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Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary  Bonuses to reward exceptional performance). • Opportunities to learn and grow through our “Employee Training & Development program”. • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. • Participation in our welfare investment and savings plan through our Provident Fund Scheme. • Birthday and Loyalty benefits. • Collaboration with SportBenefit. What to expect from our recruitment process: First interview HR call Task Assessment Technical interview Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Göppingen, Germany; München, Germany; Berlin, Germany Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for an analytical and business-oriented Compensation & Benefits Manager to help shape, govern, and continuously develop our global compensation and benefits landscape. In this highly visible role, you will own key global compensation frameworks, including salary structures, the annual salary review process, company bonus calculations, incentive offerings, and pay transparency initiatives. You will partner closely with our CHRO, HR Business Partners, Finance, Employer Branding, and business leaders worldwide to ensure our compensation and benefits practices remain competitive, fair, scalable, data-driven, and aligned with TeamViewer’s business objectives. If you enjoy working with data, designing practical reward solutions, influencing strategic decisions, and continuously improving global people programs, this role offers an exciting opportunity to make a meaningful impact. Global Salary Structures & Compensation Strategy: Own the design, governance, maintenance, and continuous development of global salary structures and compensation frameworks, leveraging market benchmarks and analytics to support informed, consistent, and scalable decision-making. Pay Transparency & Gender Pay Gap: Drive initiatives related to pay transparency and gender pay gap analysis, ensuring fair and equitable compensation practices while supporting regulatory compliance. Annual Compensation Review: Lead the annual salary review process globally, including planning, budgeting support, governance, communication, and execution. Incentive Design & Reward Offerings: Develop and enhance incentive and reward offerings in close collaboration with HR Business Partners, business leaders, and Employer Branding, ensuring they support business needs, talent attraction, retention, and employee engagement. Company Bonus: Manage company bonus calculations and support the administration of short-term incentive programs with accuracy, consistency, and transparency. Compensation Analytics & Reporting: Develop reports, dashboards, and analyses for senior management, Finance, and HR stakeholders to support strategic workforce and compensation decisions. Communication, Change Management & Total Rewards Positioning: Develop and implement communication strategies and materials related to compensation, benefits, and reward offerings, partnering with Employer Branding and Talent Acquisition to strengthen the positioning of TeamViewer’s total rewards offering for employees and candidates. Project Management: Support and lead compensation-related projects, process improvements, and transformation initiatives within the broader HR organization. Benefits & Broader Total Rewards: Support the review, harmonization, and continuous improvement of benefits and broader total rewards offerings across countries, ensuring alignment with market practice, employee needs, and business priorities. Cross-Functional Collaboration: Act as a trusted partner to the CHRO, HR Business Partners, Employer Branding, Finance, and other key stakeholders globally. Continuous Improvement: Identify opportunities to simplify, automate, and improve compensation & benefit processes, reporting, and governance structures. Requirements University degree in Business Administration, Human Resources, Finance, Economics, or a related field. Several years of relevant professional experience (typically 5+ years) in Compensation & Benefits, Rewards, HR Controlling, or a comparable analytical HR function. Strong knowledge of compensation principles, benefits, broader total rewards, global salary structures, salary benchmarking, incentive design, and market practices. Experience managing annual compensation review cycles and bonus processes in an international environment. Knowledge of pay transparency, equal pay, and gender pay gap topics is highly desirable. Excellent analytical and conceptual thinking skills with the ability to translate complex data into actionable insights. Advanced Excel skills and strong affinity for data analysis and reporting. Experience with HRIS, compensation planning, and reporting tools is an advantage. Strong stakeholder management, communication, and influencing skills across all organizational levels. Experience translating compensation and total rewards offerings into clear, engaging communication for employees, candidates, and internal stakeholders is an advantage. Self-driven, structured, and proactive working style with a passion for continuous improvement and innovation. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Option to lease an e-bike (Germany only) Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer / Software Developer (React Native) Build what’s next for players. We’re a startup inside Sony PlayStation. Fast-moving, experimental, and highly ambitious. Backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to design at startup speed and drive huge impact inside the largest gaming company in the world. We are seeking a Senior Software Engineer / Software Developer specializing in React Native and high-performance frontend development for mobile platforms. In this role, you will define the architecture, frameworks, and technical best practices. You will collaborate closely with engineers, product, and design teams to deliver best-in-class user interfaces that are performant, accessible, and delightful at scale. As a Senior Engineer, you will provide technical leadership across teams, mentor engineers, and push the boundaries of what’s possible in cross-platform frontend development. Responsibilities Define and evolve the frontend architecture for client applications on mobile using React Native and modern JavaScript/TypeScript. Drive performance optimizations and best practices for rendering, startup time, and UI responsiveness. Design and integrate custom native modules (Native Android or Native iOS) and optimize cross-platform interoperability. Partner with product managers, designers, and researchers to translate user experience requirements into elegant, maintainable solutions. Establish coding standards, testing strategies, and development patterns that raise the quality bar for frontend engineering. Mentor engineers and act as a multiplier for frontend development expertise across the broader team. Investigate new frontend technologies, frameworks, and performance techniques, and guide their adoption when appropriate. Represent frontend/OS needs in technical and architectural discussions. Requirements 5+ years of software development experience, with significant experience building React Native apps or high-performance JavaScript/TypeScript applications. BS/MS degree in Computer Science or equivalent. Expertise in native Android development (Kotlin/Java/Gradle) and shipping applications to the Google Play Store. Strong expertise in frontend performance profiling, optimization, and debugging. Passion for delivering world-class user interfaces with exceptional performance. Deep understanding of cross-platform architecture and how to bridge between JS and native modules. Proven track record of delivering production-quality mobile or desktop applications with React Native. Experience designing scalable frontend architectures and reusable UI frameworks. Strong collaboration skills and ability to work closely with native engineers, designers, and product managers. Demonstrated technical leadership: leading projects, mentoring engineers, or setting engineering strategy. Bonus A track record of building social, community, gaming, or other consumer products. Familiarity with VoIP, call dialing and ringing flows in Android/React Native Experience with accessibility, internationalization, and UI testing frameworks. Familiarity with CI/CD pipelines and modern build systems for frontend development. Previous experience at an early-stage startup or on a zero-to-one product team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $141,900 — $212,900 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Santa Clara, CA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. About the Team - LG's Emerging Technology Lab LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value. About the Opportunity We are seeking a Contract AI Researcher - Efficient AI to join LG's Emerging Technology Lab in Santa Clara, CA (hybrid). This is an exciting opportunity to work at the forefront of AI efficiency research, developing technologies that make modern LLMs, VLMs, multimodal models, and AI agents faster, smaller, and more deployable in real-world environments. In this role, you will explore cutting-edge areas such as model compression, quantization, efficient inference, reasoning optimization, and next-generation AI architectures. Your work will help enable advanced AI capabilities across LG's future products and platforms, including AI PCs, edge devices, robotics, and intelligent vehicle systems. The ideal candidate enjoys bridging research and implementation, transforming ideas from the latest scientific literature into working prototypes and measurable improvements. You will have the opportunity to collaborate with experienced researchers, contribute to publications and intellectual property, and help shape the future of efficient, on-device AI. Responsibilities •    Research, prototype, and implement AI methods that improve model efficiency, inference performance, and deployment feasibility on constrained devices. •    Optimize modern LLMs, SLMs, VLMs, multimodal models, and agentic workloads across post-training, inference, and deployment workflows. •    Propose and evaluate novel compression methods (PTQ, QAT, pruning, low-rank approximation, etc) for on-device LLM/VLM enablement. •    Devise approaches to address challenges related to long-context inference and KV cache compression in the context of reasoning and agentic applications. •    Develop gradient-free and backpropagation-free methods for model merging, compression, and efficiency-driven optimization. •    Implement and evaluate emerging efficient architectures and modules, including MoE, SSMs, hybrid models, Looped Transformers, etc. •    Prototype inference-time optimization methods such as speculative decoding, constrained decoding, low-latency generation, and kernel-level optimization. •    Build experimental pipelines, perform evaluations on standardized language, vision, reasoning, and agentic benchmarks. •    Contribute to publications, technical reports, open-source releases, invention disclosures, and IP submissions where appropriate. Required Qualifications •    M.S. or Ph.D. in Computer Science, Computer Engineering, Machine Learning, Mathematics, or a related technical field. Relevant post-graduate research and/or industry experience is preferred but not required. •    Research or engineering experience in ML, efficient AI, model optimization, or AI systems. •    Strong programming ability in Python and experience with PyTorch or a comparable deep learning framework. •    Hands-on experience with modern LLMs, SLMs, VLMs, multimodal models, or generative AI systems. •    Ability to read research papers, implement technical methods, run experiments, and communicate results clearly. •    Comfortable working in a fast-moving and ambiguous technical environment. •    Strong written and verbal communication skills for reports, presentations, demos, and technical documentation. Ways to Stand Out •    Publications in reputable venues in ML and/or systems space (e.g., ICML, ICLR, NeurIPS, ACL, COLM, EMNLP, MLSys, MICRO, etc). •    Experience with modern LLM/VLM inference and deployment frameworks such as llama.cpp, GGUF, vLLM, SGLang, TensorRT-LLM, or related systems. •    Experience with efficiency-aware post-training or finetuning methods such as PTQ, QAT, LoRA, distillation, instruction tuning, DPO, OPD, RLVR, or reasoning-oriented adaptation. •    Experience with low-level kernel implementations and on-device acceleration. •    Familiarity with emerging architectures such as MoE, SSMs, hybrid attention, or Looped Transformers. •    Experience with AI-assisted optimization, multi-agent systems, or agentic-based workflows for Efficient AI and hardware/software co-design. Contract: This is expected to be a one-year contract position, with the potential for extension based on business needs and performance. Third-Party Agency Notice: We are not accepting unsolicited resumes or candidate submission from staffing agencies or search firms for this position. Please do not contact us regarding this opportunity. #LI-JH1 #Hybrid Recruiting Range $84.13 — $91.34 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Communications Insight Analyst San Mateo, CA (Hybrid) Role Overview Within Global Content Communications, the Communication Insights Analyst will help shape how PlayStation understands social performance, social audience conversation trends, sentiment across community members and press, and the impact of company communications from a media perspective, from community to brand to product and corporate. This role will blend deep hands-on analysis with strategic partnership, helping teams move from raw information to clear, actionable insights. From ongoing social listening to campaign dashboards and reporting, this position will support how Global Content Communications interprets audience response, measures communications effectiveness, and identifies opportunities to optimize strategy. The ideal candidate brings a strong analytical foundation, sharp judgment, and the ability to translate and visualize complex, nuanced data into pivotal recommendations that are useful across a fast-moving communications organization. This role will sit within the social media team and partner closely with PR and PlayStation Studios, while also collaborating with cross-functional teams across marketing, analytics, regional teams, and other internal and external stakeholders. Responsibilities Lead owned social performance reporting for SIE business priority content across PlayStation channels. This includes but is not limited to campaign, recurring, ad-hoc reports and for internal and external stakeholders. Conduct social listening/ and sentiment analysis across different audiences, helping teams understand how PlayStation is being discussed in real time and over time. Define and refine key business metrics and reporting frameworks, build analytical models, and generate predictive insights to support business strategies. Analyze large, complex datasets (social, sentiment, web, and communications) to uncover meaningful patterns, emerging themes, risks, and opportunities that can inform strategy. Collaborate with stakeholders across business units to understand needs, deliver data-driven recommendations, and implement solutions. Support recurring and ad hoc reporting across a range of communications metrics, including social performance, conversation trends, campaign and launch impact, and media coverage. Translate quantitative and qualitative data, often addressing broad or ambiguous questions into clear narratives for stakeholders, including executive-ready summaries, dashboards, presentations, etc., and reports. Help identify and refine AI-assisted workflows that improve reporting efficiency and insight development, while applying strong judgment and validation to outputs. Partner closely with PR, PlayStation Studios, Consumer Insights, Marketing, and the broader Global Communications organization to support planning, measurement, and post-mortem learning. Stay deeply attuned to the gaming landscape, audience behavior, platform trends, and cultural context that shape how players respond to PlayStation news and content. What We’re Looking For 5–7 years of experience in data analytics, audience insights, communications measurement, social intelligence, or a related field. Bachelor’s degree in statistics, mathematics, economics, or a related field preferred; advanced degree is a plus. Equivalent experience is highly valued. Proven ability to analyze large, nuanced datasets, and synthesize quantitative and qualitative data for business decision-making via automated and manual methodologies. Proficiency in analytics and data visualization/storytelling (including tools like SQL, Python, R, Tableau, Power BI). Strong written and verbal communication skills, with the ability to present complex findings clearly and persuasively to a range of audiences (including non-technical stakeholders and senior leadership). Advanced expertise in social media analytics platforms (e.g. Emplifi, Sprinklr, Sprout, etc.) and social listening tools (e.g. NetBase, Meltwater, Brandwatch, etc.), and experience working with unstructured social conversation data. Advanced problem-solving, statistical, and creative thinking capabilities. Strong Excel skills and a demonstrated ability to work through large, messy, or nuanced datasets with rigor and precision. Experience using AI tools to improve analysis and reporting workflows, with a thoughtful approach to validating outputs and protecting quality. Familiarity with ethical data handling, privacy policies, and compliance in social listening and conversational analytics. Experience measuring communications impact across social and earned channels, including sentiment, conversation analysis, media coverage, and campaign or launch reporting. Comfort working in a highly collaborative environment with multiple internal stakeholders and shifting priorities. Strong familiarity with console and/or PC gaming, gaming culture, and the broader interactive entertainment landscape. Prior experience in gaming or entertainment analytics is strongly preferred. Experience in entertainment, media, technology, or communications-focused analysis is an integral plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $136,300 — $204,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.3 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We are looking for a DocuSign Workflow Manager to manage and improve our CLM and e-Signature workflows in DocuSign and support financial documentation processes. What You Will Be Doing: Configure and maintain DocuSign CLM workflows, Document Generation Forms, and templates, including conditional routing, approvals, and automated reminders. Diagnose routing, field-mapping, template, signature, and integration issues, coordinating with developers when required. Gather requirements from internal teams and translate them into clear system improvements. Develop and maintain processes for preparing, verifying, categorizing, and archiving financial documents. Maintain documentation on workflows, templates, and system changes. Train internal users on DocuSign processes and best practices. About You: Hands-on experience with DocuSign workflow configuration, template management, and troubleshooting. Experience with DocuSign CLM and e-Signature is a strong advantage. Proven ability to build and improve document management processes. Experience gathering requirements and working with developers or external vendors. Strong logical thinking, organizational skills, and attention to detail. Strong communication skills and confidence training non-technical users. Fluent English. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability. The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it. *This position will be onsite in San Francisco, CA WHAT YOU'LL DO: - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs - Own the full design arc on your features — from early concepts to polished, shipped work - Work across a range of product areas and design initiatives as priorities shift - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly WHAT YOU'LL BRING: - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft - A track record of solving hard interaction design problems, particularly around dense technical data - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs - You take initiative and ownership of tasks end-to-end - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible - Start-up DNA - you thrive in fast-paced, highly dynamic environments Annual salary range: $145,000-$185,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Responsible for planning, designing, optimizing, and assuring end-to-end transport networks supporting 2G, 3G, 4G, and 5G services. Key Responsibilities Develop HLD and LLD solutions for microwave, IP/MPLS, optical, and enterprise transport networks. Perform microwave path planning, link-budget calculations, frequency planning, interference analysis, and capacity dimensioning. Audit transport network capacity, configuration, quality, resilience, and performance. Monitor KPIs such as utilization, throughput, latency, jitter, packet loss, availability, and congestion. Troubleshoot performance issues and provide optimization and capacity-expansion recommendations. Design and validate QoS, redundancy, route diversity, and synchronization solutions. Support rollout, modernization, migration, acceptance, and service-readiness activities. Coordinate with RAN, Core, IP, Optical, and Operations teams. Required Qualifications Bachelor’s degree in Telecommunications, Electrical, Electronics, Computer, or related Engineering. Strong knowledge of 2G/3G/4G/5G transport architecture, including fronthaul, midhaul, and backhaul. Experience in microwave and mobile transport planning and optimization. Proficiency with Ellipse, Atoll, Pathloss, or similar planning tools. Good knowledge of TCP/IP, Ethernet, VLAN, MPLS, routing, QoS, and traffic engineering. Hands-on experience with transport NMS/EMS and RAN OSS platforms such as NCE, NSP, ENM, NetAct, or iMaster. Knowledge of microwave, routing, switching, optical transport, SyncE, PTP, and NTP. Experience in GIS, KPI analysis, time-series data, probes, and benchmarking tools. Strong analytical, troubleshooting, communication, and reporting skills. Fluent in written and spoken English. Preferred Knowledge of RAN and Core Networks. Experience in forecasting, anomaly detection, automation, Python, SQL, Power BI, or Grafana. Relevant Cisco, Juniper, Nokia, Huawei, or Ericsson certification.

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment is seeking an experienced and collaborative Regional Security Manager to lead physical security operations across the Americas (AMER) region. Reporting to the Director, Global Security Operations, this role will oversee a team responsible for regional security programs, incident response, crisis support, and operational readiness across SIE offices, studios, and events. The ideal candidate brings strong operational leadership, sound judgment, and the ability to build trusted partnerships across a global organization. This position plays a key role in helping create safe, secure, and resilient environments for employees, visitors, and business operations. What You’ll Do Regional Security Leadership Lead and support a regional team of security professionals across the AMER region. Partner with global security teams to help maintain consistent standards, processes, and operational practices. Contribute to the development and execution of regional security strategies aligned with business priorities. Use metrics and operational insights to evaluate effectiveness and identify opportunities for improvement. Support budget planning, resource management, and vendor oversight within the security function. Physical Security Operations Oversee physical security programs, policies, and procedures across offices and studio locations. Conduct risk assessments and coordinate security reviews to identify and address potential vulnerabilities. Collaborate with internal stakeholders and external partners to strengthen site security and emergency preparedness. Manage third-party security providers to ensure quality service delivery and alignment with organizational expectations. Provide guidance and operational support to regional sites on security best practices and compliance. Incident & Crisis Response Lead or support responses to workplace security incidents and safety-related matters. Partner closely with Workplace, Legal, HR/People, and other teams to support investigations and incident management. Prepare clear documentation, reporting, and recommendations following incidents or security reviews. Support emergency planning activities, tabletop exercises, and preparedness initiatives. Coordinate response efforts during significant incidents impacting employees, facilities, or operations. Event Security Support security planning and operational readiness for PlayStation events, activations, and executive engagements. Conduct event-related risk assessments and coordinate appropriate security measures. Provide on-site leadership and incident management support during key regional events. Collaboration & Communication Build strong partnerships with teams across HR, IT, Workplace, Legal, and other business functions. Communicate regularly with leadership regarding security priorities, risks, and operational updates. Maintain relationships with industry peers, security organizations, and external partners to stay informed on emerging trends and best practices. What We’re Looking For 8+ years of experience in physical security, corporate security operations, investigations, law enforcement, military, intelligence, or a related field. Demonstrated experience managing security initiatives across multiple locations or regions. Strong leadership and people management skills, including coaching and team development. Ability to assess complex situations, make informed decisions, and communicate effectively during incidents. Excellent collaboration and stakeholder management skills across diverse teams and functions. Experience managing vendors, contractors, or third-party security providers. Familiarity with crisis management, emergency response, and event security operations. Flexibility to support occasional evening/weekend work and regional travel as needed. Preferred Qualifications Experience in technology, gaming, entertainment, or other fast-paced global organizations. Industry certifications such as CPP (Certified Protection Professional) or similar credentials. Bachelor’s degree in Criminal Justice, Security Management, Emergency Management, Business, or a related field — or equivalent professional experience. Location: This position can be based in one of our California offices, including San Mateo, San Diego, Aliso Viejo, or Los Angeles. * Hybrid role with an expectation to work in-office on average 2 days per week #LI-GM1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,700 — $226,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment is seeking an experienced and collaborative Regional Security Manager to lead physical security operations across the Americas (AMER) region. Reporting to the Director, Global Security Operations, this role will oversee a team responsible for regional security programs, incident response, crisis support, and operational readiness across SIE offices, studios, and events. The ideal candidate brings strong operational leadership, sound judgment, and the ability to build trusted partnerships across a global organization. This position plays a key role in helping create safe, secure, and resilient environments for employees, visitors, and business operations. What You’ll Do Regional Security Leadership Lead and support a regional team of security professionals across the AMER region. Partner with global security teams to help maintain consistent standards, processes, and operational practices. Contribute to the development and execution of regional security strategies aligned with business priorities. Use metrics and operational insights to evaluate effectiveness and identify opportunities for improvement. Support budget planning, resource management, and vendor oversight within the security function. Physical Security Operations Oversee physical security programs, policies, and procedures across offices and studio locations. Conduct risk assessments and coordinate security reviews to identify and address potential vulnerabilities. Collaborate with internal stakeholders and external partners to strengthen site security and emergency preparedness. Manage third-party security providers to ensure quality service delivery and alignment with organizational expectations. Provide guidance and operational support to regional sites on security best practices and compliance. Incident & Crisis Response Lead or support responses to workplace security incidents and safety-related matters. Partner closely with Workplace, Legal, HR/People, and other teams to support investigations and incident management. Prepare clear documentation, reporting, and recommendations following incidents or security reviews. Support emergency planning activities, tabletop exercises, and preparedness initiatives. Coordinate response efforts during significant incidents impacting employees, facilities, or operations. Event Security Support security planning and operational readiness for PlayStation events, activations, and executive engagements. Conduct event-related risk assessments and coordinate appropriate security measures. Provide on-site leadership and incident management support during key regional events. Collaboration & Communication Build strong partnerships with teams across HR, IT, Workplace, Legal, and other business functions. Communicate regularly with leadership regarding security priorities, risks, and operational updates. Maintain relationships with industry peers, security organizations, and external partners to stay informed on emerging trends and best practices. What We’re Looking For 8+ years of experience in physical security, corporate security operations, investigations, law enforcement, military, intelligence, or a related field. Demonstrated experience managing security initiatives across multiple locations or regions. Strong leadership and people management skills, including coaching and team development. Ability to assess complex situations, make informed decisions, and communicate effectively during incidents. Excellent collaboration and stakeholder management skills across diverse teams and functions. Experience managing vendors, contractors, or third-party security providers. Familiarity with crisis management, emergency response, and event security operations. Flexibility to support occasional evening/weekend work and regional travel as needed. Preferred Qualifications Experience in technology, gaming, entertainment, or other fast-paced global organizations. Industry certifications such as CPP (Certified Protection Professional) or similar credentials. Bachelor’s degree in Criminal Justice, Security Management, Emergency Management, Business, or a related field — or equivalent professional experience. Location: This position can be based in one of our California offices, including San Mateo, San Diego, Aliso Viejo, or Los Angeles. * Hybrid role with an expectation to work in-office on average 2 days per week #LI-GM1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,700 — $226,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: When an LG refrigerator, washer or range breaks down in a customer's home, LG Electronics' Service organization makes sure it gets fixed. We're looking for a Field Service Planning Manager to lead the team that plans how that service runs: where we place technicians and partner repair shops, how we measure performance, and what we invest in next. You'll set the team's direction, lead a group of analysts, and turn their work into plans that leadership approves. For example: should we hire more LG technicians in a fast-growing region, or rely on partner repair shops there? How should we reward partners who fix things quickly and right the first time? You'll frame the question, guide the analysis, make the recommendation and see it through. The ideal candidate has led planning or analytics teams, is as comfortable reviewing a spreadsheet as presenting to executives and can turn a messy business question into a clear plan. Responsibilities: You'll lead the team, own the numbers Field Service runs on, and turn analysis into decisions. Here are examples of what that looks like: Lead and grow a team of analysts. Set priorities, assign projects and coach analysts to build their SQL, forecasting and presentation skills. Review their work, including AI-assisted analysis, so every number is checked and its logic can be explained before it reaches leadership. Set the team's strategy. Decide which problems the team tackles each year and turn them into projects with owners, timelines and measurable goals. Own the scorecard. Define the key numbers we run Field Service by, such as how long a repair takes, how often it's fixed on the first visit, how many requests are still waiting, and customer satisfaction. Make sure everyone calculates them the same way, and keep dashboards and reports that show them weekly and monthly. Turn data into better customer experiences. Combine repair records, call center data, customer surveys and comments, web data and sales data to find what frustrates customers, then recommend and track fixes. Plan the service network. Make sure every area we serve has an LG technician or partner repair shop that can reach customers in time. Use demand forecasts, technician availability and partner performance to decide where to add capacity, hire, or bring on new partners. Reduce refunds and replacements. Oversee cases where a product can't be repaired in time and is refunded or exchanged instead. Find the root causes and improve the process. Plan the year and the budget. Lead Field Service's annual operating plan and budget and track results against them. Brief leadership. Prepare business reviews and executive presentations, including monthly reports to LG headquarters in Korea. Summarize open issues and escalate them to the right teams and leaders. Improve how work gets done. Standardize processes and reports, document best practices, and replace manual reporting with automated and AI-assisted tools. Study the market. Benchmark competitors' service models and run SWOT analyses to find where LG can lead, for example how competitors schedule repair appointments. Education / Experience (Requirements): Bachelor's degree in business or a related field 4+ years of experience in strategic planning, business analytics or operations planning Experience leading a team or mentoring analysts, including setting priorities and reviewing their work Advanced Excel and PowerPoint skills, including building planning and budget models Hands-on experience with data analytics tools such as SQL and dashboards (Tableau, Power BI or Looker Studio), enough to guide analysts and check their work Sound judgment with AI-assisted analysis: you verify AI-generated results and can explain the logic and assumptions behind them Ability to explain complex topics simply to executives, in writing and in person Preferred Qualifications: Korean–English bilingual: this role communicates regularly with LG headquarters in Korea Experience in field service, after-sales service, logistics or other multi-site operations Experience with demand forecasting, capacity planning or service network design Experience designing incentive or performance programs for employees or partners Familiarity with SQL, cloud data platforms such as Google Cloud (BigQuery), or generative AI tools for analytics and automation #LI-TF1 Recruiting Range $100,000 — $113,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: France (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Real Estate, Property Management, and Leasing professionals to support a cutting-edge AI benchmarking project focused on the French real estate and hospitality-adjacent environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, customer service, leasing, sales, property management, and tenant relations challenges across residential, commercial, retail, and mixed-use developments. Your expertise will help ensure AI systems understand and respond accurately within one of France's fastest-growing sectors. WHAT YOU’LL DELIVER - Design realistic Real Estate and Leasing scenarios in French or English grounded in French operational contexts (e.g., property leasing, tenant communication, concierge services, facility coordination, sales negotiations, community management, rental operations) - Adapt structured evaluation rubrics for customer interaction, operational problem-solving, leasing workflows, and sales support tasks - Review AI and human-generated responses for factual accuracy, service quality, policy compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices across the French real estate, leasing, and property operations sectors QUALIFICATIONS - Native French with strong professional English proficiency - 5+ years of professional experience in Real Estate, Property Management, Leasing, Hospitality Services, or Community Operations - Background in one or more relevant roles: Property or Community Association Management, Real Estate Brokerage, Real Estate Sales, Leasing Operations, Concierge & Guest Services, Rental Services, Tenant Relations, or Facilities Coordination - Strong understanding of customer service workflows, leasing and sales operations, property management practices, and French real estate environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. IT Support Coordinator (Contract Role) Los Angeles, CA *12-month contract The IT Support Coordinator is capable of prioritizing, triaging and being the first point of contact for tickets in the IT Support queue. Organization and customer service skills are key in this role. RESPONSIBILITIES Coordination with IT Support to balance workload. Monitor queues of staff for issues needing responses. Monitor unassigned queue to ensure prompt responses within SLA. Communicate with customers as required: gathering additional information, informing them of changes. Improve customer service, perception, and satisfaction with fast turnaround of customer requests. Escalate service requests to appropriate teams as necessary. Assists in day-to-day IT queue support operations with some supervision Provide first-level basic support for end user issues A point of contact to the customer for all types of service requests. Maintains documentation with updates and changes Triage service requests to address urgency and scope of impact. Update KPI Dashboards weekly. Develops and reports on JIRA dashboard analytics to drive support performance improvements Work across other studios to bring ticket handling improvements and optimization across PSS REQUIRED SKILLS Basic computer and operating system skills Must be able to learn quickly in a highly technical, fast paced and deadline intensive environment Excellent written and oral communication skills are required Experience in a role involving direct customer contact (internal and external customers) Ability to work in a team and communicate effectively. Experience with Jira Service Management or other IT Service Management (Ticketing) tools NICE-TO-HAVE SKILLS CompTIA A+ Certification Self-starter and ability to work with limited supervision Degree in an IT associated field of study At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $36 — $50 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote / Boston / Salt Lake City / San Francisco / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our Platform/API engineering team. You'll be responsible for building, maintaining, and promoting our JavaScript client library, working closely with our design team to bring production-ready interfaces to life. This role is primarily focused on TypeScript/JavaScript, with some full-stack/Python work as well. Responsibilities Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with. Integrate native libraries into JavaScript/TypeScript code using tools like N-API, node-addon-api, or Wasm. Build responsive, performant front-end applications using React, Redux, Vite, Web Workers, and WebSockets. Contribute to full-stack projects, including backend work in Python (or Rust), REST API design, and database/migration work. Work between design and engineering teams to translate designs (e.g. Figma handoffs) into production-ready components and design systems. Set up and maintain CI/CD pipelines, including publishing to npm. Document components using Storybook or similar tooling. Collaborate cross-functionally to ensure smooth feature rollouts and updates. Preferred background Experience working between high-performing design and engineering teams, including production-ready design systems and tools (e.g. Figma handoffs). Proficiency with React, Redux, Vite, Web Workers, and WebSockets. Background in trading, market data, or quantitative finance. Hands-on backend experience building APIs, working with databases, and migrations. Full-stack experience with backends in Python or Rust, including REST API design. Familiarity with Storybook or similar component documentation tooling. Good communication skills and work ethic for a remote workplace. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $130,000–$215,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!