About the Role
We are a Las Vegas based game studio born on the Roblox platform and built by people who genuinely love this community. As a community-first studio, we care as much about our worlds and players as we do about the people building them. That mindset has helped us grow into one of the most innovative teams on Roblox, pushing boundaries, shaping culture, and setting new standards across the platform. With over 8B game visits, 44M monthly players, and a 19M member community, our worlds have become a core part of the Roblox ecosystem. We’re a ten-time winner of the Roblox Innovation Awards and recognized as builders of the future of the platform. From Creatures of Sonaria and Dragon Adventures to World // Zero and Horse Life, we create experiences that players live in, not just visit.
What we are looking for
We're looking for a passionate, data-driven Product Manager to join our game teams. In this role, you'll own the product vision and roadmap for your game, partnering closely with Design, Engineering, Art, Marketing, and Commerce to ship features that delight players and drive long-term growth. You'll sit at the intersection of player experience, game design, and live-ops, working within the unique constraints and opportunities of the Roblox platform, where your players are vocal, your community is enormous, and your updates ship in weeks, not quarters.
Responsibilities:
— Own and drive the product roadmap for your game, from ideation through launch and post-launch iteration.
— Analyze game metrics and player behavior to identify opportunities, diagnose problems, and measure the impact of shipped features.
— Stay close to your game's community to understand what players love, what frustrates them, and what they're asking for next.
— Collaborate with creative leadership to plan seasonal content, events, and monetization updates that resonate with your players.
— Partner with design, engineering, and art teams to translate product vision into well-scoped, executable work.
— Define and prioritize features based on player feedback, data, and strategic goals
— Write clear product specs and briefs that give your team everything they need to build with confidence.
— Run sprint planning, reviews, and retrospectives to keep the team focused and unblocked.
— Communicate progress, risks, and learnings to stakeholders clearly and proactively.
— Foster a culture of focus, momentum, and fun across your team.
Requirements:
— 1–3 years of experience as a Product Manager or Producer in gaming.
— Strong analytical mindset. You are comfortable working with data to inform decisions and measure outcomes.
— Experience owning a product roadmap end-to-end, including prioritization, scoping, and shipping.
— Familiarity with Roblox Studio. You don't need to write Lua, but you should be able to open a place in Roblox Studio, navigate a game hierarchy, understand how assets and scripts are organized, and speak credibly with developers about scope and feasibility.
— Excellent written and verbal communication skills. You can write a crisp spec and present a clear recommendation to leadership.
— Experience with live service products and the cadence of ongoing updates, events, and seasonal content.
— Collaborative by nature. You work well across disciplines and know how to build trust with creative and technical partners.
— Comfortable using tools like Notion, Google Suite, Discord, or similar for roadmap management and documentation.
Location:
This is a remote-first role open to candidates anywhere in the world. Las Vegas-based team members work in-office Tuesday through Friday (Monday optional). If Vegas sounds fun, we offer relocation support for candidates interested in moving here. In-office perks include daily DoorDash credits to keep you fed, commuter credits to cover your ride in, and a monthly game stipend because we think playing games is part of the job. We are actively building a UK talent hub in anticipation of a dedicated UK office. Candidates across the UK are warmly encouraged to apply.
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution, including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the team
Management API, written in TypeScript, Nest.js and other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel, Resend, or Lovable.
You will:
— Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications.
— Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase.
— Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform.
— Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance.
— Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users.
You have:
— 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod).
— Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices.
— Experience with OAuth, JWT, and API security best practices (rate limiting, CORS, etc.) is a plus.
— Good understanding of PostgreSQL and relational databases.
— Proven ability to build scalable, maintainable APIs and develop tools for testing, debugging, and monitoring API performance.
— Understanding of CI/CD pipelines, Docker, and containerized deployments to streamline API development, testing, and release processes.
What We Offer
— Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
— ESOP: Every team member receives ESOP (equity ownership) in the company.
— Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
— Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are.
— Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun.
— Flexible Work: We operate asynchronously and trust you to manage your own time.
— Professional Development: Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 280+ team members, 55+ countries, 20+ languages spoken, $500M raised, 500,000+ community members. We move fast, build in public, and use what we ship. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Hiring Process
We keep things simple, async-friendly, and respectful of your time:
— Apply – Our team will review your application.
— Intro Call – A short video chat to get to know each other.
— Interviews – Up to four calls with: Team Leads, Future teammates, Someone cross-functional from product, growth, or engineering (depending on the role), Someone from our leadership/founding team.
— Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast.
MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально.
Tech Stack:
• LangGraph + LangChain / Agentic AI
• vLLM + Hugging Face
• PyTorch + PEFT / LoRA / QLoRA
• Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone
• Advanced RAG, Prompt Engineering, Embeddings
• FastAPI + PostgreSQL
• Docker + Kubernetes + async processing: Arq / Celery / Redis Streams
• Apache Airflow для data pipelines
• AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock
• Structured output: Outlines / Guidance / Instructor
• Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana
• MLOps practices
Задачи:
• Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных
• Разработка production RAG-систем с высоким уровнем grounding и качеством citation
• Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization
• Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата
• Построение data pipelines и versioning для документов, embeddings и training data
• Создание evaluation frameworks, guardrails и систем контроля hallucinations
• Реализация reliable structured output и data extraction
• Тесное взаимодействие с physicians и Platform Architect
Требования:
• Сильный hands-on опыт с production LLM systems: RAG, agents, inference
• Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами
• Опыт построения data pipelines и versioning для LLM / RAG workloads
• Сильные навыки в evaluation, hallucination reduction и structured output
• Production Python + FastAPI + async processing
• Опыт с self-hosted inference: vLLM или аналогичные решения
• Опыт GPU optimization
• Английский язык на уровне C1: strong written and spoken communication skills
• Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области
• 5+ лет опыта в ML/AI
• 1.5–2+ года опыта в production LLM projects
• Опыт с MLOps
Будет плюсом:
• Опыт в medical / clinical NLP или regulated domains
• Cost modeling и optimization of LLM workloads
• MLOps и production fine-tuning pipelines
• Apache Airflow, Prometheus / Grafana или AI Solution Architecture
• Publications in relevant fields
Условия:
• Работа в early-stage HealthTech startup с продуктом для US healthcare market
• Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы
• Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote
• Зарплата $4 000 – $5 000 USD gross + equity
• Возможность релокации в США при успешном росте компании, обсуждается индивидуально
About us
At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $2B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich. We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile’s fastest-growing SaaS companies and aiming for number one worldwide.
What You Will Do
— Lead acquisition strategy and performance across several client projects
— Manage and support a team of UA specialists, ensuring high-quality execution
— Build scalable frameworks for targeting, bidding, budgeting, and geo expansion
— Drive creative testing cycles in partnership with the Creative Production team
— Oversee tracking, event validation, and attribution quality across channels
— Conduct weekly client reviews with insights, recommendations, and clear action plans
— Align UA efforts with product growth and monetization initiatives
— Stay current with industry trends, platform updates, and competitive landscape changes
What We Expect
— 3+ years of hands-on experience managing paid UA across Meta, Google, TikTok
— Proven results scaling mobile apps in multiple verticals
— Experience with web-to-web acquisition flows
— Strong analytical thinking and comfort with post-ATT measurement approaches
— Familiarity with attribution and analytics tools (AppsFlyer, Adjust, Amplitude, Mixpanel, etc.)
— Strong understanding of subscription economics
— Ability to mentor, guide, and support UA specialists
— Confident communicator with experience presenting strategy and performance to clients
— Ability to structure experiments, interpret results, and recommend next steps
— Fluent English and solid cross-functional collaboration skills
It’d Be Great If
— Experience with additional channels: Apple Search Ads (ASA), ASO, Google Search, Snapchat, Twitter/X, Pinterest, etc.
— Experience managing high-spend campaigns ($1M+ per month)
— Background in agency, consulting, or multi-client environments
— Experience with subscription-heavy categories or multi-vertical portfolios
What’s in it for you
— Strong product with industry-best metrics. Adapty is among the top 5 fastest-growing SaaS companies.
— Exceptional compensation directly tied to your results.
— Direct communication and ownership. No bureaucracy, no politics, just impact.
— Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
— Professional support. Language learning, sports, health insurance, laptop coverage, and more.
Responsibilities:
• Conduct group sessions on AI, Data Science, ML models
• Answer student questions and provide project feedback
• Help find practical solutions beyond textbooks
• Support students in their career transition
• Participate in improving the curriculum
Requirements:
• Kazakh (C2)
• three+ years experience in Data Science
• Knowledge of mathematical statistics
• Experience with regression and classification models
• Familiarity with numpy, scikit-learn, pandas
Optional requirements:
• Experience in mentorship, teaching, or team leading
• Experience in Computer Vision and RecSys projects
• Participation in hackathons
RELOCATION TO BERLIN Location: This role requires being on-site at the Berlin office for at least 80% of weekly working hours. Up to 20% mobile work is allowed from anywhere within Germany, with an option to work from abroad for this portion. Visa sponsorship is provided for joining from outside of Germany, and candidates planning to relocate to Berlin are welcome.
Company: Bonial is a digital advertising partner for offline businesses, part of Axel Springer SE, and the leading "Drive to Store" partner in Germany and France, connecting millions of users with their favorite shops and brands.
What you will do:
— Lead and mentor a diverse hybrid team of software engineers.
— Define and drive the technical vision and strategy for the Reach Ads product, ensuring alignment with business goals.
— Oversee the entire software development lifecycle for Reach Ads, from planning to deployment.
— Collaborate with Product and Development teams to build scalable solutions using Java, Python, and AWS.
— Ensure system availability, stability, quality of service, and security standards are met.
— Foster a culture of continuous learning, professional development, and transparent communication within the team.
Requirements:
— Extensive experience in software engineering and a strong background in team leadership.
— Proficiency in Java and a good understanding of software architecture.
— Experience or willingness to work with a distributed team.
— Excellent communication and interpersonal skills.
— Agile mindset and experience with modern development practices.
— Strong problem-solving skills and a passion for staying ahead of industry trends and technologies.
— Must be able to work on-site at the Berlin office for at least 80% of weekly working hours.
— Ability to obtain legal work authorization in Germany.
Nice to have:
— Hands-on experience with third-party advertising platform integrations (Google Ads, Meta, DV360) and Adtech.
Culture & Benefits:
— High-growth and dynamic company leveraging AI for productivity and efficiency.
— Strong support for professional development with a feedback culture.
— Commitment to diversity and an equal opportunity workplace.
— Wellbeing benefits including free access to nilo.health mental health app and partial Urban Sports Club subscription.
— Flexible work policy allowing up to 20% mobile work within Germany and option to work from abroad for this portion, plus 28+ days of holiday.
— Modern office in Berlin with a gym, Zen Rooms, roof terrace, and free lunch/snacks.
— Social culture with regular team events.
What this job can offer you
This is an exciting time to join Remote and make an impact in the global employment space as a Senior Product Designer joining our Product Design team. Design at Remote is a 40+ multi-disciplinary team of designers and creatives passionate about crafting the experiences that help Remote scale successfully and help customers find, hire, manage and pay anyone, anywhere.
At Remote, we look for Senior Product Designers who are well-experienced, have high-level of maturity across the end-to-end design process, can autonomously lead design within a product team and are comfortable navigating ambiguity. You will be part of a thriving cross-functional organisation, where you will collaborate with Designers, Engineers and Product Managers worldwide to deliver remarkable user experiences to customers.
What you bring
An individual contributor with an impressive portfolio of product design work demonstrating your maturity across the end-to-end design process, not only showcasing your ability to identify and understand problems to solve, but deliver delightful, well-crafted user interfaces that have tangible impact on users.
Persuasive communication skills that help you build strong narratives around your design work, provide direction and guidance to others, as well as collaborate effectively with peers and stakeholders - with fluent written and spoken English.
A systems thinker who champions the importance of holistic thinking, is comfortable in a high-growth, fast-paced environment and has a work history that demonstrates an ability to autonomously take ownership of design for complex domains and/or multiple projects.
Strong evidence that you are an effective cross-functional collaborator with your product and engineering counterparts and are able to work effectively to build consensus and resolve debates and drive the business towards impactful outcomes.
You are an engaged member of your design organization whose focus is not only delivering quality user experiences, but help shape our design culture and ways of working.
Preference will be given to candidates who have experience designing complex B2B SaaS solutions for industries like HRTech, FinTech etc.
Candidates that embody and demonstrate our core values at Remote.
While it is not required to have experience working remotely, it is considered a plus.
Key Responsibilities
Influencing strategy for your product team, identifying opportunities for impact in collaboration with your stakeholders and cross-functional peers.
Applying the right research methodology at the right time, helping you and your team empathise with customer challenges and developing an intimate knowledge of the problem being solved.
Leveraging AI prototyping as a tool for exploring conceptual ideas, iterating with your cross-functional peers and these bringing ideas to life with functional flows.
Crafting high-fidelity user interfaces with flair at velocity, expressing your maturity in interaction design and maintaining our exceptional bar for quality, while delivering at speed.
Leading compelling vision initiatives for your team and domain, influencing and visualising the direction-of-travel and opportunities for innovation.
Solving problems holistically with systems-thinking, understanding the ripple effect of your design decisions and ensuring scalability, while avoiding introducing unnecessary variation to our information architecture and experiences.
Communicating persuasively, weaving storytelling narratives around your work to bring peers on the journey with you, while triaging their critique and feedback efficiently and effectively.
Collaborating transparently in the open, proactively sharing your work with the wider organisation to solicit frequent feedback and identifying opportunities for cross-domain collaboration.
Advocating usage of our design system Norma to its best advantage, understanding when to follow it strictly or deviate, improve and contribute.
Championing our experience principles by ensuring simplicity, usability, scalability and accessibility in all user experiences we deliver.
Being an active member of our cross-functional culture by advocating quality, shaping our ways of working and providing peer support, critique and feedback to others.
Practicals
You'll report to: Design Manager or Senior Design Manager
Team: Product Design
Location : Anywhere in the world
Start date : As soon as possible
Benefits
work from anywhere
flexible paid time off
flexible working hours (we are async)
16 weeks paid parental leave
mental health support services
stock options
learning budget
home office budget & IT equipment
budget for local in-person social events or co-working spaces
How you’ll plan your day (and life)
We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.
You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting.
Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.
How to apply
1. Please fill out the form below and upload your CV with a PDF format.
2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.
Задачи:
- Управление AI-продуктами от идеи до вывода в прод.
- Участие в проработке AI-стратегии кластера (Roadmap, KPI, приоритизация инициатив).
- Проработка архитектуры AI-решений.
- Координация команд: Data Scientists, ML-инженеры, Data Engineers.
- Решение проблем масштабирования моделей и качества данных.
- Запуск PoC и MVP AI-продуктов.
- Оптимизация инференса моделей (скорость, стоимость, точность).
- Дообучение open-source моделей под задачи бизнеса.
Требования:
- Образование: высшее.
- Опыт работы: от 5 лет на релевантной позиции.
- Опыт в предметной области AI.
- Опыт коммерческой разработки, развитый технический кругозор.
- Навыки презентации для C-level с ценностными тезисами.
- Agile/Scrum для ML-проектов.
- Языки: Python, SQL.
- ML/DS: scikit-learn, TensorFlow/PyTorch, Hugging Face, LangChain.
- MLOps: MLflow, Kubeflow, Airflow, Docker/Kubernetes.
- Данные: Spark, DWH (BigQuery, Snowflake), векторные БД (FAISS, Pinecone).
- Опыт управления коллективом: обязателен.
Требования к личным качествам:
- Лидерство, выстраивание коммуникаций, синхронизация работ, критическое мышление, предпринимательский mindset, адаптивность.
Знание стека:
- LangChain, Kafka, K8s, LLM-модели, NLP-модели — embedding, NER, classification.
Задачи:
— Разработка и улучшение biometric и identity verification решений
— Создание production-level Computer Vision и ML-систем
— Разработка алгоритмов Face Verification, Liveness Detection, Anti-Spoofing и Deepfake Detection
— Оптимизация моделей для высоконагруженных систем
— Работа с большими датасетами и подготовка данных
— Внедрение современных исследований SOTA в production
— Разработка и поддержка полного ML/CV pipeline
— Участие в подготовке решений к международным сертификациям и тестированиям
— Работа над AI-продуктами для банков, финтех-компаний, криптоплатформ, телеком-операторов и государственных организаций
Требования:
— Опыт работы ML Engineer / Computer Vision Engineer от 3 лет
— Опыт работы с Face Biometrics, KYC, Identity Verification или Anti-Fraud решениями
— Глубокие знания Computer Vision и Deep Learning
— Уверенное владение Python
— Опыт работы с PyTorch и/или TensorFlow
— Опыт построения production-grade ML/CV систем
— Опыт работы с large-scale datasets
— Опыт оптимизации inference, latency и производительности моделей
— Понимание архитектуры enterprise biometric systems
— Английский язык на уровне B2
— Обязательное преимущество: Опыт подготовки решений к сертификации iBeta Level 2 или Опыт прохождения / участия в сертификации iBeta Level 2
Будет большим плюсом:
— Опыт работы в biometric, KYC или identity verification компаниях
— Участие в NIST FRVT Evaluations
— Опыт разработки Anti-Spoofing и Liveness Detection систем
— Опыт работы с Deepfake Detection
— Понимание международных biometric compliance и certification standards
— Опыт внедрения SOTA research papers в production
— Опыт teamleading
Условия:
— Работа в международной AI-компании
— Участие в разработке production-grade AI-продуктов для международных рынков
— Официальное трудоустройство по трудовому договору
— График 5/2, 8-часовой рабочий день
— Работа в офисе в Алматы
— Финальный оффер зависит от уровня экспертизы
— Возможность работать над сложными задачами в области Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention и Identity Verification
At Querify Labs, we work with technology companies on the design and implementation of complex data infrastructure systems. Our engineers contribute to projects involving query processing, storage engines, distributed systems, and analytical infrastructure.
Our Engineering Approach:
Our engineers primarily work with Java and C++, though we are not tied to any specific language or technology stack. We value strong engineering fundamentals and the ability to select the right tools for the problem at hand. We leverage modern AI-assisted development tools to accelerate research, prototyping, implementation, and code exploration. We view AI as a force multiplier for experienced engineers rather than a replacement for engineering judgment, system design, or deep technical expertise. We actively study open-source systems, academic research, and production architectures to make informed engineering decisions.
You Will:
— Design and implement core system components
— Investigate performance bottlenecks and scalability challenges
— Analyze open-source projects and research papers
— Write technical design documents and validate ideas through prototypes
— Participate in architecture discussions and code reviews
— Work closely with experienced database and distributed systems engineers
You Have:
— Strong knowledge of algorithms and data structures
— Solid software engineering experience in Java, C++, Rust, or another systems-oriented language
— Interest in databases, query processing, storage engines, or distributed systems
— Strong analytical and problem-solving skills
— Ability to understand complex technical trade-offs and communicate them clearly
— Curiosity, ownership, and a desire to learn new technologies
Nice to Have:
— Experience with databases, query engines, storage engines, or distributed systems
— Experience with concurrency, parallel algorithms, or performance optimization
— Experience with big data technologies and data processing systems
— Contributions to open-source projects
— Research publications, conference talks, or technical writing
What We Offer:
— Competitive compensation based on experience, expertise, and impact
— Long-term contractor engagement
— Fully remote work from anywhere in the world
— Exceptionally challenging technical problems
— Opportunities to publish, speak at conferences, and contribute to the technical community
Задачи:
— активно участвовать в разработке микросервисов на Python;
— участвовать в проработке технических требований, архитектуры и подходов к решению;
— участвовать в управлении бэклогом команды, проводить приоритезацию и контролировать выполнение задач;
— заниматься people-менеджментом: участвовать в найме, развитии сотрудников и т.д.
Требования:
— опыт работы в роли MLOps Engineer от 4-х лет;
— опыт работы в роли Team Lead/ проведение code review – не менее 1 года;
— опыт коммерческой backend-разработки на Python от 3-х лет;
— понимание способов интеграций IT-систем (шины, очереди, API);
— практический опыт с Kubernetes, Redis;
— опыт работы с реляционными базами данных, уверенные знания SQL;
— понимание принципов CI/CD;
— понимание микросервисной архитектуры;
— опыт работы с ИИ моделями и их внедрением.
Будет плюсом:
— знания в области BigData (Hadoop, Spark), OpenSearch;
— знание планировщиков процессов (AirFlow);
— опыт работы в банковской сфере;
— понимание гибких методологий разработки (Agile);
— знание основных инструментов управления разработкой (например: Jira, Confluence);
— знания и опыт в Machine learning;
— опыт управления IT проектами, включая разработку и внедрение ML моделей в продакшн;
— опыт разработки ML моделей в роли data scientist, data engineer, ML Ops.
Условия:
— Хорошая зарплата: уровень обсуждается индивидуально, есть доплаты за менторство и профактивности.
— Развитие: долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review.
— Комфорт и свобода: релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников.
— Обучение: доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер).
— Социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные.
— Корпоративная жизнь: тимбилдинги, детские праздники, внутренние мероприятия.
Задачи:
— Лидировать в продукте направление системного анализа бизнес-требований при проектировании архитектуры и API (REST) для новых сервисов
— Разрабатывать и поддерживать микросервисы на FastAPI и взаимодействовать со смежными командами для интеграции компонентов и ML-моделей в сервисы
— Разработывать промпты и сценарии для генеративных моделей
— Оптимизировать производительность сервисов на всех уровнях: код (asyncio, threading), хранение данных и запросы (продвинутый SQL, индексы, шардирование), кэширование Ignite, работа с очередями Kafka, создание и оптимизация RAG-систем для работы с данными
— Участвовать в проектировании тестовых сценариев и создании тестовых датасетов, контролировать качество реализации, проводить глубокий анализ дефектов, определять их корневые причины.
Требования:
— Коммерческий опыт разработки на Python от 2 лет, включая самостоятельное проектирование архитектуры компонентов сервисов на основе бизнес-требований и использование фреймворков для ML
— Практический опыт создания высоконагруженных и отказоустойчивых микросервисов на FastAPI, а также продуктов с внедрением ML решений
— Знания в области асинхронных приложений, продвинутый SQL (оконные функции, оптимизация запросов), опыт с брокерами сообщений Kafka, с Docker и Kubernetes
— Знания алгоритмов и структур данных
— Понимание принципов работы генеративных моделей (GPT, GigaChat и др.)
— Высокая культура совместной работы с BitBucket/Jira, бережное отношение к коммитам, знание процессов Agile (Scrum)
— Опыт в системном/бизнес-анализе будет плюсом
— Знание основ современных LLM, архитектуры AI-агентов и опыт интеграции ML-решений (NLP, LLM) в продукты будет плюсом
— Навыки использования AI-инструментов (GigaChat, DeepSeek, ChatGPT) для анализа, генерации и автоматизации будут плюсом
— Практический опыт работы с фреймворками ML/DS: (LangChain/GIgaChain, Scikit-Learn, Pandas и др.) будет плюсом.
Условия:
— Комфортный современный офис на м.Кутузовская
— Формат работы офис на время адаптации, далее 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
— Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
— Вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
- Разработка ML-моделей на различных типах данных: табличные, графовые, NLP и событийные последовательности для прогнозирования отказов и сбоев в оборудовании;
- Решение задач дискретной оптимизации;
- Участие в исследовании новых источников данных и развитии feature store (в Apache Doris);
- Поддержка полного цикла разработки DS/ML-продуктов - от идеи до продакшена;
- Участие в создании и развитии AI-агента на базе LLM - от экспериментов до реального применения.
Требования:
- Опыт в роли Data Scientist от 1.5 лет;
- Опыт end-to-end разработки ML-решений: от постановки задачи и работы с бизнесом до внедрения в production и поддержки моделей;
- Отличное знание Python и глубокое понимание классических алгоритмов машинного обучения, опыт работы с NLP, временными рядами, задачами детекции аномалий;
- Опыт работы с deep learning, включая RNN-like архитектуры и трансформеры;
- Умение работать с БД (SQL), собирать и обрабатывать данные;
- Уверенное понимание A/B-тестирования;
- Высшее техническое образование.
About Mistral:
At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore.
Role Summary:
Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions.
Responsibilities:
— Define and evangelize product strategy for Forge aligned with company goals and market opportunities
— Lead market and UX research to identify unmet needs and trends in AI post-training capabilities
— Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience
— Collaborate with design and research to create intuitive, impactful user experiences using data and feedback
— Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption
— Align engineering, design, and business teams on priorities, trade-offs, and timelines
— Maintain a dynamic roadmap delivering quick wins and long-term goals
Requirements:
— 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions
— Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures
— Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving
— Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud)
— Familiarity with Kubernetes/Slurm is a strong plus
— User-focused with data-driven problem solving
— Proven cross-functional influence without direct authority
— Strong communication skills to explain complex technical concepts clearly
— Adaptability to dynamic priorities
— Collaborative, low ego, high emotional intelligence
— Self-directed with ownership of outcomes
Preferred:
— Strong knowledge of model training and architectures
— Proficient coding skills recommended
— Kubernetes expertise recommended
— Experience with product-led growth strategies
— Founder or early-stage PM experience
— Ability to prototype or dive into code
Location & Work Format:
— Based in Paris, France or London, UK offices
— Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy
— Encouraged to work in office at least 3 days per week
Conditions:
— Competitive salary and equity (stock options)
— Health insurance
— Transportation allowance
— Sport allowance
— Meal vouchers
— Private pension plan
— Generous parental leave
— Visa sponsorship
Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week).
Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery.
What you will do:
— Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems.
— Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems.
— Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance.
— Implement observability, monitoring, and cost visibility for LLM and agent workloads.
— Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem.
— Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale.
Requirements:
— Proven experience shipping LLM-powered systems or AI agents into production.
— 4+ years of experience in production machine learning infrastructure, specifically involving LLMs.
— Strong programming skills in Python with experience building scalable backend services.
— Experience with Cloud platforms, ideally AWS or GCP.
— Strong communication skills and ability to work collaboratively in cross-functional teams.
Nice to have:
— Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow.
— Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex.
— Experience with ML frameworks such as Hugging Face or PyTorch.
Culture & Benefits:
— Hybrid working model with 2 days a week in the Berlin campus.
— 27 days of holiday, increasing with years of service.
— €1,000 Educational Budget, language courses, and access to Udemy Business.
— Health checkups, meditation, and gym/bicycle subsidies.
— Employee Share Purchase Plan, corporate pension plan, and life/accident insurance.
— Relocation support and dedicated relocation hub for moving to Berlin.
Задачи:
— разрабатывать RAG-помощника для пользователей «Авито Подработки»;
— автоматизировать работу диспетчеров в «Авито Подработке» с помощью LLM;
— участвовать в создании ассистента для «Авито Подработки».
Требования:
— опыт работы в Data Science / Machine Learning от 3 лет;
— опыт построения RAG;
— опыт построения AI-агентов;
— опыт работы с LLM;
— умение писать поддерживаемый, тестируемый и масштабируемый код на Python;
— опыт внедрения моделей в продакшен;
— умение работать с заказчиками внутри команды и за её пределами.
RELOCATION TO SPAIN
About the opportunity
We're looking for a Senior Product Designer to join N26's UX team in the Grow and Engage domain. There are several areas within the domain where design strength is being added, and candidates will be matched based on their background and interests. The role involves leading end-to-end design for key parts of the N26 experience used by millions of customers daily. The position reports to the Head of UX and works within a cross-functional team including product, engineering, research, and data partners.
About the work
The Grow and Engage domain focuses on how customers derive lasting value from N26, covering core product features that drive daily banking habits, recommendations, AI-powered insights, and subscription tiers (Smart, Go, Metal). The role includes designing for the home screen, in-app discovery, and cross-cutting product patterns, with scope to influence current and future product packaging.
What you'll do
- Own end-to-end design for important workstreams from problem framing through research, exploration, and delivery.
- Deliver high-quality UI and interaction design that delights customers and drives conversion.
- Define user needs, success criteria, constraints, and tradeoffs before solution development.
- Adapt to evolving priorities, knowing when to dive deep or pivot.
- Mentor and elevate the design craft of peers through critique and leadership.
- Ensure consistency by contributing to and improving the design system and creating reusable patterns.
- Use data-informed approaches combining qualitative and quantitative research.
- Collaborate closely with product, engineering, research, and data teams to deliver impactful work.
- Utilize AI tools fluently for exploration, prototyping, synthesis, and accelerating design tasks.
What we're looking for
- High personal standards in design output that elevate the team.
- System thinking to design holistic product experiences.
- Rigorous problem understanding before solutioning.
- Ability to ship quickly, prototype to learn, and avoid over-polishing.
- Comfort and curiosity with AI tools in design practice.
- Ability to provide constructive feedback that improves team thinking.
You're a good fit if you have
- A strong portfolio demonstrating end-to-end product design on complex consumer products, ideally mobile and at scale.
- Experience leading design across multiple workstreams or feature areas.
- Experience contributing to a production-scale design system.
- Experience grounding decisions in research and data, proactively seeking data when unavailable.
- Experience mentoring designers and elevating design craft.
- Strong written and verbal communication skills to advocate design decisions to product, engineering, leadership, and customers.
How we work
- Close collaboration with PM and engineering to develop scalable solutions.
- Hands-on leadership where managers continue to design.
- AI is integrated into design tooling, prototyping, and product development.
- Frequent shipping and learning from live products as well as design tools.
What’s in it for you
- Career acceleration at a leading European fintech disruptor.
- Employee benefits including personal development budget, work from home budget, fitness and wellness discounts, language apps, and public transportation.
- Premium N26 bank account subscription for employees and their friends and family.
- Additional annual leave days for each year of service.
- High autonomy and access to cutting-edge technologies.
- Relocation package with visa support for those who need it.
Задачи:
— Улучшать стабильность и качество текущих AutoML алгоритмов, оптимизировать код;
— Разрабатывать новые сценарии платформы для аналитиков (поиск аномалий, очистка данных, кластеризация, анализ дрейфа данных/концепта);
— Улучшать отчетность и артефакты по полученной модели (отчёт по модели с интерпретацией LLM, графики, таблицы);
— Обновлять документацию и технические инструкции по сценариям платформы;
— Взаимодействовать по внедрению новых сценариев и фич платформы с MLOps командой;
— Проводить анализ потребностей аналитиков, формализовать их в сценарии;
— Поддерживать пользователей (аналитиков);
— Отвечать за релизный цикл библиотеки;
— Проводить ревью PR от других DS.
Требования:
— Опыт в Data Science от 3 до 5 лет (важна насмотренность к кейсам и разным моделям, опыт промышленной разработки);
— Уверенное владение ML- и DL-стеком Python: PyTorch, LightGBM / XGBoost / CatBoost, Scikit-Learn, Pandas, NumPy;
— Умение работать с инструментами: Spark, Hadoop, Hive, MLflow, Airflow / Argo Workflows;
— Обязателен опыт в табличных данных и классическом ML (градиентный бустинг, логистическая регрессия, кластеризация);
— Будет большим плюсом: Контрибьют в ML-библиотеки; Опыт full-stack разработки;
— Не подходят кандидаты с чистой карьерой в CV / NLP / LLM без серьёзного бэкграунда в таблицах.
Условия:
— Работа в аккредитованной IT компании;
— Формат работы: удалённый по РФ (или гибрид — на выбор);
— Расширенный ДМС (со стоматологией);
— Выдача необходимой для работы техники (ноутбук);
— Возможность воспользоваться реферальной программой: «Приведи товарища»;
— Участие в Бонусной программе;
— Помощь с ипотекой и другими пособиями;
— Возможность построить карьеру в рамках ведущих компаний России.
ГибридseniorМосква
300 000 – 350 000 ₽
Удалённо
Зарплата не указана
ГибридleadАстана
4 000 – 5 000 $
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