Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
seniorUnited States; For applicants from the European Union, please review
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Figma Research team is hiring an experienced researcher for our Rapid Research program. We're product builders who bring research expertise to the team, working closely with designers, product managers, and engineers to clarify problems, test ideas, and recommend what to change—often in one- to two-week sprints.
You'll rotate across product areas, ramp up quickly, and build relationships as you go, energized by unfamiliar products and ambiguous problems and ready to take initiative rather than wait for a fully scoped brief. You bring strong opinions about what makes a great experience, grounded in the needs of the people using it, spot connections across product areas, and combine deep qualitative and quantitative research expertise with a flexible, resourceful approach to moving quickly without sacrificing rigor. Beyond individual studies, you bring a clear point of view on what to build or change, tailor your communication to your audience, and are willing to challenge assumptions and say the hard thing with care—asking for help when you need it and offering it when others do.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Scope and run focused research in quick sprints, using sound methods to answer the questions most likely to change a product decision
Turn findings into specific recommendations a designer or PM can act on, working through tradeoffs and helping the team put them into practice
Present product recommendations to cross-functional teams and senior leadership, telling the story behind the data, not just reporting insights
Rotate across product areas and teams as needed, building credibility and relationships quickly without being embedded long-term
Contribute beyond research studies by using our products, joining design reviews, and helping teams recognize when they have enough information to act
Bring clarity to ambiguous problems, challenge assumptions, and adjust the scope or approach as you learn
Experiment with tools, templates, and workflows to make research faster and sharper
We'd love to hear from you if you have:
7+ years of experience in research at high-growth product organizations, UX/design agencies, or strategic consultancies focused on digital experiences
Proficiency in mixed methods research, including qualitative approaches such as interviews and quantitative approaches such as surveys and data analysis
Strong product judgment, with examples of specific recommendations you made and how they shaped the product, backed by strong communication and storytelling skills with a track record of securing executive buy-in
Experience ramping up quickly on new projects and delivering clear recommendations in one- to two-week research sprints, turning ambiguous problems into clear questions and a practical path forward
A scrappy, flexible approach, adapting to changing priorities and tight timelines while maintaining sound research methods, including active use of AI tools to improve speed, quality, or scale
While it's not required, it's an added plus if you also have:
Proficiency in designing and prototyping, ideally within the Figma suite of tools
Familiarity with researching design tools, developer tools, creative software, or other products people use to build things
A background in product design, product management, or engineering
Ability to combine product analytics with qualitative research to inform recommendations
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$250,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: London
Workplace: Hybrid
About Niantic Spatial
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.
We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention.
What You'll Do
- Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on.
- Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning.
- Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems.
- Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction.
- Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data.
- Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production.
- Publish Your Work - Publish and present your work.
What You'll Bring
- A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues.
- Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning.
- Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations.
- You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture.
- You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs.
- Proficiency in Python and Deep Learning libraries such as PyTorch.
- GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering.
- A track record of contributing to widely used open-source research codebases.
Nice to Have
- Proficiency in C++.
Compensation & Benefits
Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
Location & Work Model
This role is based in our London office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Точка Банк — финтех-компания, которая создаёт продукты для предпринимателей и предприятий.
Вакансия Research Engineer с удалённой работой или возможностью работать в любом офисе компании в городах присутствия.
Зарплата до 600 000 рублей в месяц.
Подробное описание вакансии доступно по ссылке: https://hr.tochka.com/vacancies/catalog/research_engineer/?utm_source=linkedin&utm_medium=social&utm_campaign=free_channels.
Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs, including Anoma and Namada projects.
Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding.
Responsibilities:
— Design new cryptographic protocols (e.g. shielded state sync) to meet specified information flow, security, and performance goals.
— Evaluate and analyze existing cryptographic protocols and proof systems (e.g. zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM) for security, expressivity, and performance.
— Update, reimplement, and combine cryptographic protocols, customizing them for proofs-of-concept and production use-cases.
— Produce comprehensive technical specifications for cryptographic designs and collaborate with engineers on implementations.
— Implement, review, and test cryptographic operations and protocols, primarily in Rust, and evaluate implementations for correctness and performance.
Requirements:
— Mathematical and/or cryptographic background in relevant subfields (complexity theory, abstract algebra, cryptographic protocol design).
— Expertise (formal or informal) in constructive protocol design and analysis of distributed cryptographic protocols.
Nice to have:
— Published papers in mathematics, theoretical CS, and/or cryptography.
— Experience with distributed systems and/or operating systems architecture/design.
— Experience with Zerocash/Zexe/VeriZexe and related architectures.
— Academic qualifications in a relevant field (cryptography or mathematics).
Stack includes Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption.
Benefits:
— Relocation and visa assistance for Germany.
— High degree of independence in working conditions and task prioritization.
— Work closely with a small cross-disciplinary team on research-led projects.
— Opportunity for travel, including initial onboarding in Berlin.
УдалённоRESEARCH CRYPTOGRAPHER & MATHEMATICIAN | RELOCATION TO GERMANY | HELIAX #relocation #fulltime #itjob #cryptographer #math #research https://teletype.in/@remoteit/DHuuYVxUxeB; RELOCATION TO GERMANY / BERLIN | HELIAX Research Cryptographer & Mathematician Employment type: Full-time/Company: Heliax Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs; Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding; Stack: Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption Benefits: - Relocation and visa assistance for Germany
Location: Remote or Mississauga
Workplace: remote
Job Title: Senior UX Researcher – 6 month contract
Location: Canada – Remote / Mississauga, ON – Hybrid
Term: 6 month contract
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
About the Team
The UX Research team partners directly with Product and UX Design from early opportunity discovery and ideation through delivery. This role supports the Integrated Care portfolio, including products serving acute and payer markets and healthcare and financial workflows such as Prior Authorization and Concurrent Review. The team keeps product and design decisions moving with timely, actionable customer insights.
Position Summary:
The Senior UX Researcher drives strategic and tactical product decisions by planning and conducting research, usability studies, and mixed-method discovery. Working directly with Product and UX Design, this role identifies the right participants, recommends fit-for-purpose methodologies, recruits and conducts studies, synthesizes qualitative and quantitative findings, and translates insights into strategy and design recommendations. The Senior UX Researcher also provides project leadership and communicates research decisions and outcomes to leadership and stakeholders.
Key Responsibilities:
Partner with Product and UX Design at the beginning of projects, opportunities, and ideation to formulate discovery plans, identify the right customers and stakeholders to engage, and recommend appropriate research methodologies.
Lead end-to-end research activities, including participant recruitment, discussion guide development, study facilitation, analysis, synthesis, and sharing findings. Methods may include surveys, in-depth interviews, remote feedback, usability testing, and prototype-based research when appropriate.
Conduct user outreach, use-case discovery, persona and journey mapping, validation, and usability studies using unbiased and standardized research practices.
Translate customer feedback and research data into actionable insights and strategy and design recommendations for Product, UX Design, Engineering, and other stakeholders.
Lead or participate in workshops, communicate strategic research decisions to leadership, and provide project leadership to researchers and designers on assigned initiatives.
Collaborate with internal subject matter experts, Customer Success, Data Science, and Customer Insights to strengthen understanding of personas, journeys, and use cases and encourage adoption of research best practices.
Required Skills & Qualifications:
5+ years of experience as a UX researcher or in a similar customer-focused research role.
Bachelor’s degree in psychology, statistics, human-computer interaction, information systems, or a related field.
Demonstrated ability to create research strategy and discovery plans, develop discussion guides, select methodologies, conduct interviews and studies, and quickly analyze and synthesize findings.
Strong qualitative and quantitative research skills, with the ability to translate real user feedback into insights that drive user-centered decisions for broad audiences.
Experience with research and survey tools such as Dovetail, User Interviews, Salesforce, SurveyMonkey, Qualtrics, and analytics or product-experience platforms such as Pendo.
Strong written and verbal communication skills, including the ability to explain strategic decisions, present findings, persuade, negotiate, and articulate alternative approaches.
Ability to travel to customer sites on a limited basis, approximately four times per year.
Experience using AI tools such as Claude and Microsoft Copilot to enable day-to-day research work.
Preferred Experience:
Experience researching healthcare, medical, regulated, payer, acute-care, or financial applications.
Experience collaborating in Figma and Miro; this role contributes to prototype-based research but is not expected to create prototypes.
Demonstrated ability to collaborate across Product, UX Design, Engineering, Customer Success, Data Science, Customer Insights, and internal subject matter experts to advance user-centered outcomes.
The Canadian hourly pay range for this position is $60.00 - $66.68 CAD per hour. Our pay ranges are determined by job and level. The range displayed reflects the target for new-hire pay across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Equal Employment Opportunity:
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
#LI-Remote
Location: Remote, USA
Workplace: remote
Job Title: Senior UX Researcher – 6 month contract
Location: USA – Remote
Contract Term: 6 month contract
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that require travel to and from the Mississauga and/or Salt Lake City office. These may include onboarding, team events, and semi-annual or annual team meetings.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
About the Team
The UX Research team partners directly with Product and UX Design from early opportunity discovery and ideation through delivery. This role supports the Integrated Care portfolio, including products serving acute and payer markets and healthcare and financial workflows such as Prior Authorization and Concurrent Review. The team keeps product and design decisions moving with timely, actionable customer insights.
Position Summary:
The Senior UX Researcher drives strategic and tactical product decisions by planning and conducting research, usability studies, and mixed-method discovery. Working directly with Product and UX Design, this role identifies the right participants, recommends fit-for-purpose methodologies, recruits and conducts studies, synthesizes qualitative and quantitative findings, and translates insights into strategy and design recommendations. The Senior UX Researcher also provides project leadership and communicates research decisions and outcomes to leadership and stakeholders.
Key Responsibilities:
Partner with Product and UX Design at the beginning of projects, opportunities, and ideation to formulate discovery plans, identify the right customers and stakeholders to engage, and recommend appropriate research methodologies.
Lead end-to-end research activities, including participant recruitment, discussion guide development, study facilitation, analysis, synthesis, and sharing findings. Methods may include surveys, in-depth interviews, remote feedback, usability testing, and prototype-based research when appropriate.
Conduct user outreach, use-case discovery, persona and journey mapping, validation, and usability studies using unbiased and standardized research practices.
Translate customer feedback and research data into actionable insights and strategy and design recommendations for Product, UX Design, Engineering, and other stakeholders.
Lead or participate in workshops, communicate strategic research decisions to leadership, and provide project leadership to researchers and designers on assigned initiatives.
Collaborate with internal subject matter experts, Customer Success, Data Science, and Customer Insights to strengthen understanding of personas, journeys, and use cases and encourage adoption of research best practices.
Required Skills & Qualifications:
5+ years of experience as a UX researcher or in a similar customer-focused research role.
Bachelor’s degree in psychology, statistics, human-computer interaction, information systems, or a related field.
Demonstrated ability to create research strategy and discovery plans, develop discussion guides, select methodologies, conduct interviews and studies, and quickly analyze and synthesize findings.
Strong qualitative and quantitative research skills, with the ability to translate real user feedback into insights that drive user-centered decisions for broad audiences.
Experience with research and survey tools such as Dovetail, User Interviews, Salesforce, SurveyMonkey, Qualtrics, and analytics or product-experience platforms such as Pendo.
Strong written and verbal communication skills, including the ability to explain strategic decisions, present findings, persuade, negotiate, and articulate alternative approaches.
Ability to travel to customer sites on a limited basis, approximately four times per year.
Experience using AI tools such as Claude and Microsoft Copilot to enable day-to-day research work.
Preferred Experience:
Experience researching healthcare, medical, regulated, payer, acute-care, or financial applications.
Experience collaborating in Figma and Miro; this role contributes to prototype-based research but is not expected to create prototypes.
Demonstrated ability to collaborate across Product, UX Design, Engineering, Customer Success, Data Science, Customer Insights, and internal subject matter experts to advance user-centered outcomes.
The US hourly pay range for this position is $66.73 - $74.13 USD per hour. Our pay ranges are determined by job and level. The range displayed reflects the target for new-hire pay across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Equal Employment Opportunity:
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
#LI-Remote
AI Research Lab 42 разрабатывает автономного AI Scientist — систему, способную самостоятельно формулировать гипотезы, проводить эксперименты и находить решения.
Первый фокус лаборатории — финансовые рынки: AI-система работает как автономный трейдер, а полученный капитал финансирует дальнейшие исследования. Параллельно лаборатория ведёт исследования в области биологии человека, нейротехнологий и фундаментальной физики.
В trading research открыто 3 позиции:
TradFi Research Lead
Задача — построить и возглавить research-направление в traditional markets: разрабатывать MFT-стратегии, строить портфели и risk/execution models, выводить стратегии в production.
Требования: 5+ лет в systematic quant research, подтверждённый track record прибыльных MFT-стратегий, опыт с equities / futures / options / FX, опыт лидерства обязателен.
AI Researcher — Autonomous Research
Задача — перейти от ручного quant research к автономной agent-driven системе, которая сама генерирует гипотезы, тестирует и оптимизирует стратегии.
Требования: MFT/HFT researcher с сильным пониманием market microstructure, статистики и Python/ML, способный формализовать research-процесс для автоматизации.
Quantitative Researcher — Crypto MFT
Задача — полный цикл разработки medium-frequency crypto strategies: от поиска alpha и backtesting до production и мониторинга live performance.
Требования: 2+ лет в systematic trading, опыт запуска стратегий в live, глубокое понимание crypto market structure (spot, perps, funding), сильные Python, statistics и ML/DL.
Условия:
— Работа удалённо по B2B контракту
— Через полгода релокация в Амстердам по high skilled migrant visa
— Оформление в голландскую компанию с 30% налоговым рулингом
Удалённоsenior📍 Amsterdam, помогаем с релокацией; По всем позициям начинаем работать удаленно по B2B контракту, через полгода релокация в Амстердам по high skilled migrant visa и оформление в голландскую компанию с 30%ным налоговым рулингом
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE USER RESEARCHER ROLE ⭐️
At Alan, research is not a checkpoint. It's a compass. Our User Research team sits at the intersection of product, design, and engineering, making sure every decision is grounded in what our members actually need, feel, and experience.
As a User Researcher at Alan, you will gather and prioritize the most important questions from across the company, and design the right research to answer them. That means running interviews, diary studies, surveys, and usability sessions throughout the full product cycle, not just at the end. You'll then turn those findings into insights that are clear, compelling, and genuinely useful to the teams who need them.
You'll work hand in hand with Product Managers, Designers, and Engineers, and collaborate closely with our analytics and data science teams to tell a complete story about our product. You'll also help grow research culture across Alan, sharing your craft and mentoring teammates along the way.
At Alan, great research drives great product. If you love figuring out what people truly need and translating that into decisions that matter, this role is for you.
⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️
You may be a great fit at Alan if you have:
- 4+ years of experience as a product/user researcher in a tech environment, with strong hands-on expertise in qualitative methods: interviews, diary studies, think-aloud usability testing, and direct observation
- Solid quantitative research skills: you're comfortable with survey design, sampling, crosstabs, and core statistical concepts
- Sharp critical thinking: you quickly identify what research is worth doing, scope it efficiently, and deliver insights that are focused and actionable
- A strategic mindset: you know how to partner with product stakeholders, communicate the value of research, and tie your findings to concrete business impact
- Compelling communication skills: you turn complex findings into clear narratives that resonate with any audience
- Experience mentoring junior researchers or non-researchers, with the ability to give clear, actionable feedback that helps others grow
- You're close to AI. Either you've built AI products, or you follow the space closely and have a clear view on where to leverage and how LLM systems behave in production.
- You care about healthcare. Alan's mission has to genuinely matter to you. For us this is essential, not a nice-to-have.
- English fluency, written and spoken
- (As a plus) Fluency in French, Spanish, or another European language
For this role, we hire within the D-E level range.
🌍 HOW WE WORK
- Based in (or within commuting distance of) one of our hubs (Paris, Bordeaux, Marseille, Brussels, Madrid, or Barcelona), with the ability to work onsite twice per week.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
You want to know more about Alan?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.
Location: Singapore
Workplace: Hybrid
About Cantina
Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
About the Internship
Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026.
This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference.
Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant.
What You’ll Work On
Depending on your project, you may:
- Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation
- Explore techniques that reduce inference cost while preserving or improving generation quality
- Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence
- Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
- Design rigorous evaluations and conduct large-scale experiments on generative video models
- Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
- Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions
You may be a good fit if you
- Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field
- Have research experience in generative modeling, computer vision, multimodal learning, or video generation
- Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques
- Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly
- Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework
- Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team
Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly.
What You Can Expect
- A defined project and named senior mentor before your first day
- Weekly one-on-one meetings and clear project milestones
- A meaningful compute allocation for your research
- The opportunity to own a complete research or engineering result
- First-author positioning by default where your contribution supports a publication
- Timely internal review of research intended for submission
- Support for conference travel if your paper is accepted
- Opportunities to demonstrate your work and receive credit for product contributions
- A competitive monthly stipend
- Visa and travel support for eligible international candidates
- Housing support for qualifying international interns in Singapore
- Equipment and resources needed to complete your work
Internship Details
- Location: Singapore
- Duration: Three months
- Working model: Onsite
- Start dates: First batch starts in October 2026, second batch starts in January 2027
Location: London
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint - we’ve got huge goals.
As an
Algorithm
Researcher
at Via, you’ll join our R&D center in London, as part of the Core R&D group, which is responsible for developing and maintaining Via’s proprietary algorithms and the services that run them in production. The role sits at the intersection of algorithm development, data science, and software engineering. You’ll work on complex algorithmic problems, explore and evaluate different approaches, and turn your solutions into reliable production systems that support Via’s transportation networks around the world. If you enjoy combining analytical thinking, algorithms, data, and hands-on development, this position might be just for you!
What You'll Do:
Design, develop, and improve Via’s core algorithms and business logic, solving complex real-world problems.
Explore and evaluate algorithmic approaches using data, experimentation, and analytical methods.
Develop and maintain mission-critical services that bring algorithmic solutions into production.
Work with large datasets to analyze system behavior and improve the performance of our algorithms.
Take ownership of complex technical problems, from initial research and exploration through to production.
Work in close collaboration with algorithm developers, researchers, data scientists, and software engineers.
Who You Are:
M.Sc. or Ph.D. in Computer Science / Mathematics / Statistics / Operations Research / similar quantitative field.
3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic focus.
Strong knowledge of algorithms, data structures, and analytical problem-solving.
Strong Python skills and experience developing production-quality code.
Experience working with data and applying data science, optimization, or analytical techniques to solve complex problems.
Experience taking algorithms, models, or prototypes and turning them into production systems.
Experience with DevOps and cloud infrastructure (Kubernetes, etc.) — strong advantage.
Experience in architecture and maintaining cloud systems — strong advantage.
Curious and analytical: you enjoy exploring different approaches and understanding the data behind your solutions.
Pragmatic: you can break complex problems into smaller problems and find simple, effective solutions.
Hands-on: you enjoy taking ideas from research or experimentation all the way into production.
Compensation and Benefits:
Becoming part of a company that was awarded for its commitment to social good:
We are one of 17 Ventures That Embody the U.N.’s 17 Sustainable Development Goals
Inc. Magazine’s “Best in Business” Awardee in the software category for Companies That Put Purpose Before Profit
Competitive compensation including equity
A spacious office near Chancery Lane, where you can enjoy weekly team lunches
Comprehensive health scheme offered through AXA
Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents
Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: London & San Francisco
Workplace: onsite
THE OPPORTUNITY
Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers.
We are currently building Watcher, a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly.
You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety.
KEY RESPONSIBILITIES
TLDR:
you will design & implement control protocols (see e.g.
[Greenblatt et al, 2023]
) and test them on real-world production systems at scale.
Research & Development
Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors
Build and maintain evaluation frameworks to measure progress on monitoring capabilities
Build and maintain high-quality datasets to train and test monitors on
Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency
Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration
Stay current with research on AI safety, agent failures, and detection methodologies
Stay current with research into coding security and safety vulnerabilities
Fine-tuning & Monitor Development
Fine-tune open-source models to create efficient monitors for high-volume production environments
Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes
Incorporate adversarial findings from red-teaming campaigns into monitor design and evaluation, closing the loop between attack and defense
JOB REQUIREMENTS
Must-haves
2+ years of experience conducting empirical research with large language models or AI systems
Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents
Experience with LLM-as-a-judge setups or AI monitoring more broadly
Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL
Strong Python programming skills
Demonstrated ability to work independently on open-ended research problems
Good-to-haves
Familiarity with AI safety concepts, particularly agent-related risks
Familiarity with computer security, e.g. security testing and secure system design
Experience fine-tuning language models or working with smaller open-source models
Previous work building developer tools or monitoring systems
Publications or contributions to AI safety or ML research
Experience with production log systems or production log analysis
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.
REPRESENTATIVE PROJECTS
Hierarchical monitoring for coding agent security
: Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors.
Design a backtesting strategy for Watcher:
Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions.
Fine-tune an open-source model to be a great monitor:
Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Salary:
San Francisco
: $204,000 – $385,000;
London
: £136,000 – £258,000. We will be looking to meaningfully raise salaries soon.
Flexible work hours and schedule
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)
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.
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 THE TEAM
The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
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 science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. 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.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
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 neither required nor encouraged. Please also feel free to share links to relevant work samples.
About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic.
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. 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.
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 research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. 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 your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. 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 experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Depending on your area of chemistry, you will:
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties
Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams
Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), 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 experience in your area of chemistry beyond the PhD
For medicinal chemists, a track record of advancing programs from hit identification through lead optimization
Experience directing chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in chemistry or 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 | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.
This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company.
Responsibilities
Research design & scientific inquiry
Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire
Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods
Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations.
Navigate research ethics considerations when studying candidate data, ensuring responsible research practices
Selection & assessment research
Design and execute validation studies to assess the quality of interviews and other selection tools
Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency
Lead investigative research into innovative approaches for candidate assessment
Metrics design and governance
Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces
Analytical solution building
Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning
Quantify the adoption and downstream impact of deployed tools, driving iterative improvements
Visualization & communication
Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
Present research findings to senior leadership with clear, actionable recommendations
Minimum Qualifications:
Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics
Are comfortable working in the People Analytics tech stack and collaborating with data engineers
Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning
Have experience with data visualization and can tell compelling stories with research findings
Possess excellent communication skills and can influence stakeholders at all levels
Thrive in ambiguity and can balance rigor with pragmatism
Have a track record of challenging assumptions with data and changing long-held practices
Can navigate sensitive topics diplomatically while maintaining analytical rigor
Demonstrate intellectual humility and comfort with iterative discovery
Use data to improve how organizations find, assess, and hire talent
Preferred Qualifications:
5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
Background in recruiting analytics specifically (not just general analytics)
Experience running interview or assessment validation studies
Experience building self-service analytics tools or dashboards
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with network analysis, machine learning, or advanced statistical methods
Experience with BigQuery and modern data stack tools
Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools
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:
$285,000
—
$380,000 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
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
Harvey is building the future of AI for legal professionals, and understanding our users is core to how we do that. We are looking for a seasoned strategic User Researcher to to join our research function. You are a senior individual contributor who drives high-impact research across multiple teams or a major product area. You move beyond single studies to shape problem definition, influence roadmaps, and elevate research quality through strong craft and partnership. You are comfortable with AI technologies and excited to build research and insight tooling to accelerate our workflows.
Success looks like teams meaningfully change direction based on your insights and influencing roadmap, research quality improves in the teams you support, and you are trusted as a strategic partner and moves at speed, where Harvey builds shared conviction around user truths.
This role directly reports to the Head of User Research and focuses on accelerating the quality and speed at which Harvey ships user-centered AI products. You have the opportunity to co-create tooling or identify the right capabilities to strengthen our research practice. You'll partner closely with research and design leadership, cross-functional stakeholders that keep research and insights running at peak efficiency.
It's a rare opportunity to shape how a category-defining AI company shapes its products from the ground up.
WHAT YOU'LL DO
Lead Complex Research Programs
- Own research strategy for a product area or cross-team initiative
- Design and execute end-to-end qualitative, quantitative, and mixed-methods research
- Identify patterns across studies and connect insights to product decisions
- Research how legal professionals work with Harvey and outside of the platform. Translate that into product and design recommendations.
Shape Product Thinking
- Partner closely with Product Managers and Designers to frame the right problems
- Influence roadmaps by surfacing unmet user needs, risks, and opportunities
- Push teams beyond validation toward deeper discovery
- Develop strong legal domain expertise and excited to become an expert in both the Harvey product and the legal industry
Raise the Bar on Craft
- Produce clear, compelling synthesis and storytelling
- Identify where AI reduces friction in research process and comfortable building custom scripts, integrations, or AI agents where off-the-shelf tools fall short
- Model strong research rigor, ethics, and judgment
- Ability to prototype and ship research insight tooling improvements yourself before pulling in Eng support
Operate as a Trusted Partner
- Bring rigor to ambiguous, fast-moving problem spaces where the underlying technology (and user expectations of it) shift quickly
- Influence without authority across teams
- Help partners develop stronger research instincts
WHAT YOU HAVE
- 5+ years of user research experience of digital products in fast-paced, high-growth or technically complex environments
- Bachelor’s degree in Psychology, Human-Computer Interaction, Human Factors, Cognitive Science, or a related field required. Advanced degree preferred
- Track record or portfolio of portfolio-level impact. Experience conducting and defining user research methodologies, integrating qualitative and quantitative insights into design and product strategy.
- Demonstrated ability to navigate and simplify multifaceted, ambiguous problem spaces while maintaining a high bar for execution.
- Exceptional storytelling and communication skills—capable of influencing cross-functional partners and aligning diverse perspectives.
- Experience building or customizing internal tooling (Zapier workflows, Claude skills, Notion workflows, and custom GPTs or research agents) to support insight acceleration.
- Strong design and product judgment and business acumen. Ability to engage deeply in design critiques and dedicated product area roadmap reviews to contribute insights into planning.
- A collaborative, low-ego approach that helps teams move quickly, thoughtfully, and inclusively
- Experience researching AI-powered technology products, and understand how to assess experiences and quality of conversational products.
COMPENSATION
$158,500 - $264,500
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-MV1
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
San Francisco, CA • New York, NY • United States
ГибридLondon
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