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Location: Florida, US Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Clinical Research Associate to join a pharmaceutical company ClinChoice is a global full-service CRO with a strong focus on quality, professional development and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client counterparts. Main Job Tasks and Responsibilities: Site management and relationship Serve as the primary sponsor/CRO contact for assigned sites, maintaining regular communication with Principal Investigators, sub-investigators, and study coordinators. Track site performance against follow-up visit schedules, data entry timelines, and query resolution metrics; escalate risks early. Support sites through staff turnover, including retraining of new personnel and updates to the delegation log. Ensure sites maintain adequate resources, equipment calibration (e.g., PSG/HSAT devices, CPAP or study device logs where applicable), and storage of investigational product or devices. Monitoring and oversight Conduct on-site, remote, and risk-based monitoring visits per the Clinical Monitoring Plan, and complete visit reports and follow-up letters within required timelines. Perform source data verification (SDV) and source data review (SDR) of follow-up visit data, including sleep study results (AHI, ODI, oxygen saturation), questionnaires (e.g., Epworth Sleepiness Scale, FOSQ), and device adherence data. Verify ongoing informed consent compliance, including re-consent following protocol or ICF amendments. Review and confirm accurate reporting of adverse events, serious adverse events, and device deficiencies within regulatory timelines. Identify, document, and follow up on protocol deviations, and ensure corrective and preventive actions (CAPAs) are implemented. Oversee investigational product or device accountability, reconciliation, and return or destruction. Subject retention and follow-up Work with sites to minimize missed visits and loss to follow-up, reviewing retention strategies and tracking visit windows. Monitor early terminations and withdrawals, ensuring reasons are documented and follow-up data is collected where the protocol allows. Ensure completion of all long-term and end-of-study follow-up assessments. Data quality and database lock Drive timely resolution of data queries in the EDC system and support data cleaning activities. Collaborate with Data Management on interim and final data reviews, and prepare sites for database lock. Regulatory and documentation Ensure the Investigator Site File (ISF) is complete and reconciled with the Trial Master File (TMF). Track IRB continuing reviews, amendment approvals, safety report submissions, and other required regulatory documents. Prepare sites for sponsor audits and FDA inspections, and support responses to findings. Closeout and post-study support Plan and conduct site closeout visits, including final IP/device reconciliation, document archiving instructions, and IRB closure notification. Support post-study activities such as final reconciliation, close-out reports, and responses to post-lock data or regulatory requests. Contribute to lessons learned and process improvements for the study team. Education and Experience: Required Bachelor's degree in life sciences, nursing, pharmacy, or a related health field (or equivalent experience). 2+ years of independent on-site monitoring experience as a CRA with a sponsor, CRO, or medical device company. Working knowledge of ICH E6 Good Clinical Practice, FDA regulations (21 CFR Parts 11, 50, 54, 56, 312 and/or 812), and HIPAA. Experience monitoring studies through follow-up, database lock, and site closeout. Hands-on experience with EDC, CTMS, and eTMF systems. Valid driver's license and ability to travel to assigned sites. Authorization to work in the United States. Preferred Experience in sleep medicine, respiratory, cardiometabolic, or ENT trials, including OSA studies. Familiarity with polysomnography (PSG), home sleep apnea testing (HSAT), and CPAP or implantable/oral device studies. Medical device trial experience (IDE studies, device accountability, device deficiency reporting). Experience supporting FDA inspections or sponsor audits. Clinical research certification (e.g., ACRP-CP, CCRA, or SOCRA CCRP). The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical devices, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are  the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. Key words :, Clinical Research Associate, CRA, Senior CRA, Field CRA, Home-based CRA, Clinical Research, Clinical Trials, Clinical Monitoring, Clinical Operations, Obstructive Sleep Apnea, OSA, Sleep Apnea, Sleep Medicine, Polysomnography, PSG, Home Sleep Apnea Testing, HSAT, CPAP, Respiratory, Medical Devices, Site Management, Site Monitoring, Monitoring Visits, Interim Monitoring Visits, Close-Out Visits, Source Data Verification, SDV, Risk-Based Monitoring, Patient Retention, Query Resolution, Database Lock, Protocol Deviations, Adverse Event Reporting, Device Accountability, Data Quality, Good Clinical Practice, GCP, ICH-GCP, ICH E6, FDA Regulations, 21 CFR Part 812, IDE, IRB, HIPAA, TMF, eTMF, Investigator Site File, Audit Readiness, FDA Inspection, EDC, CTMS, Medidata Rave, Veeva Vault, ACRP-CP, CCRA, SOCRA CCRP, CRO, Biotech, MedTech, Life Sciences, Pharma, Remote, Home-based, Field-based, Travel, United States, English, Clinical Trials, CRO, Clinical Research Organization, Clinical Research, , Outsourcing, Contract, Temporary, CRO, Contract Research Organisation, Outsourced, Outsourcing, Sponsor-dedicated #LI-RE1 #LI-REMOTE #TEMPORARY #FUL TIME #ClinicalResearchAssociate #CRA #ClinicalResearch #ClinicalTrials #SleepApnea #OSA #SleepMedicine #ClinicalMonitoring #HiringNow #RemoteJobs

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

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. As the Director, Clinical Research Operations, you will lead the clinical operations function responsible for executing the studies that support WHOOP’s regulated and unregulated health features, with a particular focus on Software as a Medical Device (SaMD). You will own operational strategy and study execution across the product lifecycle, from early concept and feasibility through validation, regulatory submission, launch, and post-market evidence generation. This role requires deep expertise in clinical trial operations, decentralized clinical trials, vendor oversight, and operational execution within regulated healthcare environments. As both a strategic leader and hands-on expert, you will oversee studies conducted through CROs as well as internally executed studies, ensuring high-quality, efficient, and compliant execution across WHOOP’s clinical portfolio. You will build and mentor a high-performing Clinical Operations organization. You will strengthen WHOOP’s clinical operations capabilities and ensure our study execution strategy meets the expectations of regulators, investigators, participants, and the business.   QUALIFICATIONS: - Own the clinical operations strategy across WHOOP’s portfolio of regulated and unregulated health features, including feasibility, validation, regulatory submission, launch, and post-market evidence generation. - Develop and execute fit-for-purpose operational models for both internally executed studies and CRO-managed validation studies, ensuring efficient evidence generation across the product lifecycle. - Partner with Clinical Science and cross-functional leadership to develop study execution strategies, resource plans, vendor models, and operational timelines that balance speed, quality, cost, and regulatory requirements. - Lead study startup, planning, execution, monitoring, and closeout activities, ensuring timelines, budgets, enrollment targets, quality objectives, and regulatory requirements are achieved. - Oversee participant recruitment, enrollment, retention, study logistics, and data collection activities across both internally executed and externally managed studies. - Lead operational oversight of CROs, technology vendors, recruitment partners, and other external service providers, establishing scalable governance frameworks, performance metrics, and escalation pathways to ensure high-quality delivery and accountability. - Build and oversee capabilities for internally executed studies, including decentralized clinical trials (DCTs), feasibility studies, algorithm development studies, and product research initiatives. - Oversee Clinical Data Management and clinical trial technologies, ensuring high-quality, timely, and compliant data collection, management, and delivery across systems including EDC, CTMS, eConsent, ePRO, eTMF, and remote study platforms. - Oversee study startup and regulatory operations activities, including feasibility assessments, investigator and site selection, IRB and Ethics Committee submissions, global ethics approvals, essential document management, study activation, and Trial Master File inspection readiness. - Ensure studies are conducted in accordance with GCP, FDA regulations, ISO 14155, company procedures, and quality requirements, while supporting audits, inspections, and regulatory submissions. - Build and lead a high-performing Clinical Operations organization, including hiring, mentoring, workforce planning, and establishing scalable processes, standards, and operating models. - Communicate study progress, operational risks, resource needs, vendor performance, and portfolio status to executive leadership and key stakeholders. RESPONSIBILITIES: - Bachelor’s degree required; advanced degree (MS, MPH, MBA, RN, PharmD, PhD, or equivalent) preferred. - 10+ years of experience in clinical operations, clinical research, medical devices, digital health, diagnostics, pharmaceuticals, or another regulated healthcare environment. - 5+ years of experience leading multidisciplinary clinical operations teams, including Clinical Trial Management, Clinical Monitoring, Clinical Data Management, Study Startup, and Clinical Operations functions. - Demonstrated experience overseeing CRO-managed clinical studies and external vendor partnerships. - Experience leading internally executed clinical research programs, including decentralized clinical trials, participant-facing operations, site management, direct-to-participant research, or hybrid study models. - Deep expertise in clinical trial execution, study startup, participant recruitment, monitoring, enrollment, clinical data management, trial master file oversight, and study closeout activities. - Experience managing clinical study budgets, vendor contracts, resource forecasting, and portfolio planning. - Strong understanding of GCP, FDA regulations, ISO 14155, IRB/Ethics Committee processes, and medical device clinical research requirements. - Excellent written and verbal communication skills, with the ability to translate complex operational, clinical, and regulatory concepts for diverse audiences. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $210,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

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

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

-Проектировать целевую архитектуру системы (модули и компоненты).

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

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

Location: Москва **О команде** Мы занимаемся независимой оценкой качества и модельных рисков Kandinsky – семейства генеративных моделей для создания и редактирования изображений, видео и аудиовизуального контента, а также моделей мира (world models). Наша задача – находить слабые места моделей, проверять выбранные подходы к оценке и готовить рекомендации, которые помогают принимать решения о релизе и возможных сценариях применения моделей. Мы работаем с новыми версиями Kandinsky до их выхода к пользователям. Разрабатываем собственные методологии, бенчмарки и инструменты полного цикла, объединяя автоматические метрики, human evaluation и подходы LLM/VLM-as-a-judge. **О роли** Мы ищем специалиста на стыке исследований и инженерной разработки. В этой работе не всегда существует готовая методология или универсальная метрика. Нужно определить, из чего складывается качество модели, спроектировать проверяемый эксперимент и реализовать воспроизводимый evaluation-пайплайн. Роль охватывает весь цикл оценки: от формулирования критериев и подготовки тестовых данных до анализа результатов и рекомендаций для команды разработки. Важно не только измерить качество модели, но и понять, насколько она подходит для реальных пользовательских и бизнес-сценариев, какие ограничения критичны и что осталось непроверенным. Обязанности **Проектировать оценку с нуля** * декомпозировать качество на измеримые критерии и собирать под них тестовые сценарии, промпты и выборки * проектировать оценку там, где готовой методологии ещё нет. **Разрабатывать evaluation-пайплайны** * реализовывать на Python инструменты для запуска моделей, сбора результатов и расчёта метрик * обеспечивать воспроизводимость экспериментов и развивать внутреннюю библиотеку оценки * готовить инструкции для асессоров и контролировать качество разметки. **Строить VLM-as-a-judge** * разрабатывать судей под конкретные критерии, учитывать их bias и ограничения * понимать, где автоматическая оценка работает, а где без человека нельзя. **Разбираться в ошибках моделей** * понимать ограничения diffusion-моделей и причины типовых артефактов * отличать реальную проблему модели от ошибки методологии или замера. **Формировать заключение по модельному риску** * анализировать качество по отдельным сценариям, типам промптов и срезам, а не только по среднему значению * формулировать условия релиза, ограничения и явно фиксировать то, что осталось непроверенным. Требования **Хорошее понимание устройства генеративных моделей**: * понимание принципов работы Transformers, diffusion- и мультимодальных моделей и основных задач: T2I, Image Editing, T2V, Audio, Video-Audio. * понимание типовых ограничений, ошибок и артефактов моделей * способность разбираться в причинах ошибок и способах их проверки. **Способность проектировать оценку качества моделей**: * декомпозировать качество на измеримые критерии и проектировать тестовые сценарии, промпты и выборки. * выбирать корректный подход к оценке: human evaluation, автоматические метрики, LLM/VLM-as-a-judge, а также подходящие модели для сравнения; * проверять валидность метрик и уметь проектировать оценку для новых задач и модальностей, где ещё нет готовой методологии. **Навыки работы с LLM и VLM:** * prompt engineering, structured output, tool calling и работа с контекстом и ограничениями моделей * построение и валидация LLM/VLM-as-a-judge, включая проверку автоматической оценки относительно человеческой * понимание нестабильности, bias и галлюцинаций моделей * умение подбирать модель под конкретную исследовательскую задачу. **Понимание AI-агентов и агентных систем**: * понимать, чем агент отличается от обычного вызова LLM; * знать основные компоненты агентной системы: роли, инструменты, контекст, память и оркестрация * понимать, когда агентный подход действительно полезен, а когда создаёт лишнюю сложность * уметь оценивать надёжность и ограничения агентных решений. **Умение проводить технический и научный ресерч**: * находить и критически разбирать актуальные статьи, бенчмарки, модели и реализации * сравнивать решения с актуальными подходами и оценивать достоверность результатов * переводить ресерч в конкретные идеи для тестирования и развития внутренних подходов. **Будет плюсом** **Умение работать с агентами и субагентами**: * декомпозировать задачи между агентами, задавая им чёткие роли и зоны ответственности * управлять контекстом и изоляцией субагентов, организовывать проверку результатов * собирать результаты нескольких агентов в единое решение и критически оценивать их выводы * **Навыки вайбкодинга и AI-assisted coding**: * уверенно работать с Codex, Claude Code и другими coding-агентами * проверять и дорабатывать сгенерированный код, использовать агентов для тестирования * понимать архитектуру создаваемого решения **Продуктовое мышление**: * связывать тестирование с реальными пользовательскими сценариями и понимать, какие ошибки критичны для продукта * приоритизировать направления проверки и переводить результаты оценки в рекомендации для разработки * понимать влияние результатов на релиз и дальнейшее развитие модели. Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график - офис / гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера

Ищем кванта, который сам закрывает полный цикл ресерча. Кого ищем 🔍 Senior Quant/ML Researcher, который закрывает полный цикл ресерча сам: от гипотезы и данных до бэктеста, валидации и результата.

Ищем кванта, который сам закрывает полный цикл ресерча. Кого ищем 🔍 Senior Quant/ML Researcher, который закрывает полный цикл ресерча сам: от гипотезы и данных до бэктеста, валидации и результата.

Ищем кванта, который сам закрывает полный цикл ресерча. Кого ищем 🔍 Senior Quant/ML Researcher, который закрывает полный цикл ресерча сам: от гипотезы и данных до бэктеста, валидации и результата.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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.

Location: Boston, MA 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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring a Research Operations Lead to be the operational backbone of our team: the person who makes sure scientists can walk in every morning and get straight to science. You'll take on the operational systems we've started — procurement, inventory, safety, equipment, space — make them better, and scale them as the lab and its needs grow. We're hiring for trajectory as much as for what you've already done: the scope of this role will grow with the size of the team, and we want someone who's excited by that. This role is a rare opportunity to build the operational foundation of Anthropic's biology team and to grow with it. The systems you put in place will shape how a frontier AI company does experimental biology for years to come. If you're energized by high-ownership operational work in the service of ambitious science, we'd love to hear from you. Key responsibilities Own day-to-day operations end to end: ordering and inventory, equipment scheduling and upkeep, consumables, shipping and receiving, and general space organization Build on and extend the operational systems a growing group needs: procurement workflows, inventory and sample tracking, equipment maintenance and calibration schedules, onboarding and training, SOPs Manage facilities and space: coordinate buildouts, moves, and equipment installs; act as the primary interface to building management, contractors, and Anthropic's central Workplace and IT teams Own the operating budget: track spend against plan, run the capital equipment purchasing process, and partner with Finance on forecasting and reporting Manage vendor and supplier relationships: including contract research organizations: source and qualify vendors, negotiate quotes and service contracts, schedule preventive maintenance and field-service visits, and hold suppliers to their commitments Minimum qualifications Have managed the day-to-day operations of a life sciences lab — equipment, inventory, ordering, safety, space, and scheduling Have hands-on procurement and vendor management experience: sourcing suppliers, negotiating quotes and service contracts, and coordinating field-service and maintenance technicians Have tracked and managed an operating budget: purchase orders, invoices, spend-vs-plan, and capital requests Preferred qualifications Are the person everyone in your group already comes to when something is broken, missing, late, or unclear — and you like being that person Enjoy engaging with scientists on the science itself — you want to understand what's happening at the bench well enough to anticipate needs Are results-oriented and practical and pick up slack even when it goes outside your job description Enjoy a role that stretches from the hands-on to the strategic, and are comfortable when priorities shift quickly and feedback is direct Lab operations or lab management experience in a biotech, pharma, diagnostics, or life-sciences startup environment, including exposure to how those organizations build new functions and processes end to end A degree in the life sciences and prior research experience at the bench People-management experience: hiring, onboarding, and supervising operations or facilities staff Experience supporting a team through significant growth in headcount, footprint, or capability, including utilities, permitting, and equipment Familiarity with liquid-handling platforms, including their service, calibration, and consumable needs Experience selecting and administering inventory management, sample tracking, equipment scheduling, or ELN systems Capital equipment lifecycle management experience — evaluation, purchase, qualification (IQ/OQ/PQ), service contracts, and decommissioning Experience with regulated shipping and receiving of biological materials, including import/export, permits, and material transfer agreements Experience using AI tools for efficient team and process management (e.g., Claude Cowork) 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: $210,000 — $260,000 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: Thessaloniki, Greece CENSUS is an internationally acclaimed Cybersecurity services provider. We support the needs of multiple industries, providing IT and OT security assessment services to public and private organizations around the world, including international financial institutions and Fortune 500 companies. Powered by cutting-edge research, scientific analysis, and real-world engineering, we deliver unparalleled security assessment services for software, devices, infrastructure, and organizations. Learn more about CENSUS at census-labs.com. About the Role CENSUS is looking for a iOS Vulnerability Researcher to join our security research team, focused on vulnerability discovery and exploitation across the iOS userland attack surface. You’ll spend your time reverse engineering proprietary Apple software, identifying security boundaries and interesting attack surfaces, developing fuzzers and instrumentation, and turning promising primitives into reliable vulnerability research. This is a hands-on research role for someone who enjoys working close to the metal, understands Apple's ecosystem and is comfortable operating without complete documentation. Responsibilities Reverse engineer iOS binaries and system frameworks on ARM64/ARM64e. Identify and investigate previously unknown vulnerabilities in iOS userland components. Analyze system daemons, XPC services, framework APIs, parsers, and other undocumented components of the iOS/macOS system. Develop targeted fuzzers and harnesses. Develop reliable proof-of-concepts and undocumented techniques in controlled research environments. Research the practical impact of modern mitigations including PAC, MTE/MIE, sandboxing, hardened runtime protections, and related platform defenses. Develop custom tooling for binary analysis, instrumentation, tracing, fuzzing, and vulnerability research. Collaborate with other researchers on projects. Technical Requirements Hands-on vulnerability research, reverse engineering, exploitation research, or closely related security research experience. Strong understanding of C/C++ fundamentals, memory corruption, and common vulnerability classes. Solid ARM64/ARM64e assembly and calling-convention knowledge. Practical experience with reverse engineering using tools such as IDA Pro, Ghidra, Hopper, or Binary Ninja. Experience debugging with lldb. Experience performing crash analysis without a fully capable debugging environment. Experience with Frida, DTrace, custom instrumentation, or comparable dynamic-analysis tooling. Ability to write research tooling in Python and at least one systems language such as C, C++, Objective-C, Swift. Understanding of Objective-C & Swift runtime behavior and iOS process architecture. Familiarity with fuzzing methodologies and experience building or adapting fuzzing harnesses. Ability to reason about the exploitability of a vulnerability rather than stopping at crash discovery. Being able to adapt to scenarios where the complete technical picture is not present. Preferred Experience Previous iOS or macOS vulnerability research. Public vulnerability disclosures, CVEs, security advisories, conference talks, or substantial private research experience. Familiarity with arm64e Apple specific internals Familiarity with modern iOS exploitation mitigations. Familiarity with jailbreak-era or modern iOS research tooling is useful, but not required. Experience adapting research techniques between iOS releases and dealing with undocumented platform changes. Experience with reversing Objective-C binaries. Experience with iOS/macOS IPC mechanisms, such as mach messages, MIG, and XPC What We Offer Please note that some of the benefits listed below are applicable only to full-time employees in locations where CENSUS has a legal entity. The chance to be part fast-growing, global cybersecurity company A collaborative, purpose-driven team with a strong learning mindset Competitive salary and benefits, such as but not limited to: Birthday Paid Day off Coffee, lunch and office snacks free of charge Private Medical and Life Insurance covering employees & family members Funded certifications & postgraduate programs Recognition programs including a welcome gift, a new year celebration gift, referral bonus and long service vouchers Exposure to international teams, leaders, and challenges Opportunities for professional growth, development, innovation, and more! Apply today to start the conversation with the People & Culture Team. CENSUS is an equal opportunity employer. The Company does not discriminate on the basis of race, color, creed, pregnancy, religion, gender, national origin, age, disability, marital, or any other legally protected status. The Company also makes reasonable accommodations for disabled employees. Finally, the Company prohibits the harassment of any individual based on their protected status. This policy applies to all areas of personnel actions including recruitment, hiring, training, promotion, compensation, benefits, transfer, and social and recreational programs. LI | Remote

Location: Thessaloniki, Greece CENSUS is an internationally acclaimed Cybersecurity services provider. We support the needs of multiple industries, providing IT and OT security assessment services to public and private organizations around the world, including international financial institutions and Fortune 500 companies. Powered by cutting-edge research, scientific analysis, and real-world engineering, we deliver unparalleled security assessment services for software, devices, infrastructure, and organizations. Learn more about CENSUS at census-labs.com. About the Role CENSUS is looking for an Android Vulnerability Researcher specializing in the discovery, documentation and exploitation of software vulnerabilities, utilizing code auditing, reverse engineering and security testing methodologies. Projects will target the Android ecosystem, usually userland and kernel, but bootloaders, hypervisors and TEEs are also possible. This is a hands-on, low-level research role that will require the development of exploit code and advanced chaining and post-exploitation techniques, beyond a simple proof-of-concept. Requirements Strong problem solving, analytical and presentation skills. Strong understanding of computer architecture concepts and assembly language with a focus on AArch64 and x86_64. Code auditing skills for C, C++, Java/JNI. Python, Rust and Kotlin are considered a plus. Reverse engineering skills for the above architectures. Experience with Android debugging and its idiosyncrasies, preferably both userland and kernel. Ability to design and develop fuzzing techniques. Be confident with the Android ecosystem; building and modifying AOSP, updating and rooting devices, developing tools and applications for proof-of-concept etc. Fluent in English. Good communication skills. Responsibilities Work as part of a team. Ability to work independently with minimal supervision. Understand interactions between Android components, map the attack surface and come up with novel attack scenarios and vulnerabilities. Understand existing exploit chains, test, port and maintain their components. Document findings and convey the information to the rest of the team. What We Offer Please note that some of the benefits listed below are applicable only to full-time employees in locations where CENSUS has a legal entity. The chance to be part fast-growing, global cybersecurity company A collaborative, purpose-driven team with a strong learning mindset Competitive salary and benefits, such as but not limited to: Birthday Paid Day off Coffee, lunch and office snacks free of charge Private Medical and Life Insurance covering employees & family members Funded certifications & postgraduate programs Recognition programs including a welcome gift, a new year celebration gift, referral bonus and long service vouchers Exposure to international teams, leaders, and challenges Opportunities for professional growth, development, innovation, and more! Apply today to start the conversation with the People & Culture Team. CENSUS is an equal opportunity employer. The Company does not discriminate on the basis of race, color, creed, pregnancy, religion, gender, national origin, age, disability, marital, or any other legally protected status. The Company also makes reasonable accommodations for disabled employees. Finally, the Company prohibits the harassment of any individual based on their protected status. This policy applies to all areas of personnel actions including recruitment, hiring, training, promotion, compensation, benefits, transfer, and social and recreational programs. LI | Remote

Основные задачи: исследование устройств и встроенного ПО на наличие НДВ и уязвимостей, приводящих к НСД; разработка демонстрационных PoC по результатам анализа;