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Location: San Francisco, CA 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 The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing 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: $500,000 — $850,000 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: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Our Global Structure Wolt is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash, Deliveroo and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The Doordash International Executive Recruiting Team is a newly formed team with the mission of identifying and hiring exceptional leadership talent to support the growth of our international businesses (including Wolt and Deliveroo). We’re hiring an Executive Recruiting Researcher who will play a key role in supporting complex leadership searches across multiple functions and markets. In this role, you will own the research and engagement strategy for senior talent across DoorDash International, partnering closely with recruiters and hiring leaders to build strong, diverse leadership pipelines. This role will report to the Director of Executive Recruiting. What You'll Do Help define, design, and implement leadership recruiting programs and search engagements for a variety of executive roles, including talent landscape mapping, internal calibration and referrals, and aligning those insights with the external talent market. Focus on external talent market mapping, market and talent insights, as well as senior talent cultivation and bench-building for future leadership needs. Partner closely with Executive Recruiters to launch search engagements, create robust role and candidate specifications, and qualify and present leadership candidates. Deliver qualified and diverse pipelines for active searches, while actively networking and building strong relationships with exceptional candidates. Evaluate the effectiveness of sourcing efforts through data analysis and reporting, including search progress updates, status reports, and market trends for presentation to senior leadership. Proactively recommend and drive process improvements that enhance candidate identification, engagement, and overall search effectiveness. Support an exceptional candidate experience at every stage of the executive hiring process. Leverage AI tools to work smarter and drive market mapping, company research and candidate profiling, while keeping the quality and accuracy of insights high. What We're Looking For Proven experience leading executive-level searches and building senior talent pipelines across diverse company environments (e.g., executive search firm and/or in-house experience within a fast-paced organisation). Deep expertise in market mapping, talent research, and senior-level candidate identification. Skilled at using AI tools, such as ChatGPT, Claude or AI-enabled sourcing platforms to identify senior talent. Ability to combine AI-enabled research with data and market insight to produce sharper, faster talent intelligence for executive searches. Experience leveraging talent market insights and data to influence decision-making with senior leaders and cross-functional partners. Demonstrated ability to build strong working relationships with leaders and stakeholders across the organization. Self-motivated, intellectually curious, and highly driven to deliver impact. Hands-on experience using AI tools to speed up sourcing, market research and candidate outreach, with sound judgement on where human review is needed. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Our Global Structure Wolt is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash, Deliveroo and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The Doordash International Executive Recruiting Team is a newly formed team with the mission of identifying and hiring exceptional leadership talent to support the growth of our international businesses (including Wolt and Deliveroo). We’re hiring an Executive Recruiting Researcher who will play a key role in supporting complex leadership searches across multiple functions and markets. In this role, you will own the research and engagement strategy for senior talent across DoorDash International, partnering closely with recruiters and hiring leaders to build strong, diverse leadership pipelines. This role will report to the Director of Executive Recruiting. What You'll Do Help define, design, and implement leadership recruiting programs and search engagements for a variety of executive roles, including talent landscape mapping, internal calibration and referrals, and aligning those insights with the external talent market. Focus on external talent market mapping, market and talent insights, as well as senior talent cultivation and bench-building for future leadership needs. Partner closely with Executive Recruiters to launch search engagements, create robust role and candidate specifications, and qualify and present leadership candidates. Deliver qualified and diverse pipelines for active searches, while actively networking and building strong relationships with exceptional candidates. Evaluate the effectiveness of sourcing efforts through data analysis and reporting, including search progress updates, status reports, and market trends for presentation to senior leadership. Proactively recommend and drive process improvements that enhance candidate identification, engagement, and overall search effectiveness. Support an exceptional candidate experience at every stage of the executive hiring process. Leverage AI tools to work smarter and drive market mapping, company research and candidate profiling, while keeping the quality and accuracy of insights high. What We're Looking For Proven experience leading executive-level searches and building senior talent pipelines across diverse company environments (e.g., executive search firm and/or in-house experience within a fast-paced organisation). Deep expertise in market mapping, talent research, and senior-level candidate identification. Skilled at using AI tools, such as ChatGPT, Claude or AI-enabled sourcing platforms to identify senior talent. Ability to combine AI-enabled research with data and market insight to produce sharper, faster talent intelligence for executive searches. Experience leveraging talent market insights and data to influence decision-making with senior leaders and cross-functional partners. Demonstrated ability to build strong working relationships with leaders and stakeholders across the organization. Self-motivated, intellectually curious, and highly driven to deliver impact. Hands-on experience using AI tools to speed up sourcing, market research and candidate outreach, with sound judgement on where human review is needed. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The Doordash International Executive Recruiting Team is a newly formed team with the mission of identifying and hiring exceptional leadership talent to support the growth of our international businesses (including Wolt and Deliveroo). We’re hiring an Executive Recruiting Researcher who will play a key role in supporting complex leadership searches across multiple functions and markets. In this role, you will own the research and engagement strategy for senior talent across DoorDash International, partnering closely with recruiters and hiring leaders to build strong, diverse leadership pipelines. This role will report to the Director of Executive Recruiting. What You'll Do Help define, design, and implement leadership recruiting programs and search engagements for a variety of executive roles, including talent landscape mapping, internal calibration and referrals, and aligning those insights with the external talent market. Focus on external talent market mapping, market and talent insights, as well as senior talent cultivation and bench-building for future leadership needs. Partner closely with Executive Recruiters to launch search engagements, create robust role and candidate specifications, and qualify and present leadership candidates. Deliver qualified and diverse pipelines for active searches, while actively networking and building strong relationships with exceptional candidates. Evaluate the effectiveness of sourcing efforts through data analysis and reporting, including search progress updates, status reports, and market trends for presentation to senior leadership. Proactively recommend and drive process improvements that enhance candidate identification, engagement, and overall search effectiveness. Support an exceptional candidate experience at every stage of the executive hiring process. Leverage AI tools to work smarter and drive market mapping, company research and candidate profiling, while keeping the quality and accuracy of insights high. What We're Looking For Proven experience leading executive-level searches and building senior talent pipelines across diverse company environments (e.g., executive search firm and/or in-house experience within a fast-paced organisation). Deep expertise in market mapping, talent research, and senior-level candidate identification. Skilled at using AI tools, such as ChatGPT, Claude or AI-enabled sourcing platforms to identify senior talent. Ability to combine AI-enabled research with data and market insight to produce sharper, faster talent intelligence for executive searches. Experience leveraging talent market insights and data to influence decision-making with senior leaders and cross-functional partners. Demonstrated ability to build strong working relationships with leaders and stakeholders across the organization. Self-motivated, intellectually curious, and highly driven to deliver impact. Hands-on experience using AI tools to speed up sourcing, market research and candidate outreach, with sound judgement on where human review is needed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: United States Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Filevine is developing new AI-powered tools for the legal industry. As part of this effort, we need people with real legal research training to review and validate data that our machine learning systems extract from published legal materials. We are looking for part-time legal research interns from accredited law schools. This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious about how AI is being applied to legal practice. Position: Part-Time Legal Research Intern Location: Remote Hours: 10–20 hours per week (flexible around class schedules) Eligibility: 2L and 3L students at accredited law schools What You'll Do Read and analyze published judicial opinions across state and federal jurisdictions. Review outputs generated by AI systems and verify their accuracy against the source legal materials. Apply your legal research training to identify errors, ambiguities, or edge cases in automated outputs. Collaborate with legal researchers and ML engineers to improve data quality over time. Qualifications Currently enrolled as a 2L or 3L. Completion of at least the 1L curriculum, including legal research and writing. Enjoy reading and analyzing judicial opinions, statutes, and other legal authorities. Strong attention to detail and familiarity with legal writing. Interest in legal technology or AI. Why This Internship Gain hands-on experience working at the intersection of AI and law (which, in our view, is a meaningful differentiator in a changing legal market!) Apply your legal training to real-world problems that will shape how attorneys work with technology. Work alongside experienced legal researchers and ML engineers on a cross-functional, international team. Flexible, part-time schedule designed to work around law school commitments. Compensation Information: $20.00/hr Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

- Build simulation frameworks to stress test onchain strategies under adverse conditions: depegs, oracle failures, liquidity crunches, cascading liquidations. - Model concentration risk, counterparty exposure, and correlation dynamics across the portfolio.

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-11611 Real Estate Investment Research & Administrative Virtual Assistant Independent Contractor – CPT-11611 Real Estate Investment Research & Administrative Virtual Assistant/Business Support VA/Entry- Senior 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 Northern Virginia real estate investor specializing in fix-and-flip opportunities is seeking a Business Support VA to handle property research, data collection, direct-mail preparation, spreadsheet management, and recurring administrative work. The client already has established templates and research processes. Direct real estate or construction experience is not required; the priority is finding someone who is strong at research, data organization, follow-through, and technology. 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: Property & Lead Research Research probate properties and other potential acquisition opportunities Identify properties that may fit wholesale, fix-and-flip, or fix-and-rent strategies Search PropStream, Stack, and similar platforms for property and ownership information Gather owner names, addresses, property details, and relevant public information Validate information across multiple sources when needed Flag properties that meet the client’s established acquisition criteria Data & List Management Input and maintain property and owner data in Excel or Google Sheets Clean and organize scraped or exported lead lists Remove duplicates and incomplete records Track research status and completed work Maintain consistent data formatting Prepare clean outreach lists for direct-mail or email campaigns Outreach & Administrative Support Prepare and send approved letters through OpenLetter Connect Use established letter and email templates Maintain mailing records and outreach history Track completed outreach and future follow-up dates Assist with recurring administrative and executive-assistant tasks Handle occasional calls when required (possible future task) Research & AI Support Use AI tools to improve productivity and research efficiency Conduct additional online property or ownership research Assist with data scraping from approved sources Follow documented research processes and templates Escalate unclear property or ownership information rather than guessing 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: Executive assistant, administrative, research, or data-management experience required Strong Excel / Google Sheets skills required Online research and data-scraping experience strongly preferred AI tool familiarity preferred PropStream or similar property-data platform experience is a plus Direct-mail platform experience is a plus Real estate or construction experience is a plus, but not required Strong phone communication required for occasional calls (possible future task) IDEAL CANDIDATE PROFILE Strong researcher with excellent attention to detail Comfortable working extensively in spreadsheets Reliable with repetitive, process-driven work Strong written and spoken English Technically comfortable and familiar with AI tools Able to work independently from templates and SOPs Comfortable learning real-estate-investment terminology after hire SOFTWARE Microsoft Excel / Google Sheets PropStream, Stack, or Similar Property Research Platforms OpenLetter Connect AI Productivity Tools Work Schedule Contracted Hours per Week: 10 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time:  3 PM - 5 PM EST 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 Level Contracted Hours per Week: 10 hours/week Daily Working Time:  3 PM - 5 PM EST 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-B (Native or near-native English accent 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. As the Director, Clinical Research Operations, you will lead the clinical operations function responsible for executing the studies that support WHOOP’s regulated and unregulated health features, with a particular focus on Software as a Medical Device (SaMD). You will own operational strategy and study execution across the product lifecycle, from early concept and feasibility through validation, regulatory submission, launch, and post-market evidence generation. This role requires deep expertise in clinical trial operations, decentralized clinical trials, vendor oversight, and operational execution within regulated healthcare environments. As both a strategic leader and hands-on expert, you will oversee studies conducted through CROs as well as internally executed studies, ensuring high-quality, efficient, and compliant execution across WHOOP’s clinical portfolio. You will build and mentor a high-performing Clinical Operations organization. You will strengthen WHOOP’s clinical operations capabilities and ensure our study execution strategy meets the expectations of regulators, investigators, participants, and the business.   QUALIFICATIONS: - Own the clinical operations strategy across WHOOP’s portfolio of regulated and unregulated health features, including feasibility, validation, regulatory submission, launch, and post-market evidence generation. - Develop and execute fit-for-purpose operational models for both internally executed studies and CRO-managed validation studies, ensuring efficient evidence generation across the product lifecycle. - Partner with Clinical Science and cross-functional leadership to develop study execution strategies, resource plans, vendor models, and operational timelines that balance speed, quality, cost, and regulatory requirements. - Lead study startup, planning, execution, monitoring, and closeout activities, ensuring timelines, budgets, enrollment targets, quality objectives, and regulatory requirements are achieved. - Oversee participant recruitment, enrollment, retention, study logistics, and data collection activities across both internally executed and externally managed studies. - Lead operational oversight of CROs, technology vendors, recruitment partners, and other external service providers, establishing scalable governance frameworks, performance metrics, and escalation pathways to ensure high-quality delivery and accountability. - Build and oversee capabilities for internally executed studies, including decentralized clinical trials (DCTs), feasibility studies, algorithm development studies, and product research initiatives. - Oversee Clinical Data Management and clinical trial technologies, ensuring high-quality, timely, and compliant data collection, management, and delivery across systems including EDC, CTMS, eConsent, ePRO, eTMF, and remote study platforms. - Oversee study startup and regulatory operations activities, including feasibility assessments, investigator and site selection, IRB and Ethics Committee submissions, global ethics approvals, essential document management, study activation, and Trial Master File inspection readiness. - Ensure studies are conducted in accordance with GCP, FDA regulations, ISO 14155, company procedures, and quality requirements, while supporting audits, inspections, and regulatory submissions. - Build and lead a high-performing Clinical Operations organization, including hiring, mentoring, workforce planning, and establishing scalable processes, standards, and operating models. - Communicate study progress, operational risks, resource needs, vendor performance, and portfolio status to executive leadership and key stakeholders. RESPONSIBILITIES: - Bachelor’s degree required; advanced degree (MS, MPH, MBA, RN, PharmD, PhD, or equivalent) preferred. - 10+ years of experience in clinical operations, clinical research, medical devices, digital health, diagnostics, pharmaceuticals, or another regulated healthcare environment. - 5+ years of experience leading multidisciplinary clinical operations teams, including Clinical Trial Management, Clinical Monitoring, Clinical Data Management, Study Startup, and Clinical Operations functions. - Demonstrated experience overseeing CRO-managed clinical studies and external vendor partnerships. - Experience leading internally executed clinical research programs, including decentralized clinical trials, participant-facing operations, site management, direct-to-participant research, or hybrid study models. - Deep expertise in clinical trial execution, study startup, participant recruitment, monitoring, enrollment, clinical data management, trial master file oversight, and study closeout activities. - Experience managing clinical study budgets, vendor contracts, resource forecasting, and portfolio planning. - Strong understanding of GCP, FDA regulations, ISO 14155, IRB/Ethics Committee processes, and medical device clinical research requirements. - Excellent written and verbal communication skills, with the ability to translate complex operational, clinical, and regulatory concepts for diverse audiences. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $210,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: San Francisco San Francisco (onsite) · 20 hrs/week · $25-50/hour We’re running a research study in our SF office and need someone to manage the day to day operations behind it. It is one of the best opportunities to get hands-on experience at frontier of physical AI/robotics. You will work directly with our research ends and cofounders and own a core part of this project. what you will do: - Source and schedule 1000s of unique data collectors - Keep track of diversity distribution and manage data quality - Write and enforce the SOPs that keep sessions consistent - Set up capture environments and track which scenes are done Who you are: - In school or graduated, either works (pref. Sophomore - recent grad) - Preferably someone good with people, extremely creative (non-technical is fine) - Available for 1–6 months. We’re flexible on the exact length.

Location: Limassol, Cyprus Workplace: hybrid We are looking for an expert who will develop and automate decision-making algorithms in the area of incentives. Your core focus will be to design and deploy adaptive data-driven mechanisms that determine which goal to set for which user, and what reward to offer, in order to maximize the incremental effect for every dollar invested. Key Responsibilities Intervention Algorithm Automation: Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance. Incremental Impact Maximization (Uplift Modeling): Create and advance causal inference and uplift models (e.g., meta-learners) to evaluate the true incremental value of rewards and target personalized offers. Behavioral Modeling & Business Impact: Research and model the non-linear responses of marketplace participants to changing conditions (prices, incentive terms), translating these insights into algorithmic strategies that drive user retention and lifetime value (LTV). End-to-End Development (Research-to-Production): Translate research models into production-grade code, developing modular frameworks and monitoring systems to ensure algorithms operate reliably in real time. Cross-Functional Leadership: Act as a strategic partner to product managers and engineers, driving the product roadmap through data-driven storytelling and aligning complex algorithmic solutions with overarching business goals. Skills, Knowledge and Expertise Professional experience in Data Analytics, Data Science, Applied Research, or algorithmic product optimization, preferably within a dynamic, incentive-driven environment. Strong analytical mindset with expertise in Machine Learning, behavioral modeling, and causal inference. Solid foundation in mathematics and economics, including knowledge of elasticity models, incentive response dynamics, and retention analytics. Advanced SQL and Python proficiency, with experience working with large datasets and the ability to translate research models into production-grade decision logic. Advanced Experimentation : Experience with A/B testing frameworks, switchback experiments, and evaluating causal effects in networked systems with feedback loops. Strong communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and influence product decision-making. Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Worldwide About the role We are looking for a Junior Analyst to join our Integrated Risk Management team and focus on market and macro research. Integrated Risk Management (IRM) is Plata’s second line of defense: we own the company’s risk profile end to end (credit, liquidity, FX and strategic risk) and give management independent advice on how to grow without losing control of it. Part of that is seeing what happens in the market before it reaches our portfolio. You will follow how Mexico’s economy and consumer-lending market are moving, and study how banks and fintechs in Mexico and other markets make money: their business models, unit economics, growth and credit quality. Your work will feed the monthly risk review for senior management and our capital, liquidity and business-plan scenarios. Previous work experience is optional. We welcome economics graduates who understand how economies, companies and banks work, are curious, and can turn research into clear conclusions. Challenges that await you: Prepare the monthly market overview and the quarterly competitor benchmark for senior management: growth, asset quality and profitability of banks and fintechs, based on regulatory data (e.g., CNBV) and company reports Track Mexico’s macroeconomy and household debt (Banxico rates, inflation, FX, employment, consumer credit) and help turn it into inputs for our capital, liquidity and business-plan scenarios Run deep dives on banks and fintechs in Mexico, Colombia and other markets at the request of senior management: business model, unit economics, revenue sources, risk profile Estimate market sizes and assess how attractive a market or segment is Collect, clean and reconcile financial statements and regulatory data: catch restatements, series breaks and stale figures, and explain what changed and why Turn findings into concise slides and memos in English What makes you a great fit: Education in economics or finance (macroeconomics, corporate finance, banking or a related field) from a strong university Solid understanding of how economies, companies, and banks operate: what drives revenue, costs, and risk Ability to read financial statements and work with key metrics such as growth, margins, cost of risk, NPL ratio, and ROE Confident Excel skills Structured thinking and clear, literate writing: you can build a storyline and a clean slide B2 or higher English level: most of our materials are in English Independence and self-organization: the team works remotely, so you plan your own work, deliver on time, and ask for help early Attention to detail: you check sources, dates, and numbers before drawing conclusions Your bonus skills: Internships or experience in macro, equity or industry research (e.g. a bank’s research department) or a similar analytical role Reading knowledge of Spanish: many sources are in Spanish SQL or Python, or hands-on use of AI assistants (e.g., Claude, ChatGPT) for research and analysis Up to 2 years of analytical experience Our ways of working : Innovative Spirit: a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to Georgia with assistance for the employee and their family Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5 Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

-Проектировать целевую архитектуру системы (модули и компоненты).

Задачи: — Просмотр и анализ большого объема рекламного видеоконтента из разных источников. — Разбор и выделение работающих идей для адаптации под рекламу мобильных приложений и рекламных офферов. — Анализ трендов в соцсетях, выявление успешных форматов и адаптация их под задачи компании. — Работа с аналитическими инструментами для отслеживания конкурентов и поиска идей для рекламных кампаний. — Разработка сценариев для рекламных роликов, привлекающих внимание с первых секунд. — Генерация нестандартных идей для продвижения приложений. Требования: — Готовность к рутинной работе, ресерч идей может занимать весь рабочий день. — Внимательность к деталям, умение структурировать и анализировать информацию. — Любовь к соцсетям, умение следить за трендами и понимать, какие ролики цепляют внимание. — Способность смотреть на идеи не только интуитивно, но и через анализ подходов. — Умение замечать крутые идеи там, где другие видят просто контент. Условия: — Оплачиваемая стажировка (1 месяц) с обучением и практическими заданиями. — Интересные проекты с масштабными возможностями. — Обучение, поддержка и наставничество от команды профессионалов. — Полностью удаленный формат работы. — Фиксированная ставка на руки - 800 EUR. — Оплачиваемые отпуск (20 рабочих дней) и больничные.

Location: Москва Мы команда исследователей и инженеров, разрабатывающих технологии post-training (SFT, RL) и контролируемой генерации для моделей генерации изображений, видео и омни-модальных. Мы сфокусированы на повышение качества, управляемости и устойчивости генеративных моделей с помощью методов RLHF / RLAIF и инструктивного редактирования. Помимо фундаментальных исследований, мы создаём прикладные решения для B2B-партнёров от системы генерации интерьера до системы генерации персонализированных аватаров. Обязанности * проектирование и обучение высокопроизводительных диффузионных моделей (R2V, R2I, R2V+A) для редактирования и генерации видео / изображений * разработка новых подходов и архитектурных решений для post-training фазы диффузионных моделей: RLHF (PPO, DPO и др.), RLAIF, SFT * разработка, масштабирование и поддержание RL пайплайнов * руководство экспериментами: постановка гипотез, разработка протоколов, анализ результатов * проведение code review, менторинг младших исследователей и инженеров, участие в планировании исследовательской дорожной карты * взаимодействие с командами Pretraining, Data, Infrastructure, Production для масштаб пайплайнов и повышения стабильности моделей в продакшене * поддержание и внедрение SOTA-подходов: мониторинг литературы (arxiv, NeurIPS, ICML, CVPR, ICLR), инициирование внутренних исследований. Требования * бакалавриат/магистратура по направлению компьютерных наук/прикладной математике/ машинному обучению или близких к ним * 3+ лет релевантного опыта исследований и разработки в области глубокого обучения/компьютерного зрения/генеративного ИИ * глубокие знания в Computer Vision и Generative Modeling: Diffusion Models, GANs, VAEs, Flow/Rectified Flow Matching * опыт работы с современными диффузионными фреймворками (Diffusers) и моделями FLUX, Wan 2.X и др.) * уверенное владение PyTorch и навыки распределённого обучения (DDP/FSDP) * понимание и практическое применение RL и RLHF ( PPO/DPO и др.) * умение проектировать архитектуры, планировать эксперименты и интерпретировать результаты. Будет плюсом: * наличие PhD * опыт публикаций или активное участие в исследованиях уровня NeurIPS / ICLR/ CVPR. Условия * конкурентный уровень заработной платы, годовые премии по результатам работы * участие в развитии и создании OpenSource продуктов * корпоративная пенсионная программа, страхование от несчастных случаев, социальные гарантии, ДМС * комфортный офис Sbergile Home (метро Кутузовская).

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai