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Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a highly technical, hands-on MTS, ML Security to join Higgsfield Security and own security across our GPU clusters and AI/ML infrastructure, from model training to inference and production deployment. In this role, you will work as part of the Security team and closely with our ML and Infrastructure teams to design, implement, and operate security controls that protect models, data, and underlying infrastructure. Your core responsibilities will include securing GPU compute environments, assessing infrastructure and AI/ML vendors, and enforcing security requirements through technical controls, deployment policies, and verified remediation. We're looking for someone who combines deep security engineering expertise with a practical, solutions-oriented mindset. The ideal candidate is comfortable working across cloud environments, Kubernetes, Linux, and GPU infrastructure, and understands how to balance security, performance, and reliability in a fast-moving AI environment. This role carries direct ownership of GPU infrastructure security and the security requirements that third-party providers must meet to support Higgsfield’s workloads and data. What you'll do: AI/ML & GPU Infrastructure Security - Own the security of GPU clusters supporting distributed training and production inference across cloud and rented datacenter environments. - Harden GPU hosts, operating systems, drivers, container runtimes, Kubernetes clusters, and workload scheduling configurations; reduce privileged access and unnecessary exposure. - Secure distributed training environments and GPU workloads through isolation, access controls, and data movement restrictions. Validate isolation between tenants and workloads across compute, networking, and storage, including shared GPU environments where applicable. - Design and implement controls to protect sensitive datasets, model checkpoints, weights, and customer data. - Strengthen inference security through tenant isolation, service authorization, secure model loading. - Partner with ML and Platform Engineering teams to integrate security into infrastructure design and development workflows. Vendor Security Assessment & Enforcement - Lead technical security assessments of GPU infrastructure providers, datacenter operators, and other AI security vendors that process Higgsfield data and support AI workloads. - Evaluate vendor architecture and evidence covering tenant isolation, privileged access, data handling and retention, use of customer data for model training, encryption, vulnerability management, and incident response. - Translate security requirements into enforceable technical controls, including approved configurations, and continuous checks for configuration drift. - Track internal and vendor security findings to closure with accountable owners and deadlines, validate remediation, and escalate unmet requirements. Document any approved exceptions with compensating controls and expiration dates. Cloud & Platform Security - Design, implement, and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and third party datacenter environments. - Secure infrastructure provisioning, configuration management, and access to third-party infrastructure providers. Restrict and audit vendor and administrator access to cluster management interfaces and production systems. - Implement least-privilege access, workload identity, secrets management, encryption, and auditable access controls. - Identify and remediate vulnerabilities and configuration risks across production systems, including GPU hosts, drivers, and container runtimes, coordinating changes with infrastructure owners to maintain service reliability. Security Operations & Risk Management - Develop and maintain detection and response capabilities for infrastructure and AI-specific security threats, including unauthorized GPU workloads, privilege escalation, and suspicious data transfers. - Investigate and respond to potential credential compromise, unauthorized data access, model theft, and compromised workloads. - Partner cross-functionally to implement practical security improvements that account for the performance, scalability, and reliability requirements of GPU workloads. Requirements: - Strong hands-on experience in Security Engineering, Infrastructure Security, Platform Security, or a related technical discipline. - Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security. - Practical experience securing or operating GPU clusters or distributed AI/ML infrastructure, with an understanding of training and inference workloads, GPU drivers and runtimes, and workload isolation. - Experience designing and implementing security controls across complex, distributed production environments. - Strong knowledge of identity and access management, workload isolation, encryption, secrets management, and least-privilege principles. - Experience conducting technical vendor security assessments, evaluating supporting evidence, and driving remediation with external providers. - Ability to identify, investigate, and remediate security vulnerabilities and infrastructure threats. - Proficiency in scripting or programming languages such as Python, Go, or Bash. - Experience partnering with Infrastructure, Platform, or ML Engineering teams to implement security solutions. - Strong technical ownership, sound judgment, and the ability to prioritize security risks in a fast-paced environment. - A hands-on, collaborative approach with the ability to independently drive security initiatives from design through deployment, verify that controls work in production, and hold internal teams and vendors accountable for agreed security requirements. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: New York; San Francisco Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest in building the best creator platform with the best team in the creator economy and are looking for a Product Design Intern to support our mission. This role is based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. Our summer internship is a 12-week program running May–August 2027 or June–September 2027. This internship is designed for students graduating between December 2027 and June 2028. ABOUT THE ROLE - Make an impact. You’ll build and ship a feature that directly supports the creator economy and helps your favorite creators turn their passions into sustainable careers. - Collaborate with the best. You’ll be embedded within a world-class product team, working closely with engineers, product managers, data scientists, and other designers to bring your project to life. - Learn and grow. With guidance from an experienced design mentor, you’ll tackle design challenges, gain hands-on experience, and grow your skills throughout the internship. - Have fun! Beyond building great products, you’ll join an intern cohort in San Francisco or New York City and participate in professional development opportunities and fun events. ABOUT YOU - Currently pursuing a Bachelor’s or Master’s degree in Product Design, Interaction Design, UI/UX, Human-Computer Interaction (HCI), or a related field. - You have a creative portfolio that showcases your experience bridging thoughtful product strategy with design execution through user-centered design. - Foundation in visual design, interaction design, and prototyping. - You’re curious, enjoy experimenting with new ideas, and are excited to build from 0 to 1. - Eagerness to learn, adapt, and grow through feedback. - Genuine passion for Patreon’s mission and supporting the creator economy. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon. Patreon operates under a hybrid work model, where engineering interns are expected to come into the office three days per week, excluding sick time and leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientists and Research Engineers focused on formal methods. You will design, train, and deploy SOTA large language models and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.   WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets for theorem proving and software verification, and build evaluators and benchmarks for formal reasoning. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams.   WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Computer Science, Mathematics, Machine Learning). - Experience with autoformalization, proof automation, or verified code generation. - Experience with reinforcement learning using verifiable rewards, ideally from Lean or other proof assistants. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Miami, United States; Miami Springs, United States Workplace: on-site GREAT OPPORTUNITY TO GROW FAST IN PAY AND TITLE! Pay $22.00 – $24.00 per hour (Estimated annual equivalent of $45,760 – $49,920 based on a full-time, 40-hour work week). We are seeking a reliable, organized, and tech-savvy Warehouse Assistant Manager to support daily warehouse operations and supervise warehouse employees. You will be working directly for a well-established and successfully operated Wholesale and E-commerce company in the Footwear and Apparel industry. They are an excellent company to work for, with low turnover and happy employees! The ideal candidate is a confident leader with a positive attitude, strong computer skills, and the ability to hold employees accountable. Responsibilities Assign daily tasks to warehouse employees and ensure they are completed accurately and on time. Supervise, motivate, and hold team members accountable for their responsibilities. Oversee inventory accuracy and coordinate merchandise transfers from the warehouse to retail locations. Assist with invoicing and correctly apply payments or funds to the appropriate orders. Maintain accurate records using SAP Business One, Microsoft Excel, and other computer systems. Support efficient daily warehouse operations and help resolve employee or workflow issues. Previous experience in warehouse operations, inventory management, or a supervisory role. Strong leadership skills and the ability to assign tasks, manage employees, and maintain accountability. Comfortable using Windows, Microsoft Excel, File Explorer, and other computer applications. Experience with SAP Business One is strongly preferred. Organized, dependable, and able to take ownership of daily responsibilities. Spanish-language skills are a strong plus

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve our real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve out real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale Technical Requirements: - Bachelor's degree in Computer Science or related field - 5+ years of experience as a search engineer or in a directly related role - Hands-on production experience with OpenSearch or ElasticSearch (strongly preferred); Solr experience considered but less ideal given its age - Experience with high-scale, real-time data ingestion and search serving in a backend services context. - Proven ability to optimize query parsing, indexing, and relevance tuning for search systems - Experience measuring and optimizing search quality Preferred Qualifications: - Background in search ranking, relevance algorithms, and information retrieval - Hands-on experience with vector embeddings and semantic search implementations - Experience with TypeScript in backend systems - Track record of architecting search solutions that maintain performance under heavy load - Experience applying machine learning and NLP to enhance search relevance Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE #LI-AK2 #LI-CC1       Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Compensation Partner to join our Total Rewards team and lead compensation for our international locations as Anthropic builds out its global presence. This role will support our international org on the strategy, design and execution of Anthropic's compensation programs, adapting a global framework to markets that work differently. It is a great fit for someone who has seen compensation excellence at scale and has operated in rapidly scaling, high-ambiguity environments with evolving scope. You'll serve as connective tissue between a fast-moving regional business and a global Total Rewards team. Responsibilities Own compensation for our international locations (such as Germany, France, UK, Ireland, Japan, Australia, India, and beyond as the international team grows), building scalable processes and infrastructure across key markets Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs, and adapt it for local market practice, legal requirements, and competitive dynamics while keeping a consistent global philosophy Operate as a strategic compensation business partner to international leadership, People Partners, and recruiting, building relationships and context to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs Own comp cycle execution end-to-end for international employees, including local market benchmarking, budget modeling, currency considerations, manager enablement, edge-case resolution, and exec-ready rollups, in partnership with the broader Total Rewards team Navigate complex international regulatory environments, ensuring compliance with local pay and employment requirements across markets, including works councils, statutory pay and benefits requirements, pay transparency obligations, and country-specific equity and tax considerations, in close partnership with Legal and Equity Build and maintain international benchmarking methodology Provide subject matter expertise and counsel to People Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations across regions Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic recommendations Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization Develop and deliver enablement on our compensation philosophy and programs across Anthropic for your business stakeholders You may be a good fit if you: Have deep expertise in compensation, preferably in a high-growth environment, with direct experience across multiple countries or regions Have a strong working knowledge of international compensation practices and the regulatory landscape across key markets, including works councils and pay transparency requirements Have experience localizing global compensation programs Excel at collaborating across time zones with exceptional cross-cultural communication skills Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver great results Thrive in strategic thinking while remaining comfortable with hands-on execution and detailed analysis Are an exceptional communicator, particularly in writing Are comfortable with ambiguity and thrive in fast-paced, high-growth environments Strong candidates may also: Speak languages relevant to our international markets (fluency in German, French, Japanese, or other languages is a plus) Have supported a US-headquartered company through rapid international expansion The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Compensation Partner to join our Total Rewards team and lead compensation for our international locations as Anthropic builds out its global presence. This role will support our international org on the strategy, design and execution of Anthropic's compensation programs, adapting a global framework to markets that work differently. It is a great fit for someone who has seen compensation excellence at scale and has operated in rapidly scaling, high-ambiguity environments with evolving scope. You'll serve as connective tissue between a fast-moving regional business and a global Total Rewards team. Responsibilities Own compensation for our international locations (such as Germany, France, UK, Ireland, Japan, Australia, India, and beyond as the international team grows), building scalable processes and infrastructure across key markets Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs, and adapt it for local market practice, legal requirements, and competitive dynamics while keeping a consistent global philosophy Operate as a strategic compensation business partner to international leadership, People Partners, and recruiting, building relationships and context to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs Own comp cycle execution end-to-end for international employees, including local market benchmarking, budget modeling, currency considerations, manager enablement, edge-case resolution, and exec-ready rollups, in partnership with the broader Total Rewards team Navigate complex international regulatory environments, ensuring compliance with local pay and employment requirements across markets, including works councils, statutory pay and benefits requirements, pay transparency obligations, and country-specific equity and tax considerations, in close partnership with Legal and Equity Build and maintain international benchmarking methodology Provide subject matter expertise and counsel to People Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations across regions Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic recommendations Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization Develop and deliver enablement on our compensation philosophy and programs across Anthropic for your business stakeholders You may be a good fit if you: Have deep expertise in compensation, preferably in a high-growth environment, with direct experience across multiple countries or regions Have a strong working knowledge of international compensation practices and the regulatory landscape across key markets, including works councils and pay transparency requirements Have experience localizing global compensation programs Excel at collaborating across time zones with exceptional cross-cultural communication skills Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver great results Thrive in strategic thinking while remaining comfortable with hands-on execution and detailed analysis Are an exceptional communicator, particularly in writing Are comfortable with ambiguity and thrive in fast-paced, high-growth environments Strong candidates may also: Speak languages relevant to our international markets (fluency in German, French, Japanese, or other languages is a plus) Have supported a US-headquartered company through rapid international expansion The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €220.000 — €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Software Engineer, Backend to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 3 days per week on a hybrid work model. About the Team Our team builds the insights and analytics experiences creators rely on to understand and grow their business on Patreon, along with the infrastructure that keeps those numbers accurate and trustworthy. We partner closely with Data Engineering, Data Science, Product, and Design to turn creator and fan data into features creators use every day. About the Role As a Backend Engineer on the team, you will build and own the services, APIs, and data flows behind creator insights. You will bring a strong backend foundation and the curiosity to work in the data layer: designing data models, building and maintaining pipelines and jobs, and making sure the data creators see is correct, fast, and reliable. You will work across the stack from ingestion to the product surface, and take on work that today depends heavily on Data Engineering. In this role you will: - Design, build, and operate backend services and APIs that serve creator insights at scale. - Build and maintain data pipelines, jobs, and models that feed insights features, in partnership with Data Engineering. - Improve data quality, monitoring, and performance so creators can trust what they see. - Collaborate with product managers, designers, data scientists, and engineers to turn ambiguous questions into well-scoped solutions. - Drive technical design, write well-tested and maintainable code, and mentor teammates. What you’ll need: - 3+ years or 5+ years of experience in backend software development, building production services and APIs. - Strong programming skills in Python or a similar language, with good engineering practices (testing, CI/CD, monitoring). - Strong SQL skills and experience designing and optimizing relational data models (e.g. MySQL, PostgreSQL). - Hands-on experience with data-intensive work, such as batch or streaming pipelines, scheduled jobs, event logging, or serving analytical data (e.g. Airflow, Spark, Kafka / Kinesis, dbt, a data lake or warehouse). - Care about data accuracy and reliability, including idempotency, backfills, and handling late or duplicate data. - Excellent collaboration and communication skills; comfortable partnering with product, design, and data teams. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with data quality, lineage, or observability tooling. - Experience building customer-facing analytics, reporting, or insights features. - Familiarity with metric design and data modeling for analytics and experimentation. - Familiarity with Elastic Search or OLAP We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. [US] Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. [Portugal] Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, vacation leave, company holidays and recharge days, lifestyle stipends, learning and development stipends, patronage, parental leave and sick leave, and pension with an employer contribution. [UK] Patreon offers a competitive benefits package including and not limited to salary, equity plans, vacation leave, company holidays and recharge days, patronage, parental leave and sick leave, and pension with an employer contribution. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an General QA engineer! Requirements Education & Experience Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field. 3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment. Experience with quantitative systems, HFT, trading platforms, or financial applications is highly preferred. Core Technical Skills Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes. Experience testing REST APIs and WebSocket-based services. Proficiency in SQL for data validation, troubleshooting, and debugging. Experience with API testing tools such as Postman. Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana. Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring. Experience working with Docker. Proficiency in scripting or programming languages such as Python or Java. Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas. Familiarity with version control systems and CI/CD workflows. Experience with automated testing, continuous integration, and deployment processes. Trading & Quantitative Systems Knowledge Understanding of market microstructure and trading products, including spot, futures, and swaps. Familiarity with low-latency and high-frequency trading systems. Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading. Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts. Analytical & Problem-Solving Skills Strong analytical and problem-solving skills. Ability to independently investigate and solve complex technical issues. Strong focus on quality, reliability, and system performance. Experience working with complex distributed systems is an advantage. Mindset & Soft Skills Strong interest in technology, quantitative finance, and continuous learning. Team-oriented mindset with strong communication and collaboration skills. High level of ownership, reliability, and attention to detail. Predictable availability to support stable operation of production trading systems when required. Responsibilities As a QA Engineer, you will be part of a high-performance team responsible for developing and maintaining low-latency infrastructure, HFT and quantitative systems, and real-time risk management tools. You will work closely with developers, analysts, researchers, and system engineers to ensure system reliability, scalability, performance, and quality. Key Responsibilities: Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools. Build and maintain automated test suites for real-time quantitative systems and APIs. Ensure adequate test coverage for low-latency, high-availability, and scalable systems. Collaborate with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical objectives. Investigate, reproduce, and debug issues in complex distributed systems. Contribute to performance testing, latency benchmarking, and system monitoring. Support CI/CD pipelines through automated testing strategies. Maintain high standards of test documentation and test coverage. Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities Hire, onboard and develop a high-performing team of cybersecurity sales specialists Own your team's forecast, pipeline health and results across the business units you cover Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort Scale enablement so Account Executives across every business unit can spot and qualify security opportunities Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security History of building a business before there was an established approach, through outbound and partners rather than inherited accounts Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do Commitment to making AI systems safe and beneficial Preferred Qualifications Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience managing managers and individual contributors, or scaling a sales team through fast growth Experience leading teams selling AI, developer or data platform products to technical buyers Time spent as a security practitioner or sales engineer before moving into sales leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an MLOps Engineer to build the infrastructure and tools that support ML work at Kiefer Tech. Our work spans Sophea AI language model, the Sophea Nous RAG platform, robotics, and Hyperion X, our energy trading platform. You will work closely with ML and Engineering teams to make experiments reproducible and model deployment and production operations reliable. What you will do - Build workflows for running and managing model training and fine-tuning jobs. - Make experiments traceable through dataset, checkpoint, and model artifact versioning. - Automate model evaluation and release checks so teams can compare changes before deployment. - Build deployment and serving workflows, including safe rollout and rollback of model versions. - Improve GPU workload scheduling and utilization, with attention to performance and compute cost. - Add monitoring and troubleshooting tools for production ML systems, and work with teams to resolve recurring issues. What you will need - Hands-on experience building or operating infrastructure for production ML systems. - Strong Python and Linux skills, with the ability to write maintainable production code. - A practical understanding of the ML lifecycle, from experiments and evaluation to model deployment. - Experience with containers, workload orchestration, CI/CD, and infrastructure automation. - Experience working with GPU workloads and measuring performance, utilization, and cost. - Experience monitoring and troubleshooting production systems. Nice to have - Experience with LLM serving tools such as vLLM, SGLang, or NVIDIA Triton. - Experience with distributed or multi-GPU training. - Experience with ML tooling such as MLflow, Weights & Biases, Kubeflow, or Ray. - Experience supporting ML workloads in private cloud or on-premises environments with data governance requirements. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Здесь придётся строить систему, которая выдерживает эту гонку и успешно борется с лучшими фродерами мира;

- Инженер уровня Middle/Senior. - 3+ года коммерческой разработки, Python/Go, Kubernetes.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Engineer on the Latency & Throughput team, you will push the frontier of LLM inference by researching and prototyping techniques that reduce latency and increase throughput — from speculative decoding and quantization to KV compression and new attention variants. The team sits at the intersection of research and production: you will take ideas from recent literature, form hypotheses, run experiments, and ship the techniques that prove out into our serving stack. This role sits between our inference engineers, who own the production serving stack, and our research scientists, who focus on paper-level contributions. You will be more science-focused than a pure engineer: you are expected to generate new ideas, keep up with the state of the art, and implement proof-of-concepts that bridge the gap between academic results and production impact. Some techniques you explore will be lossy or require integration into training — retraining models, tuning architectures, or training auxiliary models to improve inference. You will work closely with the Inference Foundation and Kernels teams, who turn your validated techniques into production recipes, and with pretraining and RL teams when your work touches model training. Success is measured by demonstrated latency or throughput gains, first at small scale, then adopted in production. What You Will Do - Research and prototype inference techniques — speculative decoding, quantization, KV compression, watermarking, and new model architectures — by reading recent literature and forming testable hypotheses. - Design and run experiments to validate or refute ideas, iterating quickly on small-scale setups before proposing production integration. Demonstrate clear latency or throughput gains without unacceptable quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training, retraining, or training auxiliary models to improve inference. Build the right tooling and validation platforms to facilitate AI-driven inference research. What We're Looking For - A strong ML background with solid knowledge of LLM training techniques — architecture, tokenization, fine-tuning, and evaluation. - Hands-on experience with Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. - Research experience of some form: a thesis, publications, a dedicated research project, or efficiency-oriented work in a lab or industry research setting. A PhD is not required, but we are looking for genuine research depth. - A track record of conducting experiments: forming hypotheses, designing controlled comparisons, and drawing clear conclusions from results. - Familiarity with the state of the art in LLM inference — you know what has been tried, what works, and where the open problems are. - Self-starter, low-ego, and collaborative. You are comfortable with ambiguity, negative results, and are eager to take matters into your own hands. - Inference or serving experience is a plus, not a requirement. Prior work with vLLM, production LLM deployments, or serving systems will help you ramp up faster. Location and Remote This role is based in our Paris or London offices (hybrid). We will prioritize candidates who reside in the Paris area or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. For senior profiles, we will also consider remote candidates based in France. In that case, we ask all new hires to visit our Paris office: - For the first week of their onboarding (accommodation and travel covered) - Then at least 3 days per month WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £195,000 — £280,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Machine Learning Engineer. Your main tasks will be: Set the ML direction: choose which strategic bets to make and tie each one to clear business needs. Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization. Design and build agent harnesses and tool-using LLM systems. Shape multi-agent development workflows that make the team faster and more effective. Build evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance. Improve dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior. Ship production systems that directly shape user experience, retention and monetization. We expect from you: Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers. Training and fine-tuning LLMs. SFT, LoRA/QLoRA, PEFT. Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep. Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining. LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation. Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails. Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs. Observability for agents: traces, tool-call logs, transcript analysis, failure clustering. Strong understanding of transformer architecture and modern LLM behavior. Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs. Git, Docker, Linux, basic MLOps. Fluent Russian, ready to work in CET (±2) hours. Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a DevOps Engineer with Big Data Skills! Requirements We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must. IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them. Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators). Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider. Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems. Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling. Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control. Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime. SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation. Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management. Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines. Extra Credit / Big Pluses Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design. Hands-on experience with dbt and analytics engineering practices. Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena. FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale. Spark performance tuning and job optimization. Change data capture (CDC) with Debezium or similar tools. Data quality tooling (Great Expectations, Soda) integrated into CI/CD. Golang or Rust tooling experience. Knowledge of data governance and compliance (GDPR, data retention, PII handling). Understanding of business processes in the FinTech/Banking/Crypto sector. Responsibilities Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow. Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback. Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery. Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies. Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work. Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control. Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures. Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data. BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools. Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production. Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions. Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.