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Location: Hong Kong or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong or Remote Type: Full Time The Role As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction. The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research. This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation. The Mindset You are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement. What You’ll Do Develop novel ML models and algorithms for computational perception and interaction Design and execute rapid experiments to validate new ideas and methods Explore advancements in computer vision, audio processing, sensor fusion, or related domains Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems Measure and track experimentation velocity, the number and quality of validated experiments per quarter Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead Document research findings and communicate technical progress to the broader team Must Have 2+ years of hands-on ML research experience in industry, academia, or research labs Demonstrable track record of designing and conducting ML experiments from hypothesis to validation Proficiency in Python for ML research and experimentation Deep expertise with PyTorch or TensorFlow for model development Experience training and evaluating ML models on real datasets Understanding of model evaluation metrics, experimental design, and statistical validation Familiarity with data preprocessing, augmentation, and management for ML workflows Experience presenting research findings to technical audiences Nice To Have Expertise in real-time inference, model optimization, or efficient architectures Experience with self-supervised learning, few-shot learning, or foundation models Background in multimodal learning combining vision, audio, and sensor data Contributions to open-source ML projects or released research code Experience collaborating with engineers to productionize research outcomes Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps Background in edge computing, on-device ML, or resource-constrained environments Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems Knowledge of privacy-preserving ML, federated learning, or on-device data processing We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Santa Clara, CA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. The Opportunity About the Team – LG’s Emerging Technology Lab LG’s Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization. Based in Silicon Valley and New Jersey, we drive excellence across the CTO organization and LG’s business units by pioneering select emerging technology areas. As a Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships and deliver measurable business value. About the Position – Physical AI Researcher We are seeking an exceptional Physical AI researcher to help define the future of embodied intelligence at LG and shape our research and product roadmaps toward the vision of Zero-Labor Home . This hybrid role, based at LG's Emerging Tech Lab in Santa Clara, CA , offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next-generation LG robot platforms. You will work at the frontier of embodied intelligence, leading research that can transition from breakthrough ideas to real-world products at global scale. You will lead a growing team of Physical AI researchers and work closely with robotics and AI teams across LG to translate cutting-edge research into next-generation intelligent systems. What You Will Do Set the technical direction for LG’s Physical AI team , leading advanced research in multimodal robot foundation models and physical intelligence. Lead and manage collaborations with LG HQ and third-party research labs to drive the technical integration of advanced robotics technologies into the LG ecosystem. Build and influence a cross-functional Physical AI ecosystem , partnering with LG’s AI, robotics, software, and product teams as well as leading external research partners. Define project scope, goals, and deliverables that align cutting-edge research with strategic business objectives. Lead fundamental and applied research that advances the scientific and technological frontiers of physical intelligence, with a clear path toward real-world robotic systems. Invent and improve paradigms for physical intelligence , including multimodal foundation models (images, video, text, tactile, etc.), world-action models, generalist dexterity, and agentic robot orchestration. Why This Opportunity Is Unique See your research move beyond the lab. Work at the intersection of frontier AI research and large-scale consumer deployment, where breakthroughs can transition rapidly from research into products. Maintain a strong research presence while building real products , with support for research ownership, publication, and collaboration with leading universities and AI labs. Engage with startups and industry collaborators to co-design hardware-software systems and validate them in real-world applications. Required Qualifications PhD in Computer Science, Robotics, Machine Learning, or a related technical field, with a strong publication record and 3+ years of industry experience. Deep research and engineering expertise in one or more of the following areas: Robot foundation models (e.g., VLAs, LBMs, diffusion/flow matching policies for manipulation and locomotion) World model training for robot action prediction Spatial intelligence (self-supervised visual foundation models, 3D scene reconstruction, embodied scene understanding) Multimodal representation learning across vision, language, and touch Learning from human demonstrations and self-play 1+ years of experience leading technically ambitious research projects in dynamic, fast-moving environments. Hands-on experience integrating AI models with real robotic systems, including manipulators and/or mobile robots, and sensors such as RGB and depth cameras, LiDAR, force-torque sensors, and tactile sensors. Experience with physics-based simulation platforms (e.g., PyBullet, MuJoCo, Isaac Sim) for large-scale data generation, experimentation, and evaluation. Excellent written and verbal communication skills, with the ability to clearly articulate complex technical ideas across research, engineering, and leadership teams. Please Note: the salary range provided is dependent on the experience and level of candidate hired. #LI-JH1 #HYBRID Recruiting Range $200,000 — $350,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry. Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open, and collaborative environment that thrives on learning and practicing Paid internship opportunity Key Responsibilities Collaborate with the product team to design and develop prototypes of innovative telecommunication solutions and next-generation features. Conduct in-depth data analysis and perform validation of algorithms and models to support Product Owners in making informed decisions. Handle data ingestion, movement, transformation, and ETL processes to enable effective product design and feature prioritization. Create compelling data visualizations using the most appropriate tools; interpret and clearly communicate the statistical insights and underlying stories to stakeholders. Required Qualifications & Skills Currently pursuing a Bachelor’s  degree in one of the following fields: Telecommunications Engineering, Computer/ Software Engineering, Artificial Intelligence Engineering, Control & Automation Engineering Practical experience in programming and scripting (Python and/or C# preferred) Hands-on experience with data collection, data processing / cleaning, and data visualization Strong proficiency in SQL (writing queries, data extraction, and analysis) Fluent in English, both written and spoken, with the ability to actively participate in technical discussions and meetings Strongly Valued (Advantages / Nice-to-have) Practical knowledge or project experience in machine learning / AI model development Familiarity with Large Language Models (LLMs) and Intelligent Agents Solid understanding of statistics and strong data visualization skills Previous exposure to or working experience in the telecommunications domain Apply today and unlock your potential!

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11608 Executive Administrative & Research Virtual Assistant Independent Contractor – CPT-11608 Executive Administrative & Research Virtual Assistant/Business Support VA/Entry-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A Vancouver-based business owner operating across a global B2B brokerage and consulting company is seeking an Executive Administrative VA to support CRM management, SharePoint organization, inbox administration, and detailed business-development research. The position is primarily backend. There will be no negotiating, pricing, commitments, or client-facing decision-making. Accuracy, confidentiality, research quality, and good judgment are critical. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: CRM & Inbox Administration Review incoming GCIS emails and identify relevant information for CRM entry Create and update contacts, companies, buyer/seller profiles, and deal records in Zoho Record notes, conversations, follow-up dates, and relevant correspondence Attach emails and supporting documents to CRM records Clean duplicate, incomplete, or outdated information Organize the inbox and flag items requiring the client’s attention Provide calendar management and scheduling support, prioritizing these responsibilities as directed by the client. Coordinate working hours to ensure sufficient overlap with the client for communication, questions, and task coordination. SharePoint & Document Management Save attachments and business documents into Microsoft SharePoint Maintain organized folders and subfolders Apply consistent naming and filing conventions File contracts, purchase orders, company records, and supporting documentation Identify duplicate or outdated files Keep documents easy for the client and team to locate Research & Opportunity Tracking Research grant opportunities, RFPs, and government procurement opportunities Research First Nations procurement and economic-development programs Identify organizations that may need consulting or grant-writing support Find relevant decision-makers and contact information Track deadlines, eligibility requirements, contract values, and funding amounts Maintain research in shared spreadsheets or documents Prepare concise summaries explaining who to contact, why the opportunity matters, and what the client should know before outreach Gradually take on more research responsibilities as familiarity with the client's business, industry, and research requirements develops. Help document existing business processes into SOPs as needed. Identify opportunities to improve the client's existing calendar, email, and administrative workflows, and implement agreed-upon organizational improvements. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: 2+ years of administrative, executive-assistant, or operations experience required Strong CRM experience required Zoho experience strongly preferred Microsoft SharePoint experience strongly preferred Professional inbox-management experience preferred Excellent written English required Strong online research skills required B2B, procurement, grant, or Indigenous-business research experience is a plus IDEAL CANDIDATE PROFILE Highly organized and detail-oriented Strong executive-assistant or operations background Excellent online researcher Accurate with CRM and data entry Comfortable handling highly confidential information Proactive but knows when to ask questions Able to follow SOPs and work independently Comfortable using AI as a tool without relying on it as the final source SOFTWARE Zoho CRM Microsoft SharePoint Microsoft Office / Google Workspace Google Sheets / Docs AI Productivity Tools Work Schedule Contracted Hours per Week: 10 Hours (Hours expected to increase based on performance and workload) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: within 9am-5pm PST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior, Senior, and Advanced Level Contracted Hours per Week: 10 hours/week Daily Working Time:  within 9am-5pm PST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-C (Strong spoken and written English required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Bangalore, India 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Tokyo, Japan 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Seoul, South Korea 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Sydney, Australia 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Чем предстоит заниматься: Активный поиск ( сорсинг ) IT -кандидатов по сложным запросам разработчиков, DevOps , Data Scientists , QA и других специалистов. Работа с международными площадками: LinkedIn (включая X-Ray search), GitHub, Stack Overflow, Telegram-чаты, специализированные англоязычные форумы.

Bitdeer is looking for a research scientist or research engineer to research, implement, measure, and ship inference-serving system improvements.

Workplace: remote Requirements 3+ years in market research / competitive intelligence / business analysis / B2B marketing research Strong analytical skills: can structure an open question, find and verify sources, work with incomplete data and reach clear conclusions Hands-on, everyday use of AI research tools such as Claude, Perplexity or ChatGPT, including checking their output for accuracy Gets up to speed quickly in unfamiliar industries Clear, concise written English (C1or higher is preferred); can turn research into summaries that others act on Can run several research requests in parallel and keep to deadlines Nice to have Background in IT services, software development or B2B tech Familiarity with research and data tools such as LinkedIn Sales Navigator, Crunchbase, Similarweb or Statista Basic understanding of tech services (cloud, data, AI, ERP, CRM), enough to read case studies with confidence Responsibilities Competitor research and analysis: track IT services competitors across our verticals: their offers, positioning, case studies, and event presence; prepare competitor profiles and side-by-side comparisons for marketing; Industry trend outlooks Research technology, market and regulatory changes in each vertical: produce periodic outlooks showing where client demand is moving and how it affects our offers; ICP (Ideal customer profile) research and analysis For each ICP we select, research target companies, decision makers, business priorities, pain points and buying triggers: help turn findings into ICP profiles that marketing can use for targeting and messaging; event and audience research Find industry events that match our ICPs: assess each event's audience (attendee profile, speakers, exhibitors, sponsors) and estimate what share fits our ICP We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely English courses online Corporate parties and events for employees and their children Gym membership compensation, corporate sport competitions (cybersport included) 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Marina hh@itransition.com

Location: Москва Приглашаем исследователей в области машинного обучения в команду Рекомендательных систем и персонализации Центра практического ИИ. Центр практического искусственного интеллекта - стратегическое подразделение Сбера, создающее наукоемкие технологии. Мы создаем новые алгоритмы рекомендательных систем и адаптируем SOTA-подходы для задач банка и компаний-партнеров, помогаем бизнесу внедрять новые технологии. Также мы разрабатываем собственные open-source фреймворки и публикуем результаты наших исследований на международных конференциях уровня A/A\*. Приглашаем присоединиться к исследованиям и прикладным проектам в области рекомендательных технологий, DL-моделей для последовательных данных и подходов на стыке LLM и RecSys. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности ### Наши задачи: * развиваем библиотеку для рекомендательных систем RePlay [https://github.com/sb-ai-lab/RePlay](https://github.com/sb-ai-lab/RePlay) * разрабатываем и улучшаем алгоритмы рекомендательных систем * разрабатываем и обучаем трансформерные модели на последовательностях событий на последовательностях событий на банковских данных * проводим исследования в области sequential recommendations, LLM для рекомендаций, foundation models для событийных данных sequential recommendations и генеративных рекомендаций * разрабатываем и внедряем AI агенты для банка * пишем статьи и выступаем на ведущих мировых и российских конференциях. Требования ### Мы ожидаем: * опыт работы от 2 лет в области, связанной с RecSys / DL / NLP * умение писать читаемый и хорошо структурированный код на python * знание стандартных библиотек и фреймворков (numpy, pandas, polars, scikit-learn, pytorch, pytorch-lightning, transformers) * навыки организации и воспроизводимого проведения ML-экспериментов (Hydra, Сlearml, Mlflow, W&B, Neptune) * опыт разработки и обучения моделей с помощью pytorch * знание математики, глубокое понимание классического ML и современных методов DL, широкий кругозор в ML в целом * понимание современных Transformer-based архитектур для работы с последовательностями * знание ключевых рекомендательных подходов и методов их оценки * умение читать, анализировать и воспроизводить научные статьи. Будет плюсом: * опыт успешного участия в ML соревнованиях и хакатонах * опыт написания научных статей, наличие публикаций * понимание принципов работы современных LLM и LLM-агентов. Условия ### Мы предлагаем: * комфортный современный офис г. Москва, рядом с метро Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Serbia; Cyprus; London, United Kingdom; Amsterdam, Netherlands; Singapore; Georgia We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals). You will take over a live, operating production ML trading system with existing Capital Under Management and lead a dedicated research team. Key Responsibilities Full Ownership: Take complete control of the research pipeline, model architecture, signal generation, and risk limits. Alpha Generation: Design, backtest, and deploy new profitable ML models and quantitative trading strategies. Execution & Scaling: Optimize execution algorithms, refine live strategy performance, and scale capital under management. Leadership: Lead, mentor, and grow a team of quant researchers and developers. Requirements Education & Mathematical Background: Degree in CS / Math / Data Science from a top-tier university (MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents). Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record of developing profitable ML models or quantitative trading strategies in production. Nice to Have: Experience in crypto/HFT/algorithmic trading (Order Book dynamics, L2/L3 data, funding rate arbitrage, liquidations). Proficiency in C++ (reading, profiling, and optimizing performance). Competitive programming / Kaggle achievements (IMO, IOI, ICPC, Codeforces, Kaggle Master/GM) or top-tier publications (NeurIPS, ICML, ICLR). English: A2+ (Internal team communication is in Russian; fluent spoken English is not required). Benefits Competitive fixed salary. PnL share (individual agreement). Direct influence on risk limits, capital allocation, and research roadmap. Remote work or office in Serbia, official contracting via Dubai / Serbia.

-Проводить глубокий research в рамках поставленных задач. -Изучение и анализ JS скриптов на сайтах.

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. Requirements Minimum 10 years of relevant experience in corporate strategy, strategic finance, investment, corporate development, management consulting, private equity / venture capital, investment banking or a comparable analytical leadership role. Demonstrated experience developing or maintaining enterprise or group-level strategy and translating complex analysis into clear choices for senior decision-makers. Strong portfolio mindset, with the ability to assess strategic fit, concentration, adjacency, risk, expected value and trade-offs across multiple businesses, products, markets and initiatives. Strong financial and investment analysis skills, including business-case review, valuation logic, unit economics, scenario analysis and sensitivity testing. Proven ability to evaluate new projects, market-entry plans, strategic initiatives and investment theses independently and to challenge assumptions constructively. Excellent research and intelligence capabilities, including the ability to synthesize market, competitor, regulatory, technology and customer signals into decision-relevant implications. Experience preparing executive and Investment Committee / Board-level materials, recommendations and concise decision memos. Prior experience leading and developing a high-performing strategy, research or analytical team, with strong quality-control standards. Experience in financial services, FinTech, digital assets, payments, banking, brokerage, investment or financial infrastructure is strongly preferred. Excellent written and verbal communication, stakeholder management and presentation skills; able to build trust while maintaining independent judgment. High professional integrity, intellectual curiosity, discretion and the confidence to provide an evidence-based challenge to senior stakeholders. Advanced degree or relevant professional qualification is a plus. Responsibilities Group Strategy & Portfolio Stewardship Own and maintain the group strategy process, including the strategic narrative, priorities, key choices, assumptions and periodic refreshes. Maintain a portfolio-wide view of businesses, products, markets, capabilities and strategic initiatives, and identify imbalances, gaps, duplication, concentration risk and adjacency opportunities. Develop evidence-based recommendations on where the group should focus management attention, strategic resources and future investment, while preserving the Investment Committee's decision authority. Ensure that major roadmaps and programs remain coherent with the approved group strategy and portfolio logic. Research, Intelligence & Strategic Insight Set the strategic research agenda based on the group's highest-priority decisions and uncertainties. Build and maintain structured intelligence on markets, competitors, regulation, technology, customer behavior, business models and relevant macro trends. Convert research findings into implications, scenarios, strategic options and concise recommendations rather than stand-alone information reporting. Establish strong standards for source quality, analytical rigor, assumptions, fact checking and institutional knowledge retention. Value Creation Opportunities Continuously identify and prioritize value creation opportunities across the existing portfolio, including growth, cross-business synergies, product / market adjacencies, partnerships, operating-model improvements and other strategic moves. Structure each opportunity into a clear thesis covering expected value, strategic rationale, risks, dependencies, required capabilities, sequencing and success measures. Work with the Portfolio Management Team and Business Owners to convert approved opportunities into roadmaps and executable initiatives without taking over day-to-day execution ownership. Evaluation of New Projects, Markets & Strategic Moves Lead independent strategic review of new project proposals and market plans before they are submitted for approval. Assess strategic fit, market attractiveness, competitive position, economics, risk, execution readiness, alternatives and portfolio implications; test critical assumptions through scenarios and sensitivity analysis. Formulate a clear recommendation - proceed, revise, stage, defer or stop - and define the key conditions or milestones required for success. Partner with the M&A and Deal Team on strategic fit, investment thesis and portfolio impact of potential acquisitions, divestments and other transactions, while the Deal Team retains transaction execution ownership. After-Action Review & Portfolio Learning Establish a systematic after-action review approach for major strategic actions, initiatives and completed deals. Compare actual outcomes with the original strategic thesis, expected economics, risk assumptions, milestones and value-creation plan, and assess the resulting effect on the group portfolio. Capture lessons learned, identify repeatable patterns and feed findings back into strategy, evaluation frameworks and future recommendations. Investment Committee & Executive Decision Support Prepare clear, concise and decision-grade strategic recommendations for Investment Committee and senior leadership consideration. Work with the Board / IC Secretary to ensure strategic materials are complete, internally consistent and framed around the decision required, alternatives, trade-offs and implications. Support interpretation of execution feedback and result reporting from the Portfolio Management Team and Business Owners, focusing on strategic implications and any need to revisit prior assumptions or decisions. Maintain a disciplined distinction between analysis / recommendation, governance decision-making and execution ownership. Team Leadership & Functional Excellence Lead, coach and develop the Strategy and Research Team; allocate work against the highest-value strategic questions and maintain clear accountability for output quality and deadlines. Build repeatable methods, templates and analytical standards for strategy development, market / project evaluation, portfolio review, research and after-action analysis. Create a high-trust culture that values intellectual honesty, constructive challenge, clear writing, collaboration and decision usefulness. 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. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Mistral is looking for a Research Engineer GPU Performance to optimize generative AI model training and inference on GPUs.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads 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: $320,000 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a frontier data research lab. Their thesis: models are what they eat. A large share of training compute is burned on data that's redundant, irrelevant, or harmful - so they built a platform that automatically curates petabytes of raw data into high-quality training data. It's modality-agnostic, needs no labels, and runs inside the customer's own cloud or on-prem. The results are concrete: 7-40x faster training, performance as if trained on 10x+ more raw data, and models with less than half the parameters beating larger ones. AI labs and enterprises use it to train and adapt their own models. Our client has raised ~$60M across Seed and Series A, led by Felicis and Amplify Partners, with Radical Ventures, Microsoft, and Amazon. Angels include Geoff Hinton, Yann LeCun, and Jeff Dean. The team is growing fast on the back of a strong enterprise pipeline. THE MISSION Every company should own its intelligence. Our client wants every AI team - not just the frontier labs - to have frontier-quality training data and full control over the cost and roadmap of their own models. THE OPPORTUNITY Our client is hiring an AI Developer Experience & Media Lead to build its media and developer experience function from zero. You'll be the voice of the company on X and beyond, turning real research into threads, demos, videos, and launches that technical people actually want to read and share. You'll sit on the marketing team and work directly with the co-founder on content strategy and execution, with direct access to the researchers and engineers doing the work. No legacy playbook, no layers of approval - and an AI community that's already paying attention. WHAT YOU'LL DO - Turn research and product work into technical storytelling - threads, demos, videos, and launches - Run the company's voice on X day-to-day: posting, replying, quote-posting, and joining live conversations in real time - Help founders and researchers show up in their own voices - draft for them and enable their social presence - Own research launches end to end across X, the technical blog, and video - angle, assets, sequencing, follow-through - Build real relationships with researchers, open-source developers, AI creators, and technical founders - Bring community feedback back to product and research to shape what gets built and communicated next - Experiment across formats and channels, track what earns attention and trust, and let the data steer strategy WHAT YOU BRING Must-haves - An active personal X account with 1,000+ followers and a technical audience - Experience creating social content that explains technical concepts - You build your own technical demos - code, notebooks, and video - Strong short-form technical writing - threads, posts, blogs - 2-7 years in technical content, developer marketing, or DevRel in AI/ML Nice-to-haves - CS, ML, or other technical degree (or equivalent self-taught depth) - Experience at an AI model or infrastructure company KEY SUCCESS DRIVERS - X-native: you're already in the AI conversation and know what earns respect from researchers and engineers - Technically credible: you can read a paper, build a demo, and explain it without losing the substance - Ownership: you ship without waiting for a brief and take on the unglamorous work - Experimental: you test formats, read the data, and double down on what works - Focused: you prioritize ruthlessly when everything looks important - Collaborative and candid: you work closely with founders and researchers and give honest feedback with respect - At home in a fast, flat, in-person startup WHY JOIN? - Real material: research with measurable, dramatic results - you'll never have to fake the story - Greenfield ownership of the whole function, working directly with the co-founder - Built-in credibility: backed by Felicis, Amplify, Radical, Microsoft, Amazon, Hinton, LeCun, and Dean - Early equity at an inflection point, when brand and community compound most - $160K-$230K base + significant equity - 100% covered medical, dental, and vision; 401(k) with 4% match; unlimited PTO - $2K wellness and $1K learning stipends; daily lunches; relocation assistance; open to visa transfers INTERVIEWING PROCESS 1. First chat with the Hiring Manager (30 min) 2. Head of Marketing interview (45 min) 3. Take-home content exercise (1 hr) 4. Founder conversation (30 min) 5. On-site team meet (1 hr) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.