Вакансии в офисе

Мы ищем в команду OSINT-аналитика с опытом работы и знанием английского языка, которому предстоит: Собирать информацию на заданную тему в открытых источниках; Проверять собранную информацию на достоверность и классифицировать ее по определенным критериям;

📋 Задачи: обработка входящих заявок, работа в CRM, сопровождение клиентов до закрытия сделки.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. Sierra’s Applied Research team works to make the models behind our agents better, faster, and cheaper across many kinds of tasks. Our work covers post-training open-weight models for specialized capabilities, new approaches to voice AI, and the benchmarks the field uses to measure agents, including τ-bench. As an Applied Research Intern, you’ll join the team for a research project, working with a mentor, you’ll pick a problem that matters to how AI agents perform in the real world, run rigorous experiments, and potentially write up what you find for a top venue. If you want your research to reach both the research community and production agents used by millions of people, come do it at Sierra. WHAT YOU’LL DO - Own a research project from start to finish, from framing the question and running experiments to writing and submitting a paper. - Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or long-horizon tasks, or by building new ways to measure reliability and consistency. - Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out where and why they fail. - Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve agent behavior, and measure the gains rigorously. - Work with large-scale, proprietary datasets of text and audio interactions to find research questions grounded in real customer problems. - Work with researchers and engineers across Sierra, and where it makes sense, turn your findings into improvements in production. WHAT YOU’LL BRING - Currently pursuing a PhD in computer science, machine learning, or a related field. - A research track record, such as first-author publications or submissions at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP. - Strong experimental skills: you design clean experiments, build careful baselines, and are honest about what the results do and do not show. - Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training stacks). - High agency and a builder’s mindset. You’ll work across the stack to get an experiment running. - Clear, direct communication, both in writing and when presenting research. EVEN BETTER - Research experience with LLM agents, tool use, or multi-turn dialogue. - Experience designing benchmarks or evaluations, especially ones tied to real-world outcomes. - Experience with supervised fine-tuning, reinforcement learning, or long-horizon optimization. - Experience with speech, voice, or multimodal models. - Open-source contributions to ML research code or benchmarks. INTERN QUALIFICATIONS - The internship is open to students currently enrolled in a PhD program. - Duration and start dates are flexible. Interns are embedded with the Applied Research team and work under the guidance of a mentor. - The internship is based in our San Francisco office. We are in person Monday through Thursday. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Задачи: — встреча и консультирование клиентов по услугам компании; — продажа услуг индивидуального хранения без холодных продаж; — оформление договоров аренды индивидуальных боксов; — работа с кассой, с документами. Требования: — ответственность и готовность к обучению; — уверенный пользователь ПК; — нацеленность на результат и коммуникабельность; — порядочность и доброжелательность. Условия: — оформление по ТК РФ с первого дня обучения; — график работы на период обучения 5/2 с 9.00 до 18.00, далее 2/2 будни с 9.00 до 21.00, выходные с 10.00 до 18.00; — заработная плата на период обучения: 46.200 рублей на руки, далее 59.400-86.100 рублей на руки; — возможность дополнительного заработка: каждая дополнительная смена оплачивается в размере 4.000 рублей на руки; — полное обучение и поддержка на всех этапах; — адрес: м. Перово, Шоссе Энтузиастов, Андроновка, Авиамоторная, Новогиреево, Новокосино, МЦД3 Перово, Плющево, МЦД4 Никольское, Салтыковская, улица Электродная, 3Б; Данная вакансия подойдет менеджер по продажам, менеджер по работе с клиентами, администратор, специалист по работе с клиентами в Реутов, Балашиха, Железнодорожный.

Без коммерческого опыта — ок, но за плечами должна быть практика: пет-проекты, CTF, разборы семплов, свои утилиты под Windows. - Знакомство с MASM, LLVM -.NET / C# для assembly loader'ов Писать боевой инструментарий под Windows: loader'ы, payload'ы, пост-эксплуатацию.

• Написание программ и приложений для различных платформ. • Использование C++ для разработки игровых движков, а также для написания кода для самих игр.

Location: Beijing, China Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated License Compliance & Sales Manager to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key responsibilities • Conduct investigations and research related to software piracy and licence misuse. • Analyse data, prepare case reports, and engage with companies to reach commercial resolutions. • Work with legal partners, ensuring strong communication and effective collaboration with external law firms. • Collaborate with internal teams to ensure the delivery of services. • Manage a case pipeline and ensure the successful closure of cases. • Maintain accurate records and case documentation in internal systems. • Minimum of 3 years of relevant experience in license compliance, anti-piracy, or  related fields within the software industry; experience in CAD-CAM is preferred. • At least 3 years of experience in negotiation, sales, business development, or data  analysis. • Bachelor’s degree or equivalent academic background. • Excellent communication skills, with the ability to engage confidently and  effectively with peers and senior leadership. • Proficiency in Microsoft Office 365 (Word, Excel, PowerPoint). • Strong commitment to integrity, confidentiality, and ethical business practices. • Skilled in objection handling and problem-solving in high-stakes or sensitive  situations. • Fluency in English is required. • Demonstrated business ownership mindset, with the ability to monitor revenue  streams and prioritize tasks for maximum impact. • Exceptional attention to detail, with the ability to meticulously track and  document case progress, correspondence, and outcomes. • Strong organizational skills, capable of managing high volumes of data and  documentation across multiple cases and systems. • Proficient in data management, including the use of CRM platforms, Excel  spreadsheets, or case management tools. • Clear and concise written communication skills for documenting key actions,  findings, and recommendations for internal stakeholders. Willingness to travel occasionally for training or key project meetings. Preferred qualifications • Knowledge of Compliance Software: Familiarity with Revenera Compliance  Intelligence or Cylynt Compliance Intelligence. • Problem-solving skills with a proactive approach to challenges.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem.   RESPONSIBILITIES: - Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer. - Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management. - Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Swift 6 Concurrency and background task processing for non-UI iOS features. - Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software. - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills with a focus on cross-functional problem solving. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design, build, and maintain internal tools and integrations that power our business operations. You’ll work cross-functionally with teams across WHOOP to ensure that our systems are scalable, reliable, and efficient, directly impacting how we serve members and scale the business.   RESPONSIBILITIES: - Develop, test, and deploy scalable software solutions that support internal operations, including integrations between business applications and services - Partner with stakeholders across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to gather requirements and translate them into technical solutions - Interface with critical business systems: NetSuite, Salesforce, Stripe, Boomi, and more, ensuring reliability, performance, and security - Contribute to the design and implementation of APIs, data pipelines, and automation to improve business efficiency - Collaborate with other engineers to share knowledge, establish best practices, and improve engineering processes - Work collaboratively in a high growth environment with a product minded approach - Consistently deliver features and code with an iterative approach - Coach and up-level engineers in your team and neighboring teams through direct and indirect mentorship QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience - 2–4 years of professional software development experience - Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript) - Experience in API design, integrations, or middleware in a business systems environment - Experience in relational database design, data modeling, and query optimization - Strong problem-solving skills and ability to translate business needs into technical solutions - Experience developing large scale, production-quality web applications  - Thrives with autonomy, with a positive attitude and ownership mentality - Excellent communication and collaboration skills, with an eagerness to work cross-functionally - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Retail Experience Design Specialist II to help bring the WHOOP brand and product experience to life across physical retail environments. As a member of the Retail team, you will play an active role in the design and development of engaging, functional, and distinctly WHOOP spaces that introduce consumers to our products and create memorable brand experiences. In this role, you will leverage your architectural training, design expertise, and professional experience to translate creative concepts into thoughtful, executable physical environments. You will take ownership of defined design workstreams and collaborate cross-functionally with Retail, Brand, Creative, Operations, and external partners throughout the design process—from early concepts and spatial planning through design development, documentation, production, and installation. The ideal candidate has a professional degree in architecture, strong spatial and visual design skills, and experience applying architectural design principles to retail, experiential, or branded environments. You are a proactive and detail-oriented designer who can independently develop and communicate design solutions, navigate ambiguity, incorporate feedback, and balance creative ambition with technical and operational requirements. You thrive in a fast-paced, collaborative environment and are excited to contribute to the evolution of WHOOP's physical retail experience. RESPONSIBILITIES: ● Design and develop WHOOP retail environments, including stores, shop-in-shops, pop-ups, fixtures, displays, merchandising elements, signage, and other physical brand touchpoints, taking ownership of assigned design deliverables and workstreams. ● Translate WHOOP brand principles and creative concepts into compelling, cohesive spatial experiences that balance aesthetics, functionality, product storytelling, customer journey, and business objectives. ● Independently develop and refine architectural and spatial design concepts through sketches, plans, elevations, 3D models, renderings, material studies, and presentations. ● Lead space planning and layout development for assigned projects, considering customer flow, product interaction, merchandising, accessibility, operational requirements, and site-specific constraints. ● Produce and maintain accurate, detailed design documentation that effectively communicates design intent to internal stakeholders, vendors, fabricators, and other external partners. ● Collaborate with cross-functional teams across Retail, Brand, Creative, and Operations to define project requirements, identify design opportunities, and translate business and customer needs into practical physical design solutions. ● Drive assigned design workstreams through multiple phases of the design process, from concept development and iteration through design development, production, installation, and launch, ensuring quality and consistency throughout. ● Research, evaluate, and recommend materials, finishes, furniture, fixtures, lighting, signage, and other environmental elements that align with WHOOP brand standards, design intent, durability, and budget requirements. ● Contribute to prototype development and design reviews, proactively identifying opportunities for improvement and refining solutions based on feasibility, cost, schedule, fabrication constraints, and customer experience. ● Work directly with vendors, fabricators, and external partners to communicate design requirements, review shop drawings, samples, and prototypes, resolve design-related questions, and ensure final executions align with design intent and WHOOP quality standards. ● Contribute to the development, refinement, and maintenance of retail design standards, guidelines, templates, and documentation that support a consistent and scalable WHOOP experience across locations and formats. ● Identify opportunities to improve design processes, documentation practices, and execution efficiencies, helping the team deliver high-quality retail environments at scale. ● Stay informed on trends and innovations across architecture, retail, experiential design, materials, fabrication, and consumer environments, proactively bringing relevant ideas and inspiration to the team. ● Manage multiple projects and design deliverables simultaneously, independently prioritizing tasks, communicating progress, and maintaining a high level of organization, accuracy, and attention to detail. ● Travel up to 10% domestically and internationally to support site visits, installations, retail openings, vendors, and project partners. QUALIFICATIONS: ● Professional degree in architecture (M.Arch or BArch) required. ● 2–4 years of professional experience in architecture, retail design, experiential design, environmental design, or a related discipline, with demonstrated experience contributing to projects from concept through execution. ● Portfolio demonstrating strong architectural and design thinking, spatial problem-solving, visual communication, technical development, and an ability to translate concepts into compelling, buildable physical environments. ● Strong understanding of architectural design fundamentals, including space planning, scale, proportion, circulation, materials, detailing, and the integration of functional and operational requirements. ● Proficiency with architectural design and 3D modeling tools, including Rhino; visualization tools, including KeyShot and Enscape; and presentation tools, including Figma. Experience with Adobe Creative Suite, including Photoshop. ● Demonstrated ability to independently develop, refine, and communicate design ideas through sketches, plans, elevations, diagrams, 3D models, renderings, and presentations. ● Strong visual sensibility and understanding of how materials, color, lighting, graphics, product, and architecture work together to create a cohesive and elevated physical experience. ● Experience producing design documentation and coordinating with vendors, fabricators, or external partners to translate design concepts into physical executions. ● Ability to balance creative design intent with practical considerations, including constructibility, cost, timelines, material selection, and operational needs. ● Exceptional attention to detail with a demonstrated ability to deliver accurate, thoughtful, and high-quality design work with increasing independence. ● Strong written and verbal communication skills, with the ability to clearly articulate design ideas, rationale, and recommendations to both creative and non-creative audiences. ● Collaborative mindset with experience working across creative, operational, and technical teams, incorporating feedback, and proactively contributing to problem-solving. ● Strong organizational, project management, and time management skills, with the ability to independently manage multiple priorities, meet deadlines, and communicate project status and risks. ● Self-motivated, resourceful, and comfortable navigating ambiguity, taking initiative, and adapting quickly in a fast-paced environment. ● Passion for architecture, retail and experiential design, consumer experiences, and the intersection of physical space, technology, fitness, and wellness. ● Strong commitment to embracing and leveraging AI tools in day-to-day tasks, identifying opportunities to improve design workflows and efficiency while ensuring AI-assisted work meets the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: 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.

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 publicly 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.  Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans. KEY RESPONSIBILITIES If embedded evaluations happen, you will be on one of the following teams: On-site embedded evaluators: This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco. Applied researchers: This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of “Measuring Reward-Seeking via Contrastive Belief Updates” into turnkey code and procedures. This team can work from any of our offices. Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines. KEY REQUIREMENTS We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required. Technical safety research judgment: You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required. Research leadership and delivery: You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing for high-stakes audiences: You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public. Strong understanding of scheming: You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like Is Power-Seeking AI an Existential Risk? and modern research. 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. Professionalism: You can represent Apollo independently in sustained, high-stakes technical collaborations.  Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those. 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. Prior embedded expertise: You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs. 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. 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 prefer on-site embedded evaluators to be permanently located in San Francisco. Applied researchers can work from any of our offices. 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 science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming 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 (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.  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.

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