Вакансии

Задачи: — Администрирование серверного оборудования под управлением ОС MS Windows Server 2016 и OС Linux (Astra, Redos) — Мониторинг производительности и доступности систем — Поддержка АРМов подразделения (установка ОС, прикладного ПО) — Установка платформы 1С сотрудникам предприятия (в том числе с использованием скриптов) — Взаимодействие с другими подразделениями в рамках настройки сетевой связанности серверов — Настройка, контроль резервного копирования БД, сервисов — Установка и настройка сертификатов для сайтов Требования: — Высшее образование — Опыт работы не менее 3 лет — Уверенное владение ОС Windows и Linux Astra, Redos (административный уровень) — Разработка/настройка скриптов — Понимание работы сетевых протоколов — Опыт работы с прикладным ПО PostgreSQL (установка, настройка, решение вопросов производительности), ПО Nginx, Apache, 1С, MS SQL, IIS Условия: — Трудоустройство и работа в соответствии с ТК РФ — Компенсация проезда в пригородных электропоездах — Питание за счет предприятия — Премирование по итогам работы за полный календарный год — Надбавка за стаж — Возможность получить профессиональное образование за счет метрополитена — Льготы на отдых в оздоровительном комплексе метрополитена — Детский оздоровительный лагерь и детский клуб

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 Rework Technician II to support the development, testing, and refinement of innovative wearable technology. In this hands-on role, you will partner closely with mechanical, electrical, and firmware engineers to build prototypes, perform electrical and mechanical rework, conduct testing and failure analysis, and help maintain highly organized engineering lab environments. The ideal candidate brings strong technical aptitude across both electrical and mechanical disciplines, exceptional attention to detail, and the ability to execute high-quality work in a fast-paced product development environment. RESPONSIBILITIES: - Perform electrical rework, soldering, troubleshooting, and analysis of PCBAs and other electronic components, including fine-pitch and small-form-factor components - Build and assemble prototypes, cable assemblies, test fixtures, and small-scale manufacturing assemblies in partnership with electrical and mechanical engineering teams - Conduct electrical and mechanical product testing, dimensional measurements, and inspections using tools such as microscopes, vision measurement systems, and calipers - Support failure analysis of engineering prototypes and consumer returns, documenting findings and communicating results to engineering partners - Maintain and organize electrical, mechanical, and automated test labs, including managing parts inventory, equipment, 3D printers, and lab supplies - Support engineering development activities including firmware updates, prototype modifications, test circuit board builds, and other hands-on technical work as needed QUALIFICATIONS: - 3+ years of relevant technician, electronics rework, prototyping, manufacturing, engineering lab, or related hands-on experience - Demonstrated experience with PCBA rework and soldering, including working with fine-pitch components; experience with BGA and 0201 or smaller components is a plus - Hands-on mechanical aptitude with experience in areas such as prototype assembly, product testing, cable or wire harness assembly, adhesives, fixtures, or 3D printing - Experience using measurement, inspection, and troubleshooting equipment such as microscopes, calipers, vision measurement systems, multimeters, or similar tools - Strong organizational skills, attention to detail, and ability to manage equipment, components, documentation, and multiple priorities in a fast-paced environment - Associate degree in an engineering, science, or technical field, or equivalent combination of education and relevant hands-on experience - Interest in consumer electronics, wearable technology, health, fitness, or performance products - 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 eligibilityThe 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 $110,000 - $150,000. 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: Dallas, Texas, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. At BRPH, we’re employee-owned and foster a collaborative, growth-oriented environment where architects, engineers, designers, construction professionals, and project managers work together to drive innovation and help clients achieve their goals. Overview Plan, direct, or coordinate activities concerned with the construction and maintenance of structures, facilities, and systems. Participate in the conceptual development of a construction project and oversee its organization, scheduling, budgeting, implementation and completion. Job Responsibilities • Lead site superintendents and ensure all aspects of the of the project are on schedule. • Establish a strong safety culture at the construction job site. Monitor contractors, subcontractors and employees for adherence to safety regulations, and compliance with OSHA regulations. • Confer with supervisory personnel, owners, contractors, or design professionals to discuss and resolve matters, such as work procedures, complaints, or construction problems. • Plan, schedule, or coordinate construction project activities to meet deadlines. • Prepare and submit budget estimates, progress reports, or cost tracking reports. • Inspect or review projects to monitor compliance with construction documents, building and safety codes, or other regulations. • Inspect or review projects to monitor compliance with environmental regulations. • Plan, organize, or direct activities concerned with the construction or maintenance of structures, facilities, or systems. • Study job specifications to determine appropriate construction methods. • Investigate damage, safety incidents, or delays at construction sites to ensure that proper construction procedures are being followed. • Prepare contracts or negotiate revisions to contractual agreements with architects, consultants, clients, suppliers, or subcontractors. • Develop or implement quality control programs. Qualifications Bachelor’s degree from an accredited university (preferred ) minimum of 7 years of relevant and progressive experience related to the duties listed above. Physical Requirements • Ability to navigate and move around the construction site, which may involve walking, climbing ladders and scaffolding, and standing for extended periods on uneven surfaces. • Ability to lift to 50 pounds. • Ability to handle tools, equipment, and perform tasks that require coordination and manual skills. • Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity. • Ability to operate a motor vehicle. • Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively. • Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others. • Ability to learn complex tasks and remember how to complete tasks without assistance once trained. • Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration. • Quick thinking and decision-making ability to address issues and challenges that may arise during construction. • Endurance to work in various weather conditions and handle the physical demands of supervising a construction project. • Strict adherence to safety protocols and the ability to enforce safety standards on the construction site. • Adherence to personal protective equipment (PPE) requirements when on the construction site, such as hard hats, safety vests, and steel-toed boots This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Задачи: — Анализировать данные, выбирать подходящие архитектуры (от классического ML до нейросетей) и обучать модели — Искать и тестировать новые подходы и решения, адаптируя их под наши нужды — Самостоятельно разворачивать модели в продакшн-среде — Настраивать рабочее окружение и библиотеки в условиях отсутствия прямого доступа к интернету — Настройка и интеграция локальных LLM Требования: — Уверенное владение Python и ML-стеком (Pandas, Scikit-learn, PyTorch/TensorFlow) — Понимание математики и статистики, стоящую за алгоритмами — Опыт работы с современными архитектурами (NLP, CV или LLM) — Умение упаковывать свои решения в Docker (критично для нашего контура) — Базовое знание Linux и опыт построения API-сервисов — Готовность работать полностью оффлайн в защищенной среде Будет плюсом: — Опыт развертывания локальных языковых моделей (LLM) — Навыки оптимизации кода под конкретное железо (GPU) — Умение работать с SQL-базами данных — Опыт с RAG, inference/serving Условия: — Только оффлайн формат работы (строго закрытый контур) — Работа в стабильном, регламентированном стеке с использованием собственных мощностей (GPU) — Работа с уникальными данными в защищенной среде

Задачи: — Управление ежедневными заказами, прямыми сообщениями и помощь покупателям в магазине direct-to-consumer. Требования: — Безупречное письменное общение на английском языке: высокий уровень, точная грамматика, вежливый и профессиональный стиль. — Отсутствие опечаток и сокращений. — Опыт работы с изолированными браузерными сессиями (AdsPower, Dolphin и др.) и умение самостоятельно управлять хранением и куки на своём устройстве. — Пунктуальность, высокая скорость работы на клавиатуре в рабочие часы, стремление к стабильной ежедневной работе. Условия: — Удалённая работа. — Полная занятость. — Зарплата $3200 в месяц. Для отклика: — Отправьте краткую информацию о себе, опыт работы с инструментами управления профилями/сессиями и ваш ежедневный график работы.

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. 👩‍💻THE ROLE We see Support at GitBook as a key function to strengthen customer trust. Every conversation is a chance to shape the product and make our support model more scalable. As a Technical Support Specialist, you’ll help technical teams document and share what they know with GitBook. You’ll answer product questions and troubleshoot issues with custom domains, integrations, APIs, SSO/SAML and bugs. You’ll use your knowledge of Git and DNS, and your ability to read logs across platforms to track down problems. You’ll keep first-response time, resolution time, and CSAT on track and share recurring feedback with Product and Engineering to improve GitBook. You'll turn what you learn into insight that shapes our roadmap, reduces friction and helps customers succeed long-term. 🫶YOU WILL BE VALUED FOR - Technical foundations: You know Git, GitHub/GitLab, SAML SSO, DNS and web fundamentals such as caching and redirects. - Developer fluency: You’re comfortable reviewing code, testing APIs and understanding OpenAPI specifications to support customers using our Integrations Platform. - AI forward thinking: You’re familiar with AI and LLM tools (including MCP) and keep up with new developments. You bring ideas for automation, self-service and smarter workflows. - Customer empathy and clear communication: You listen carefully and explain complex issues simply both in writing and conversation with a friendly tone. - Prioritization under pressure: You keep a busy queue moving with quick thoughtful replies while investigating deeper issues. You know when to switch focus or escalate. - Systems thinking: You don't just solve tickets. You ask why they happened and how to prevent the next hundred. - Remote collaboration: You troubleshoot with teammates, share what you learn and know when to work async or jump on a call. - Autonomy and adaptability: You take ownership, try things, ask for help when needed and learn as the product and team evolve. - Market curiosity: You follow how technology, AI, documentation and developer tools are changing and where GitBook fits. You dig into customer problems and bring ideas back to the team to improve our product, processes and customer experience. 🙌 WHAT WILL YOU BE DOING - Solving high-impact technical problems: Triage, troubleshoot and debug customer problems, knowing what needs urgent escalation and what belongs in a bug report or roadmap discussion. Document complex issues with reproduction steps and relevant logs and work with Engineering to resolve them. - Supporting customers: Help customers through our Helpdesk, Slack or Teams with everything from Authenticated Access and SAML SSO to monorepos and redirects. Ask follow-up questions to understand what they’re trying to achieve, help them get more from GitBook and build relationships where they feel comfortable sharing honest feedback. - Turning support into product insight: Spot recurring bugs, friction points and feature requests. Quantify their impact, suggest workarounds and bring clear, evidence-based recommendations to Product, Engineering and Design. - Shaping how we work: Help our small team improve how we prioritize, triage and automate support. You’ll work with evolving processes rather than a fixed playbook, take initiative with limited guidance and speak up with ideas and concerns. ✨ WHAT'S NEXT? Here's what our process will look like: - A screening interview with our People Team - 30 minutes - Interview with Support team member (technical interview) - 45 minutes - Technical Exercise - Meeting Hiring Manager + Support Team - 45-60 minutes - Meeting our CEO - 30 minutes - Offer *This process is not set in stone, we might add steps to the process as we go along, like a work sample. We will make sure to keep you posted! 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

Задачи: — Техническая поддержка команды и студентов — Работа с доступами, заказами, рассылками и сегментами — Проверка и корректировка процессов и воронок — Поиск и устранение технических ошибок Плюсом будет опыт в EdTech, HTML/CSS и работе со Stripe. Рассматриваются только кандидаты, постоянно находящиеся за пределами РФ. Удалённо, частичная занятость, долгосрочно. Оплата обсуждается на собеседовании.

Ищется наставник (устоз) для обучения молодого специалиста (шогирд) по направлению системного администрирования (tarmoq admistratorlik). Задачи: — Обучение и передача практических навыков в области системного администрирования. Требования: — Опыт работы в сфере системного администрирования. — Способность качественно обучать и передавать знания. Условия: — Место проживания наставника или возможность работать с учеником в Ташкенте. — Оплата обсуждается, ориентировочно 1 млн сум. Контакт для связи: +998 94 987 65 25. Цель ученика — стать сильным системным администратором.

Задачи: — Обеспечение бесперебойной работы оборудования в зоне ответственности отдела ИТ (компьютеры, принтеры, сетевое оборудование и т.п.); — Подготовка рабочего места (настройка ПК, выдача доступов); — Установка/настройка и устранение неисправностей программного обеспечения; — Оказание технической поддержки пользователей на рабочем месте и по средствам “удаленного доступа“; — Регистрация заявок в тикетных системах, консультация пользователей и разрешение инцидентов; — Письменная коммуникация с сотрудниками компании на русском и английском языке (уровень от B1); — Проведение работ по модернизации, поддержанию на должном уровне ЛВС компании; — Шифрование/Дешифрование рабочих ПК; — Ведение документации; Требования: — Опыт работы в технической поддержке от 2 лет; — Понимание принципа работы тикетных систем (опыт работы с продуктами Atlassian (Jira/Confluence) будет плюсом); — Развитый технический кругозор; — Хорошие знания ОС macOS/Windows/Linux; — Знание аппаратной части ПК, возможность диагностики и устранения неполадок; — Знание принципов работы сети; — Умение производить troubleshooting; — Коммуникабельность и стремление к профессиональному развитию; Условия: — Работа в солнечном офисе на Кипре; — 28 дней отпуска и оплачиваемые days off для перезагрузки; — Ежемесячный кутёж с командой; — Депозит в Benefit bar для спорта, психолога, языков или учебы.

Location: Dubai, United Arab Emirates RequirementsSystem Administration: Strong experience administering Windows, Linux, and macOS environments, including users, security policies, and remote access;Networking: Solid understanding of the OSI model, network protocols, routing, and LAN configuration for reliable office infrastructure;Scripting: Experience with Bash and PowerShell to automate routine system administration tasks and improve operational efficiency;Hardware Support: Ability to maintain and troubleshoot computers, peripherals, office equipment, and network infrastructure;Infrastructure Monitoring: Experience monitoring networks, servers, and system performance to proactively identify and resolve issues;IT Operations: Experience with backups, office applications, IT inventory, documentation, and external IT service providers;AI & Modern Technologies: Experience using AI-powered tools to support troubleshooting, scripting, documentation, and infrastructure management.ResponsibilitiesInfrastructure Support: Maintain and support network, server, and office IT infrastructure to ensure stable daily operations;User Administration: Support Windows, Linux, and macOS users and manage access, security settings, and system configurations;Network & Systems: Configure and monitor networks, servers, backups, and infrastructure performance to maintain reliability;Hardware Support: Diagnose and resolve issues with computers, peripherals, and other office equipment;IT Vendors: Coordinate with providers, hosting services, and hardware suppliers to support infrastructure needs;Documentation & Inventory: Maintain IT inventory, technical documentation, and procedures to ensure transparent infrastructure management.We offerHigh salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;Gym membership;Сorporate meals;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Обязанности: • Экспертиза в Linux, Docker. Требования: • Machine learning • Data science • Глубокие знания в различных областях ИИ: Computer vision, NLP, data mining • Опыт разработки Data Science architectures

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Fundamental Researcher - Compute Markets The role DRW is seeking a Fundamental Researcher to develop investment views on compute markets and the infrastructure that supports them. You will research the economics of compute supply and demand, form views on the macro forces shaping the market, and translate them into investment recommendations for a compute derivatives strategy. You will work alongside a quantitative researcher who owns the pricing models. Your contribution is an independent, fundamental perspective: understanding the models well enough to test their assumptions against what is happening in the market, and flagging when the market has moved ahead of them. This is a founding seat on a small investment team. We are particularly interested in candidates with credit, commodities or semiconductor research experience who can apply rigorous analysis of cash flows, capacity, contracts and downside risk to a market that is still taking shape. We do not expect deep prior experience in compute. We expect strong analytical foundations and the curiosity to build sector expertise quickly. What you'll do Develop macro and fundamental views on compute. Track and interpret the forces driving supply and demand: AI training and inference demand, hyperscaler and neocloud capital expenditure, chip supply and generational transitions, data center capacity, power availability, financing conditions and policy, including export controls. Translate pricing into investment views. Assess what compute pricing across contract terms and chip generations implies about demand, capacity and scarcity. Identify where prices diverge from fundamentals and recommend how to express those views. Validate pricing assumptions. Develop a working understanding of the pricing models and supply the fundamental evidence behind their key inputs, including supply pipeline, utilization, workload mix and the pace of price declines across hardware generations. Challenge those inputs when the evidence changes. Build research models. Develop supply-and-demand balances, unit economics and scenarios that connect fundamental drivers to compute pricing and investment outcomes, with assumptions documented and testable. Assess counterparties and assets with a credit investor's discipline. Evaluate revenue quality, utilization, cost structure, customer concentration, contractual commitments, leverage, liquidity and refinancing risk. Examine how generational turnover and the falling cost of compute affect asset values, counterparty resilience and recoveries. Make clear recommendations. Present to the Portfolio Manager and Investment Committee, setting out the investment thesis, valuation framework, catalysts, risks and the evidence that would change the view. Build differentiated information sources. Develop a network of industry contacts and data sources across hardware, cloud, data center and power markets to test assumptions and spot inflections early. What we're looking for 5 to 7 years of fundamental investment research experience, ideally in credit research or investing (including structured or asset-backed finance), commodities (particularly power and energy), or buy-side or sell-side coverage of semiconductors and digital infrastructure. A demonstrated ability to turn complex or incomplete information into a clear investment judgment. Strong financial modeling skills and a thorough understanding of cash flow analysis, capital structures and downside scenarios. Enough quantitative fluency to engage with pricing models: understand how they work, interrogate their inputs and judge whether their outputs are consistent with the market. You will not be expected to build or maintain them. An understanding of how a fundamental view translates into a derivatives position such as a forward or swap, or the ability to learn this quickly. The ability to distinguish structural trends from temporary supply-and-demand imbalances and to assess what is already reflected in pricing. A strong interest in compute markets and the drive to build expertise across hardware, cloud services, data centers and power infrastructure. Prior experience in the sector is valuable but not required. Clear written and verbal communication, intellectual independence, and a willingness to challenge assumptions and revise views as evidence changes. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. About the Team We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable. A few examples of what we own: Enterprise post-training- we are helping real companies by providing them small LLMs that beat frontier models in quality at a fraction of the cost. Off-the-shelf post-training - we are conducting research on datasets we deliver to clients, showing that training on these datasets will improve their performance. Fine-tuning and RL — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost. Evaluation, benchmarking, cost modeling, and model selection across providers. LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate. We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us. About the Position As a Principal ML Researcher, you will define the overarching technical vision, research strategy, and architecture for Toloka’s core ML and post-training stack. In this high-impact role, you will bridge frontier AI research and large-scale platform engineering. You will lead technical strategy across greenfield post-training paradigms (such as GRPO, process/outcome reward modeling, and RLAIF), architect resilient automated evaluation ecosystems, and set the standard for how foundation models are adapted and served on our platform. As a technical authority, you will mentor senior ML engineers, collaborate directly with executive leadership, and represent Toloka in the broader AI research community. What you’ll do Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL, and evaluation capabilities stay ahead of industry trends. Architect Greenfield Post-Training & RL Pipelines: Spearhead the transition beyond basic SFT into advanced RL frameworks (GRPO, PPO/DPO, reward modeling, Process Reward Models, and RLAIF) to power platform-wide LLM alignment and agent behavior. Pioneer Next-Gen Evaluation Harnesses: Design and calibrate bulletproof automated evaluation ecosystems, including human-aligned LLM-as-a-judge frameworks, dynamic benchmarking suites, and regression control setups. Advance Distillation & Inference Optimization: Lead research initiatives on model distillation, quantization, context compression (e.g., gisting), and speculative decoding to optimize latency-cost trade-offs at platform scale. Shape Agentic Platform Capabilities: Architect autonomous guiding agents and tool-use workflows, establishing foundational frameworks for multi-step reasoning, self-correction, and evaluation-driven feedback loops. Technical Leadership & Mentorship: Elevate the engineering and research bar across the team through architectural design reviews, hands-on mentoring of Senior ML Researchers, and establishing best practices for reproducible ML R&D. Cross-Functional & Community Influence: Partner with Product and Engineering directors to translate complex client challenges into scalable platform architecture; author high-impact research write-ups, blog posts, and external tech talks. What we're looking for 6+ years in ML engineering or applied research, with 3+ years of proven track record leading LLM post-training, fine-tuning, or alignment initiatives at scale. Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training. Mastery of LLM Evaluation & Calibration: Proven history of building evaluation pipelines from scratch, addressing LLM-as-a-judge biases, and tightly calibrating automated evals against human gold standards. Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM). Architectural Vision & Product Leadership: Demonstrated ability to map ambiguous technical challenges into robust platform features, balancing state-of-the-art research with production reliability and cost constraints. Technical Authority: Proven experience acting as a technical leader, mentoring senior researchers/engineers, and influencing cross-functional roadmaps. Language: Fluent spoken and written English (C1), with clear communication skills to articulate complex technical concepts to both internal teams and external clients/community. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Пропонуємо: • Перші 2 міс. $950 → далі $950 + KPI • Віддалено, графік 9:00–18:00 за Києвом, 5/2 • Оплачуване чергування у вихідні (1 раз/міс) • 14 днів відпустки, 10 лікарняних, компенсація спорту / мовних курсів Вимоги: • Досвід у Support / Media Buying / Digital Marketing від 1 року • Досвід роботи з Meta, Google Ads, TikTok, Snapchat • Розуміння акаунтів, білінгу, банів, верифікацій • Базове розуміння proxy, fingerprint, anti-detect Основні задачі: • Обробка технічних кейсів (бани, обмеження, збої) • Супровід верифікацій і whitelist • Моніторинг акаунтів і превентивні дії • Комунікація з клієнтами та внутрішніми командами • Ведення аналітики (банрейт, SLA, кейси)

Задачи: — Разрабатывать модели прогнозирования, скоринга, детекции аномалий и AI-агентов. — Выводить модели в production и масштабировать их. — Руководить небольшой ML-командой: менторинг, процессы, распределение задач. — Работать напрямую с заказчиками и участвовать в R&D. Требования: — Strong Senior в ML/AI. — Python, статистика, PyTorch/TensorFlow, scikit-learn, MLflow. — Опыт работы с AWS/Azure/GCP. — Системное мышление и желание строить технологии, которые влияют на решения национального уровня. — Команда русскоязычная, знание английского - плюс.

Задачи: — Решать вопросы по биллингу от начала до конца, включая технические проблемы. — Поддерживать точность записей в Stripe. — Обрабатывать очередь биллинга в Intercom: возвраты, вопросы по счетам, изменения планов и мест, отмены. — Диагностировать технические проблемы биллинга и взаимодействовать с поддержкой и инженерной командой. — Подготавливать, корректировать и отправлять счета, обрабатывать возвраты, кредиты и отмены. — Выявлять закономерности в биллинговых запросах и предлагать улучшения. — Использовать AI и автоматизацию для ускорения работы, при этом контролируя точность и конфиденциальность. — Проводить анализ и проекты для поддержания корректности биллинговых записей. Требования: — Опыт 3+ года в технической поддержке клиентов и биллинге (выставление счетов, платежи, возвраты, сборы). — Опыт работы в технологической или SaaS-компании. — Практический опыт работы с Stripe и/или бухгалтерским и биллинговым ПО (QuickBooks, Xero, Chargebee, Zuora, NetSuite). — Отличные навыки работы с числами, умение проверять расчёты. — Внимательность к деталям. — Знание AI-инструментов (ChatGPT, Claude, Gemini и др.) и умение контролировать их использование. — Свободное владение английским языком (письменно и устно). — Проживание на Филиппинах с надёжным домашним рабочим местом и графиком, пересекающимся с рабочими часами Северной Америки. — Готовность работать удалённо в быстро меняющейся среде. Желательно: — Опыт работы с Intercom, Zendesk или аналогичными платформами поддержки, а также Salesforce. — Знания в области бухгалтерии, финансов или ведения учёта. — Опыт работы с подписочными или моделью биллинга по использованию. — Навыки работы с продвинутыми функциями таблиц (поиск, сводные таблицы) или базовые знания SQL. Условия: — Удалённая работа из Филиппин. — Полная занятость. — Конкурентная компенсация и гибкий график отпусков. — Работа в международной команде с асинхронными процессами. — Культура, ценящая автономию, качество, инновации и устойчивый рост.

Задачи: — Управление ежедневными заказами, прямыми сообщениями и поддержка покупателей для магазина direct-to-consumer. Требования: — Безупречное письменное общение на английском языке: высокий уровень, точная грамматика, вежливый и профессиональный стиль. — Отсутствие опечаток и сокращений. — Опыт работы с изолированными браузерными сессиями (AdsPower, Dolphin и др.) и умение самостоятельно управлять хранением и куки на своём устройстве. — Пунктуальность, высокая скорость работы на клавиатуре в рабочие часы, стремление к стабильной ежедневной работе. Условия: — Полная занятость. — Удалённая работа. — Зарплата $3200 в месяц. Контакт для отклика: Доступно в источнике. Инструкция по отклику: — Отправьте краткую информацию о себе, опыт работы с инструментами управления сессиями и ваш ежедневный график работы.

Задачи: — Управление ежедневными заказами, работа с direct-сообщениями и помощь покупателям в магазине direct-to-consumer. Требования: — Безупречное письменное общение на английском языке, точная грамматика, вежливое и профессиональное общение. — Отсутствие опечаток и сокращений. — Опыт работы с изолированными браузерными сессиями (AdsPower, Dolphin и др.) и умение самостоятельно управлять хранением и куки на своём устройстве. — Пунктуальность, высокая скорость работы на клавиатуре в рабочие часы, стремление к стабильной ежедневной работе. Условия: — Полная занятость, удалённая работа. — Зарплата $3200 в месяц.