Вакансии

Own and lead UX research activities across discovery, concept validation, and usability phases. Plan, conduct, and synthesise user interviews, usability testing, stakeholder interviews, and journey mapping.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: India; Australia; Japan; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. As a UX Researcher at Phantom, you will help us understand how people manage their money, discover opportunities, and trade with confidence. You will combine direct user understanding with behavioral data to build shared evidence that informs strategy, priorities, and execution across Product, Design, Engineering, Data Science, Marketing, Support, and leadership. The role sits within Design and partners across functions to prioritize important questions, communicate what findings mean for their work, and follow through on how insights are used. RESPONSIBILITIES - Partner with cross-functional teams to prioritize the questions that matter most, matching each study’s scope, method, and depth to the decision, available resources, and risk. - Lead discovery and evaluation across the product lifecycle: uncover unmet needs, test early concepts, and assess how shipped experiences work in people’s real contexts. - Partner with Data Science to connect user understanding with funnel and cohort analysis, experiments, and outcome measurement. - Translate research into clear insights and recommendations that inform cross-functional strategy, priorities, and product decisions. Use concise narratives, visual evidence, and working sessions to help teams and leadership understand implications, raise risks, and follow through from findings to action. - Bring Product, Design, and Engineering into the research process, and coach partners to run appropriate lightweight studies with a high quality bar. - Make research easy to engage with through clear paths for researcher-led work, coached self-service, and specialist support, backed by a well-maintained participant panel, reusable evidence, and practical tools. - Build a repeatable listening loop with Support, Marketing, and Data Science, combining direct research and targeted feedback to track changing needs across priority journeys and cohorts, while caring for participants and their information. QUALIFICATIONS - Significant experience leading product research end to end, with a portfolio showing your ownership and how your work changed product or business decisions. - Strong qualitative research craft and judgment about which methods fit which questions, including interviews, observation, concept testing, usability studies, and surveys. Balance speed and evidence quality according to the decision’s importance. - Sound analytical judgment, including the ability to partner with Data Science, interpret behavioral data, and explain sampling and evidence limitations. - Experience building or improving a research practice in an environment where you needed to prioritize, work independently, and help others learn. - Clear, direct, and kind communication, strong synthesis, and demonstrated ability to translate research into insights that inform decisions across functions. Explain implications for different audiences, challenge assumptions, surface risks, and build alignment through evidence. - Proactive ownership and sound judgment: make deliberate tradeoffs, deliver with urgency and quality, and move work forward when information is incomplete. - Curiosity about financial products and the ability to make complex or unfamiliar experiences understandable. Nice to have - Experience researching consumer fintech, investing, trading, payments, or crypto. - Experience recruiting across diverse markets or studying trust, risk, onboarding, and repeat use. - Familiarity with product analytics, SQL, or AI-assisted research workflows, supported by strong human judgment. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Задачи: — Планирование и проведение UX-исследований, включая глубинные интервью, опросы и юзабилити-тестирования; — Самостоятельная организация исследований: поиск респондентов, подготовка сценариев и проведение интервью; — Анализ результатов, выявление инсайтов, проблем и потребностей различных сегментов пользователей; — Документирование результатов и презентация выводов командам; — Оценка влияния продуктовых изменений на пользовательский опыт; — Изучение конкурентов, рыночных трендов и лучших UX/CX-практик. Требования: — Опыт проведения UX-исследований, особенно глубинных интервью; — Понимание качественных и количественных методов исследования; — Сильные аналитические и коммуникационные навыки; — Умение выявлять реальные проблемы пользователей и отличать факты от гипотез; — Английский язык на уровне, достаточном для проведения интервью; — Опыт работы с международными рынками; — Знание Figma; — Базовое понимание SQL будет преимуществом (аналитика в ClickHouse). Условия: — Полностью удалённая работа; — Работа в сильной продуктовой команде с быстрым циклом принятия решений; — Ориентация на результат; — Возможность экспериментов и реальное влияние на продукт.

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Galaxy Summer Internship Program The Galaxy NYC Summer Internship Program is an immersive, nine-week experience taking place on-site in our New York HQ office. During the nine weeks, you will gain hands-on, practical work experience on our Research team, working on real products and problems alongside the people building them. In addition to learning on the job, Galaxy interns participate in professional development programming, social events, and networking opportunities with senior leaders. Program Dates : June 7th – August 6th, 2027 What You'll Do: Assist business units with Research work product Learn how to and produce reports about cryptocurrency networks and markets Support the growth of Galaxy’s distribution platforms (newsletter, podcasts, Research Portal) Gain exposure to crypto technologies, markets, investment vehicles Support Galaxy Research’s efforts in Washington as policy advisors What We're Looking For: Excellent verbal and written communication skills Exceptional analytical, organizational, and creative skills Deep interest in and existing knowledge of cryptocurrency networks and markets Skills in any of the following: data analysis, financial analysis and modeling, markets and trading, software engineering, computer science, cryptography, network analysis, cybersecurity research Eligibility Requirements: Undergraduate or master’s students graduating between December 2027 and June 2028 Eligible master’s students must have fewer than two years of relevant, full-time work experience Students enrolled in PhD or JD programs are not eligible to apply Here are some of the industry-leading benefits of interning at Galaxy: Opportunities to learn about the Digital Asset and Data Center industry Free daily snacks and weekly lunches Smart, entrepreneurial and fun colleagues Employee Resource Groups *Benefits may vary based on location. Interns are classified as non-exempt employees and will be paid a rate of $55/hr. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

The Quantum Research Scientist will advance quantum information science and optical quantum systems, leveraging expertise in continuous-variable photonics and theoretical algorithm discovery to translate complex physical phenomena into experimental prototypes and publishable research. Responsibilities include but are not limited to:

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT RAMP LABS Ramp Labs is Ramp's AI research group. We post-train models on finance work, build the environments and evals they learn from, and ship them into the products 70,000+ companies use to move money. We think the defensible part of an AI product is the loop: proprietary environments, evals that track what customers care about, and models trained against both. ABOUT THE ROLE Every model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop. You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving. WHAT YOU’LL DO - Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment - Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on - Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks - Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship - Publish external benchmarks and write-ups on how models perform at real finance work WHAT YOU NEED - Hands-on experience building LLM benchmarks or evals that people used to make real decisions - Strong Python and software engineering; your eval code is reproducible and fast - Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise - Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it - Comfort with SQL and large datasets; you'll work directly from production traces - Taste for what is worth measuring NICE-TO-HAVE - Industry experience on an eval, benchmarking or post-training team - Built RL environments or verifiers for agentic tasks - Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL) - Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar) - Familiarity with accounting, finance or other expert-domain work - Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Москва Департамент автономных решений объединяет направления робототехники и аэрологистики Сбера. Команда развивает проекты в области Physical AI, автономного вождения и других AI-решений, повышая масштаб, надёжность и эффективность автономных технологий. Мы ищем руководителя, который выстроит системную работу с академическим сообществом и исследовательскими программами: от формирования потребностей внутренних команд до запуска совместных проектов с вузами и научными центрами. Обязанности * формирование и управление портфелем исследовательских и академических программ * развитие стратегических партнёрств с вузами и научно-исследовательскими центрами * формирование карты исследовательских потребностей в робототехнике, беспилотных технологиях и Physical AI * координация исследовательских инициатив: от выявления потребности до запуска сотрудничества * сопоставление академических предложений с задачами и приоритетами внутренних команд * выстраивание единой системы взаимодействия с академическими партнёрами и исследовательскими командами. Требования * опыт управления исследовательскими, научно-технологическими или академическими программами * практический опыт развития партнёрств с вузами, научными центрами или R&D-организациями * опыт формирования исследовательской повестки и структурирования научно-технологических потребностей * опыт управления комплексными проектами и координации межфункциональных команд * опыт сопровождения проектов от формирования концепции до запуска и реализации * способность самостоятельно выстраивать процессы и отвечать за результат направления. Будет преимуществом: * опыт в робототехнике, беспилотных системах, Physical AI/AI * опыт управления портфелем исследовательских инициатив * опыт реализации совместных научно-технологических проектов с вузами. Условия * работа из офиса по адресу г Москва, пр-кт Кутузовский, 32 к3  * 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: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Isomorphic Labs is looking for a Senior Research Investigator to develop computational models and methods for biologics discovery and therapeutic design.

Isomorphic Labs is looking for a Senior Research Investigator to lead pharmacology strategy and advance biologics candidates through drug discovery.

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 Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in antibody process development and manufacturing to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in making antibodies, with hands-on experience expressing, purifying, characterizing, and formulating them, from small screening batches to material for IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll build and run the workflows that turn AI-designed sequences into well-characterized protein, and pressure-test AI predictions of expression, stability, and manufacturability against real data. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Develop and run expression and purification processes for antibodies and other recombinant proteins end to end, including transient and stable expression in mammalian cells (HEK293, CHO), affinity capture (Protein A, IMAC), polishing chromatography, buffer exchange, and formulation Characterize what we make with the right analytical panel, for example SEC, CE-SDS, icIEF, LC-MS (intact mass, peptide mapping, glycans), DLS, thermal stability, endotoxin, and binding kinetics (SPR, BLI) Build the laboratory for this work, including selecting, installing, and qualifying equipment and setting up workflows that scale from plate-based production of hundreds of designs to gram quantities of a lead Evaluate AI-designed antibodies for manufacturability (titer, aggregation, stability under stress, viscosity, chemical liabilities), drive them to experimental readout, and feed results back to research teams Plan the chemistry, manufacturing, and controls (CMC) path toward IND-enabling studies, from cell line development and scale-up to analytical methods and stability, and coordinate technology transfer and manufacturing with external contract manufacturers Ensure experimental data across programs is high quality and well documented, including batch records, methods, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemical engineering, chemical engineering, biochemistry, or a related field Demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins, including material supplied for IND-enabling or clinical studies, with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of biologics process development experience beyond the PhD Depth in both upstream (cell line development, bioreactors) and downstream (chromatography, filtration) development, with working knowledge of analytical and formulation development Experience setting up a protein production or process development laboratory, including laboratory automation and high-throughput, plate-based expression and purification Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations, with contributions to the CMC sections of an IND Statistics or coding skills, for example design of experiments or Python for data analysis and automation Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 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 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 Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in therapeutic antibodies to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in antibody design and engineering who has taken antibodies through the whole process, from target selection and lead optimization to candidate selection and IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive antibody programs end to end and pressure-test AI-designed antibodies against the bar a real drug candidate has to clear. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and engineer therapeutic antibodies and oversee programs end to end, including target and epitope selection, choice of format (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, and candidate selection Define the screening cascade for each program, from binding kinetics (SPR, BLI), epitope binning, and species cross-reactivity to cell-based functional assays and developability (expression, aggregation, polyreactivity, stability, viscosity, immunogenicity risk) Plan the path from lead to IND-enabling studies, including in vivo pharmacology, pharmacokinetics, toxicology, and the handoff to process development and manufacturing Coordinate antibody production, characterization, and in vitro and in vivo studies with external contract research organizations and academic partners Evaluate AI-designed antibodies, drive them to experimental readout, and feed results back to research teams Ensure experimental data across programs is high quality and well documented, including sequences, protocols, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field Demonstrated experience in therapeutic antibody discovery and engineering, including at least one antibody you helped take from discovery through candidate selection and IND-enabling studies Working knowledge of what an antibody IND requires across pharmacology, pharmacokinetics, toxicology, and chemistry, manufacturing, and controls (CMC) Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of therapeutic antibody experience beyond the PhD Track record of advancing more than one antibody program into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents Hands-on experience with antibody expression, purification, and biophysical characterization Experience directing antibody production, assays, and in vivo studies at contract research organizations Structural biology, computational protein design, or coding skills, for example Python for sequence and assay data analysis or structure prediction and protein design tools Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 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: London, United Kingdom 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 DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. At DoorDash, there are three audiences that are at the core of every decision we make - our Consumers, Merchants, and Couriers. The Research team has a direct link to uncover the unmet needs and pain points of each of these audiences. We bring their voices into the business in order to help set the strategic vision for all of DoorDash’s current and future products. About the Role We’re looking for a Principal Researcher to be a strategic research leader for EMEA, shaping what DoorDash builds next. You’ll combine deep expertise in qualitative and quantitative methods to find the unmet needs, behavioral shifts, and market openings that point to new products and new growth. You’ll work as a peer to senior product, design, engineering, data science, and business leaders, and your work will directly inform roadmaps, investment decisions, and company-level strategy. This role is built for a seasoned researcher who is equally comfortable in a living room interview, a survey dataset, and a leadership review, and who uses AI as a daily tool to move faster and see further, without giving up the judgment that makes research trustworthy. You’ll also raise the bar for the wider research practice by mentoring researchers, sharing methods, and helping the team define what great looks like in an AI-enabled era. What You’ll Be Doing Shape Product Strategy: Translate deep understanding of Consumers, Merchants, and Couriers into a clear point of view on where DoorDash should play and win. You’ll frame the highest-stakes questions, bring evidence to roadmap and investment debates, and influence decisions at the director and executive level. Detect New Opportunities: Proactively identify emerging needs, behavior changes, and white space that point to new products, new verticals, and new growth levers. You’ll size and validate opportunities with a mix of foundational discovery, market and competitive context, and behavioral data, and turn them into concepts teams can act on. Lead Mixed-Methods Research: Design and run rigorous research end to end, choosing the right method for the question: ethnography, in-depth interviews, diary studies, and usability testing alongside surveys, conjoint and MaxDiff, segmentation, experiment design, and behavioral and log analysis. You’ll triangulate across sources so the “what,” the “how much,” and the “why” tell one coherent story. Partner with Data Science and Experimentation: Work closely with data science and analytics to connect qualitative insight to A/B test design, metrics, and product outcomes, and to explain the “why” behind results. You’ll help teams learn from what worked, what didn’t, and what to test next. Apply AI to the Research Craft: Use AI tools and LLMs in your daily workflow for synthesis, analysis, survey and discussion guide design, and scaling qualitative depth, and design human-in-the-loop checks that catch confident but wrong outputs. You’ll help the team identify where AI accelerates research and where it should not be trusted, and contribute to shared prompts, workflows, and standards. You’ll also study how people experience AI-powered features across DoorDash’s products. Influence and Communicate: Tell compelling, decision-ready stories that move partners from insight to action. You’ll adapt depth and format to the moment, from a fast directional read that unblocks a team this week to a foundational body of work that anchors a multi-year strategy, and you’ll follow through to see that findings change what gets built. Lead Through Others: Serve as a thought partner and mentor to researchers across levels, review and elevate research quality, and help partners run good research on their own where that makes sense. You’ll help set the team’s research agenda, methods, and standards, and contribute to hiring and growing the team. Operate Across Brands and Regions: Bring a global lens to your work, partnering across brands, markets, and cultures and adapting approaches to local context so that insights scale beyond a single market. What We’re Looking For 10+ years of experience in user, market, or product research at a technology company (or equivalent depth), with a track record of leading ambiguous, high-visibility work at staff level or above Demonstrated impact on product strategy: examples where your research changed a roadmap, unlocked a new product or line of business, or redirected significant investment Proven ability to detect and shape new product or growth opportunities, from early signal through validated concept Expert command of both qualitative and quantitative methods, including interviews, ethnography, and usability testing as well as survey design, statistical analysis, and experimentation. Working knowledge of SQL, R, or Python for pulling and analyzing your own data is a plus Hands-on experience using AI and LLMs in research (for example, synthesis, analysis, prototyping, or scaling qualitative work), with sound instincts about where they help and where they mislead. Experience researching AI-powered products is a plus Experience in consumer, two-sided or multi-sided marketplace, logistics, commerce, or local services contexts is a plus Exceptional storytelling and executive presence, with the ability to influence senior stakeholders without authority and build trust across product, design, engineering, data science, and business teams A bias for speed and pragmatism: comfortable delivering directional insight quickly while knowing when a decision calls for deeper rigor Experience mentoring or coaching researchers and raising the quality of a research practice Advanced degree in HCI, Psychology, Sociology, Anthropology, Economics, Statistics, Survey Methodology, or a related field preferred, or equivalent practical experience Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . 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 .