Вакансии

Location: Remote Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE TEAM The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic. We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage. Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager. THE ROLE This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure. Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry (Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.) WHAT YOU’LL DO - Build and maintain backend services for experiment assignment, logging, and report generation - Improve scalability, performance, and reliability of experiment reporting pipelines - Add product-facing features to the UI to help users launch experiments and interpret results - Take technical ownership of projects: shape solutions, break down work, and drive execution with the team - Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions) You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls. REQUIREMENTS MUST-HAVE - Strong experience building and owning production backend services in Python - Experience with monitoring, alerting, and debugging user-facing systems - Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics) - Ability to ship maintainable software (tests, code review, incremental delivery) MINDSET - You take ownership: you can turn ambiguous problems into an executable technical plan - You care about building systems people trust and rely on NICE-TO-HAVE - Experience with experimentation systems, metrics platforms, or A/B testing workflows - Experience with PySpark and/or Databricks - We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain LOCATION / TIME ZONES - We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget - refreshed each year for every employee - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling. Manage and optimise application security tools, processes, and alerts to maintain a strong security posture. Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams. Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention. Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms. Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis. Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation. Participate in incident response and management activities. Stay current on the latest offensive security techniques, application security threats, and industry best practices. What We Look For In You 5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms. In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications. Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats. Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation. Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Strong analytical and problem-solving abilities with excellent verbal and written communication skills. Nice-To-Haves Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million. Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries. In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities. Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers. Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning. Ability to work across multiple mobile platforms simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will lead the development of the company’s core security engineering and DevSecOps capabilities, with a strong focus on security product development, platform engineering, and SDK /Agent development . The ideal candidate should demonstrate deep security expertise, broad technical coverage, strong hands-on engineering capability, and exceptional influence in driving security governance across business teams . What You’ll Be Doing Lead the architecture and core development of the company’s end-to-end DevSecOps platform, security products, and SDKs/Agents , covering code, build, artifacts, images, deployment, and runtime security. Own the design and development of RASP / Java Agent runtime protection , leveraging ASM, ByteBuddy, and Java Instrumentation for bytecode enhancement, runtime hooks, detection and blocking engines, while continuously improving performance, stability, and compatibility. Build and integrate SAST, DAST, IAST, SCA, code security scanning, and image security scanning into CI/CD workflows, and drive deep integration of tools such as SonarQube and Coverity to form a closed loop of scanning, gating, remediation, and re-validation. Drive core application security protection and offensive/defensive capabilities across scenarios such as XSS, SQL injection, SSRF, deserialization, command execution, authentication/authorization flaws, privilege escalation, and API security . Advance AI-Native Security Engineering by applying LLMs and AI Agents to vulnerability analysis, rule generation, false-positive reduction, remediation suggestions, security knowledge management, and workflow automation, while building deep understanding of their architecture, principles, and security implications. Partner closely with business engineering teams to drive security standards, integration rules, quality gates, risk classification, remediation workflows, and overall security governance adoption. Collaborate with engineering, architecture, operations, QA, and business stakeholders to solve complex security problems and turn them into scalable product capabilities, engineering solutions, and governance mechanisms. What We Look For In You Strong fundamentals in computer science and security, with deep understanding of operating systems, networking, compilers/ JVM internals, distributed systems, application security, cloud-native security, and software supply chain security , with both breadth and depth in security technologies. Expert-level Java proficiency , especially in JVM internals, ClassLoader , Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning ; proficient in Python or Golang as well. Proven hands-on experience with RASP, SAST, DAST, IAST, SCA, image security, and code security scanning , with the ability to independently design, integrate, and productionize security capabilities. Strong offensive and defensive security experience , with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments. Strong practical experience with LLMs and AI Agents , plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities. Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing security effectiveness, performance overhead, integration cost, and operability . Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes. Preferred Qualifications Background from top-tier Internet companies, cloud providers, or leading cybersecurity vendors ; Experience leading DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms ; Strong experience in security product development, SDK /Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response ; Hands-on experience in AI + Security initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the company's R&D Efficiency Platform, proactively identifying and eliminating risks across the delivery pipeline through CI/CD, DevSecOps, Change Management, and AI-Native upgrades—reducing delivery cost while improving quality and efficiency via platformization and automation. What You’ll Be Doing Build core capabilities of the R&D Efficiency Platform and onboard business systems to improve overall engineering efficiency and delivery quality; Design and optimize CI/CD pipelines (GitLab, Pipeline, ArgoCD), driving standardization, automation, and observability; Drive the AI-Native evolution of CI/CD , introducing AI Agent / LLM for intelligent code review, pipeline self-healing, smart test orchestration, and change-risk prediction; Build DevSecOps capabilities , embedding Shift-Left Security across the lifecycle with SAST, DAST, SCA, image/secret scanning, and security gates to ensure supply-chain security; Establish standardized Change Management , covering requests, risk assessment, approvals (CAB), canary releases, rollback, and change traceability; Apply Kubernetes, microservice governance (Nacos, Apollo, Kong), and Aliyun / AWS cloud services to ensure platform stability and scalability. What We Look For In You Solid Computer Science fundamentals (OS, networking, distributed systems, data structures & algorithms); Proficient in DevOps toolchains , CI/CD, Kubernetes, and microservice stacks; Familiar with DevSecOps concepts and security toolchains, understanding supply-chain security and compliance; Knowledge of AI / LLM in engineering-efficiency and CI/CD scenarios, with an AI-Native engineering mindset; Familiar with the Java stack, with broad awareness of multi-language and business-side technologies; Strong product sense, ownership, and ability to work under pressure; Fluent English communication for efficient cross-regional collaboration. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Data Quality Specialist on the Human Data Annotation team, you will ensure the highest standards of quality and efficiency in human data annotations. This role exists to support the development and evaluation of AI models by creating and auditing annotations that meet rigorous guidelines. You will work closely with the technical team to refine annotation processes, tools, and guidelines, directly contributing to the accuracy and reliability of our models. Your attention to detail and analytical skills will help maintain the integrity of the data that powers Mistral’s AI systems. What You Will Do - Create high-quality data annotations based on guidelines and continuous feedback. - Review and audit annotations to clarify requirements and improve annotation processes. - Collaborate with the technical team to share insights that enhance tools and guidelines. - Apply strong research and analytical skills to ensure data accuracy and consistency. - Exercise sound judgment when working with complex instructions, limited data, or multiple information sources. - Adapt to dynamic environments and evolving requirements to maintain high standards. - Contribute to operational workflows with a high tolerance for repetitive tasks. What We're Looking For - Relevant academic background in science, technology, engineering, or mathematics. - Professional proficiency in English, with strong writing and comprehension skills. - Outstanding research and analytical abilities to ensure data quality. - Excellent communication, interpersonal, and organizational skills. - Ability to adapt easily to changing requirements and dynamic environments. - Willingness to engage in operational work and learn new tools and technologies. - Experience with data, fluency in multiple languages, or familiarity with code is a plus.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Key Responsibilities: — Develop and implement gameplay mechanics, systems, and tools. — Collaborate with designers and artists to bring game features to life. — Optimize code for performance and memory usage. — Debug and resolve technical issues throughout the development cycle. — Contribute to the design and improvement of game engines and pipelines. Requirements: — Proven experience as a Programmer in game development or a related field. — Proficiency in programming languages like C++, C#, or Python. — Experience with game engines like Unreal Engine or Unity. — Strong problem-solving and debugging skills. — Excellent communication and teamwork abilities. Preferred Qualifications: — Experience with multiplayer or networked game development. — Knowledge of graphics programming (e.g., HLSL, GLSL). — Familiarity with AI programming and physics simulations. What We Offer: — Competitive salary and benefits. — Opportunity to work on exciting, high-profile game projects. — Collaborative and inclusive work environment. — Professional growth and development opportunities.

Задачи: — Разработка и поддержка микросервисов на Python с использованием FastAPI — Проектирование архитектуры с нуля — Обеспечение взаимодействия между сервисами — Участие в создании масштабируемой и надежной системы — Работа с Codex/Claude Code Требования: — Опыт разработки на Python и FastAPI — Знание принципов микросервисной архитектуры — Умение строить архитектуру и взаимодействие между сервисами с нуля — Ответственность и умение работать в команде — Опыт работы с RabbitMQ/Kaffka — Будет плюсом: знание GO, опыт Kubernetes Условия: — Работа в стабильной компании — Возможность профессионального роста — Интересные и сложные задачи — Комфортный офисный график

Location: One Kattameya, Cairo Workplace: onsite We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions. What you'll do: Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders. Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making. Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth. Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why. Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations. Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements. Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale. Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences. To succeed in this role, you'll need to have: 5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity. Background in fintech or banking is strongly preferred. Advanced SQL with strong understanding of complex datasets and multi-row relationships. Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift. Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI. Experience with dbt or similar data transformation frameworks. Working knowledge of Python or R for analysis and automation. Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.). Ability to transform ambiguous business questions into well-scoped analytical projects. Strong analytical judgment and methodological rigor. Excellent stakeholder management and communication skills. Commitment to data quality, governance, and consistent metric definitions. Ability to work autonomously and own projects from problem definition through delivery.

Задачи: - Разработка и сопровождение backend-сервисов на Python в микросервисной архитектуре - Разработка нового функционала платформы мониторинга и валидации моделей - Участие в развитии компонента автоматизированной валидации моделей - Проектирование и реализация REST API и интеграционных взаимодействий между сервисами - Разработка и сопровождение интеграций с внутренними системами банка - Оптимизация производительности приложений и SQL-запросов - Участие в проектировании технических решений и code review - Анализ, локализация и устранение дефектов - Развитие и поддержка пользовательского интерфейса платформы на React - Взаимодействие с аналитиками, тестировщиками, DevOps-инженерами и другими участниками команды Требования: - Опыт коммерческой разработки на Python от 3 лет - Уверенное знание Python 3 и принципов разработки ПО - Опыт разработки backend-приложений с использованием FastAPI - Опыт проектирования и разработки REST API - Уверенные знания SQL и опыт работы с реляционными базами данных - Опыт работы с SQLAlchemy - Опыт работы с React и TypeScript - Опыт разработки и сопровождения пользовательских интерфейсов - Опыт работы с Kafka или аналогичными брокерами сообщений - Понимание принципов микросервисной архитектуры - Опыт работы с Docker и Git - Понимание CI/CD-процессов - Способность самостоятельно решать задачи и принимать технические решения на уровне Middle+

Задачи: — Реализация продвинутых оптимизаций инференса (спекулятивное декодирование, квантизация, модификации внимания и др.) для максимизации mining weight. — Настройка Docker-конфигураций для различных моделей GPU на основе доступного реестра. — Разработка пользовательских стратегий оптимизации, балансирующих пропускную способность и качество. — Создание и поддержка пользовательских Docker-образов, оптимизированных под конкретные архитектуры GPU. — Проектирование и внедрение систем для стабильного и масштабируемого майнинга Gonka и других протоколов. — Разработка оптимизированных образов для Tenstorrent AI ASICs для расширения аппаратной экосистемы. — Миграция Python-кода и реализаций VLLM на новые VLLM-образы с адаптацией под конкретные GPU. Требования: — Подтвержденный опыт оптимизации больших языковых моделей. — Глубокое понимание архитектур трансформеров и механизмов внимания. — Владение PyTorch, CUDA и методами оптимизации GPU. — Опыт работы с vLLM, FlashInfer или аналогичными фреймворками оптимизации инференса. — Знание Docker и управления GPU-нагрузками. Желательные квалификации: — Опыт работы с Claude Code Max (предоставляется при необходимости). — Опыт работы с Gonka или аналогичными децентрализованными AI-сетями. — Опыт в конкурентной оптимизации ML или распределенных систем. — Знание архитектур NVIDIA GPU (B200/B300/H200/H100/A100). — Знание Tenstorrent AI ASICs или специализированного AI-оборудования. Условия: — Возможность работы с передовой AI-инфраструктурой. — Бонусы, зависящие от достигнутых улучшений mining weight. — Возможность постоянной работы с долей в прибыли от майнинга. — Гибкий удаленный режим работы. — Доступ к высокопроизводительному GPU-оборудованию для экспериментов.

Задачи: - Разработка и развитие платформенной части продукта: создание библиотек и компонентов, используемых продуктовыми командами, инициирование и продвижение технических улучшений - Участие в проектировании и разработке технического дизайна и архитектуры middleload & peakload приложений - Разработка ETL-процессов с использованием Apache Airflow, претендующих на highload - Активное участие в миграции на микросервисную архитектуру, включая лидирование в end-to-end выносе функциональности - Настройка и улучшение CI/CD-процессов, автоматизация рутинных операций - Внедрение и улучшение инструментов для тестирования и мониторинга - Поддержание и повышение качества кода: написание unit-тестов, проведение Code Review, контроль линтер-политик, усиление типизации Требования: - Опыт коммерческой разработки на Python 3.8 и выше от 5 лет - Опыт работы с async кодом от 3 лет - Опыт коммерческой разработки на Django и FastAPI от 2 лет - Опыт в проработке архитектуры системы, выстраивании межсервисного взаимодействия, умение видеть узкие места - Понимание принципов отказоустойчивости, безопасности и производительности; опыт с highload безопасными системами - Опыт работы с ORM: Django ORM, SQLAlchemy ORM; понимание оптимизации работы с базой, поиск утечек памяти через профилирование кода - Уверенные практические навыки работы с PostgreSQL: декларация сложных запросов, работа с индексами, полнотекстовый поиск, чтение explain - Коммерческий опыт работы с MongoDB: выстраивание структуры хранения данных и оптимизация - Опыт декомпозиции монолитных приложений на микросервисы: от отщепления функционала до запуска микросервиса в продуктив - Коммерческий опыт работы с Kafka от 1 года: написание consumer, producer, handlers, использование consumer group, настройка Kafka - Навыки работы с CI/CD (Gitlab CI) - Умение работать с системами мониторинга и составлять expression для визуализаций по метрикам (Prometheus, Grafana) - Открытость, умение работать в команде и активное предложение путей оптимизации инструментов и процессов

Задачи: — Разработка и поддержка платежных сервисов и финансовых продуктов. — Интеграция с PSP-провайдерами и развитие существующих интеграций. — Разработка и поддержка микросервисов. — Участие в проектировании и развитии архитектуры сервисов. — Оптимизация производительности и отказоустойчивости высоконагруженных систем. — Разработка нового функционала и сопровождение существующего кода. — Участие в code review и технических обсуждениях с командой. Требования: — Коммерческий опыт разработки на Python от 1 года. — Уверенное знание PostgreSQL, SQLAlchemy и Redis. — Опыт работы с микросервисной архитектурой. — Опыт работы с брокерами сообщений. — Понимание принципов построения высоконагруженных систем. — Опыт разработки и поддержки сложных backend-сервисов. — Умение писать чистый, поддерживаемый и качественный код. Будет преимуществом: — Опыт разработки платежных систем или финтех-продуктов. — Опыт интеграции с платежными провайдерами. — Опыт работы в сфере iGaming или Betting. — Опыт работы с ClickHouse. — Знание и применение CQRS. — Опыт работы с LiteStar. Условия: — Удаленный формат работы. — Работа под руководством Team Lead / Lead Developer. — Участие в развитии высоконагруженной платежной инфраструктуры. — Возможность влиять на технические решения и архитектуру продукта. — Конкурентная заработная плата от 1.000 USD на старте с возможностью пересмотра по результатам работы.

Задачи: - Разрабатывать новый функционал и рефакторить существующий. - Разрабатывать микросервисы. - Участвовать в проработке архитектуры проекта. - Быть частью продуктовой команды из 10 человек, которая работает по agile. - Выдвигать не только технические, но и бизнес идеи (при желании). - Участвовать в code review. - Взаимодействие с группой тестирования. Требования: - Уверенные знания Java 17 и новее. - Опыт применения Spring Framework (Spring Boot 3+), Spring Data JPA, Spring Security + OAuth2 / JWT, Spring Cloud. - Опыт написание многопоточных и асинхронных приложений. - Опыт разработки web-сервисов, понимание протоколов REST. - Опыт работы с ИИ инструментами. - Опыт работы с БД (SQL PostgreSQL, noSQL). - Опыт работы с Kubernetes (базовое понимание: pods, services, configmaps, ingress). - Опыт работы с Kafka, RabbitMQ. - Опыт работы с Push-уведомлениями: Firebase Cloud Messaging (FCM) для Android + APNs для iOS (через альтернативные библиотеки). - Понимание принципов оффлайн-синхронизации (last write wins, conflict resolution, delta updates, sync versioning).

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re hiring a Software Engineer to join our Platform Infrastructure team in San Diego. You’ll partner with a technical lead engineer and embedded in device identity and security—this is one area form the backbone of how we build, provision, deploy, and manage our robots at scale. You will have the opportunity to contribute to: - Device Identity & Security — The cryptographic chain of trust from secure boot through disk encryption and device attestation to cloud enrollment. Key management infrastructure, certificate lifecycles, and the tooling that ensures only trusted software runs on trusted hardware. This role is designed for someone who is curious, technically sharp, and eager to learn, grow and build. Much of what you’ll work on—from secure boot pipelines to fleet-scale cloud infrastructure—isn’t taught in a classroom. We’re looking for the right attitude, aptitude and experience. We’ll invest in continuing your development into a world class platform engineer.   WHAT YOU'LL DO Our platform infrastructure spans from the factory floor to the cloud and everything running on the robot in between. - Build and ship software — Write production-quality code that contributes to our platform infrastructure, from backend services and automation tooling to provisioning and test systems. - Learn alongside experts — Pair directly with a senior engineer who will mentor you in your focus area while giving you real ownership of deliverables. - Collaborate across a global team — Work daily with firmware, applications, cloud, manufacturing, systems, and operations team members across the local San Diego office and global offices in London, Boston, and Vancouver. - Embrace agentic development workflows — Use modern AI-assisted coding tools and practices we expect everyone on the team to leverage these to move faster with higher quality. - Own your growth — As the team scales and business needs evolve, your focus within the platform infrastructure workstream will grow with you.   WHAT WE'RE LOOKING FOR - Strong technical communication — You can explain your thought process clearly to a technical teammate, in writing and in person. - Receptive to feedback — You have a demonstrated history of receiving and responding to feedback constructively. - Leans into hard problems — You don’t shy away from unfamiliar territory; you dig in and figure it out. - Humble — You are able to put your own ideas aside, listen, and genuinely consider others’ perspectives. - Collaborative — You see knowledge as something to share, not withhold, in order to solve problems faster, together. - Responsible — You strive to understand the “why” of your work and have the passion and ambition to push to get it over the line. - Technically grounded — You have a solid foundation in CS fundamentals and can write clean, readable code even if you’re still building experience in our specific stack. Experience: - 5+ years of professional experience. - B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Proficiency in at least one systems or backend language (Python, C/C++, TypeScript, or Rust). - Proficiency in AI tools for research, iteration, feedback, development and test. - Comfort working in Linux environments. - Ability to work on-site at our San Diego office.   WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $155,000-$185,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: - Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. - Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. - Prompt models to complete complex data science tasks and review the accuracy of generated responses. - Label, proofread, and improve machine-written and human-written software engineering-related outputs. - Report quality and performance trends related to model/agent behaviour and project assignments. You may be a good fit if you have: - Exceptional data analysis and visualization skills. - 3+ years of relevant industry experience working on real-world data science problems and pipelines. - Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others). - Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML. - Prior experience re-writing, proofreading, and delivering feedback on code. - Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus. The Candidate Journey: - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If the above qualifications do not perfectly align with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Montréal ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in French and English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why joining us?  You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! Why join us?    You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.