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Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. Key Requirements: — 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka — Strong knowledge of event-driven and streaming architectures — Experience with Docker, Kubernetes, CI/CD, and JVM performance tuning — SQL/NoSQL databases and distributed systems troubleshooting — Understanding of security best practices and data protection — Banking or fintech experience is a plus. Conditions: — Relocation support — Medical insurance

Задачи: — проектировать, проверять и масштабировать структурное оборудование для роботизированных рук. Требования: — знание ASME, SolidWorks, FEA, Corrective Action, GD&T, Nx, CATIA, CAD. Условия: — работа в офисе в Сан-Хосе, Калифорния. — зарплата от $120,000 до $250,000 в год.

Задачи: — проектировать, тестировать и внедрять аппаратные компоненты гуманоидных роботов. Требования: — владение ASME, FEA, проводкой (wire harness), MATLAB, GD&T, коммуникационными шинами, прототипированием, электромеханической интеграцией, моторами, актуаторами, CAD, сенсорами. Условия: — зарплата от $120,000 до $250,000 в год.

Задачи: — Разработка, деплой и оптимизация мультимодальных моделей восприятия и рассуждения для физических роботов. Требования: — Опыт работы с технологиями TensorRT, Jax, ONNX, ROS2, PyTorch, Python, Docker, C#, Go, NVIDIA Jetson. Условия: — Работа в офисе в Сан-Франциско. — Зарплата от $130,000 до $180,000 в год.

Задачи: — строить и оптимизировать решения для потоковой обработки данных в реальном времени в корпоративной среде. Требования: — 4+ года опыта с Java/Scala, Flink (или Beam/Spark Streaming) и Kafka; — глубокие знания событийно-ориентированных и потоковых архитектур; — опыт работы с Docker, Kubernetes, CI/CD и настройкой производительности JVM; — опыт работы с SQL/NoSQL базами данных и устранением неполадок в распределённых системах; — понимание лучших практик безопасности и защиты данных; — опыт работы в банковской сфере или финтехе будет плюсом. Условия: — работа в офисе в Дубае, ОАЭ; — поддержка релокации; — медицинская страховка.

Задачи: — Разрабатывать и выводить в промышленную эксплуатацию решения на базе ИИ, в том числе AI-агентов на базе LLM — Проектировать архитектуру AI-агентов и подходы к их построению — Работать с Deep Learning в части NLP, включая архитектуру Transformer — Делать fine-tuning языковых моделей (GPT-like, BERT-like и др.) — Разрабатывать интеграции с ИТ-системами — Работать с промышленным k8s Требования: — Data Scientist / AI Engineer с коммерческим опытом от 3 лет, который в роли DS/AI Engineer реализовал и вывел в прод решения на базе ИИ, включая AI-агентов на базе LLM — Человек, который одинаково уверенно чувствует себя и в классическом ML, и в глубоком обучении, и в инфраструктуре — Коммерческий опыт работы от 3 лет — Опыт реализации и вывода в промышленную эксплуатацию решений на базе ИИ — обязательно в том числе AI-агентов на базе LLM — в роли Data Scientist / AI Engineer — Знание основ Classic Machine Learning — Хорошее знание Deep Learning (NLP) — Глубокое понимание архитектуры Transformer — Глубокое понимание подходов и методов проектирования AI-агентов — Практический опыт fine-tuning языковых моделей (GPT-like, BERT-like и др.) — Уверенная работа со стеком Python — Torch, Transformers — Опыт разработки интеграций с ИТ-системами — Опыт промышленной работы с k8s

Applied Intuition ищет инженера Forward Deployed Engineer для работы на месте в Саннивейле. В обязанности входит внедрение и интеграция продуктов компании у клиентов, а также решение задач, связанных с программным обеспечением, инфраструктурой, робототехникой и системами. Кандидат должен обладать знаниями и опытом работы с такими технологиями, как Kubernetes, ROS, симуляция, SQLAlchemy, C#, React, Python, Docker, GraphQL, а также навыками работы с инфраструктурой, контейнеризацией, оркестрацией кластеров, API и базами данных. Предлагается зарплата в диапазоне от 130 000 до 158 000 долларов.

Задачи: — мониторинг роботизированных флотов — устранение неполадок в системах — оптимизация рабочих процессов — поддержка операций клиентов

Location: Nuremberg, Germany D-ploy ist ein Unternehmen für IT und Engineering Solutions mit Aufträgen weltweit, einschließlich der Schweiz, Deutschland, Tschechien, Österreich, Großbritannien sowie in den USA. Wir sind stolz darauf, zahlreichen branchenführenden Kunden herausragende, innovative Dienstleistungen anbieten zu können. Durch den Aufbau von Beziehungen und vertauensvollen Partnerschaften innerhalb der IT -Community, optimieren wir die IT -Produktivität unserer Klienten und tragen zum Erfolg und den Werten der Unternehmen bei. Wir suchen engagierte, flexible und lösungsorientierte Persönlichkeiten, die vor Ort in Nürnberg arbeiten und Teil einer dynamisch wachsenden sowie internationalen Organisation werden möchten. Aufgabenbereich First- und Second-Level-Support für IT-Themen (Hardware, Software, mobile Geräte und Peripherie) Erste Ansprechperson vor Ort für Endanwender bei IT-Problemen Bearbeitung von Incidents und Service Requests über ein Ticketsystem (z. B. ServiceNow) Schnelle und professionelle Unterstützung der Nutzer (vor Ort und remote) Sorgfältige Dokumentation aller Vorgänge und Lösungen im Ticketsystem Unterstützung beim IT-Onboarding neuer Mitarbeitender (Einrichtung von Equipment, Einweisung) Pflege und Weiterentwicklung der Wissensdatenbank Mitwirkung an der kontinuierlichen Verbesserung von IT-Services Requirements Fließende Deutsch- und Englischkenntnisse in Wort und Schrift Mindestens 2 Jahre Erfahrung im IT-Support bzw. Onsite-Support Fundierte Kenntnisse im Troubleshooting in Windows-Umgebungen sowie mit gängigen IT-Tools Erfahrung im Umgang mit Ticketsystemen (z. B. ServiceNow) Ausgeprägte Kommunikationsfähigkeit und serviceorientierte Arbeitsweise Selbstständiges Arbeiten in einer kundenorientierten Onsite-Umgebung Strukturierte, zuverlässige und detailorientierte Arbeitsweise Erfahrung in regulierten Umgebungen (z. B. GxP) von Vorteil Möglichkeit zur Vorlage eines aktuellen polizeilichen Führungszeugnisses (nicht älter als 3 Monate) Benefits Breites Spektrum an Tätigkeiten, Aufgaben und Projekten Gutscheine (Geburtstagsgutschein, Hochzeits- und Neugeborenenüberraschung) Edenred Card (gültig in >16.000 Restaurants, Hotels und Tankstellen in Deutschland) Fishing for Friends-Programm – unser Mitarbeiter Empfehlungsprogramm Möglichkeit zur Weiterentwicklung und zum beruflichem Aufstieg Freundliches und internationales Arbeitsumfeld Vom Unternehmen gesponserte Veranstaltungen Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Tashkent, Uzbekistan We are looking for Engineers experienced in Unreal Engine to work on AAA game titles. Join us if you would like to raise your expertise by completing challenging tasks with the help from experts in game development. Being a developer in our company means: Working in different areas (e.g. Gameplay, AI, Engine), making new features and supporting the existing ones. Meeting interesting people from different areas of game development. Supporting different platforms and stores from Sony, Microsoft, Nintendo and others. Participating in architectural decisions, design of new systems and modules, or prototyping new features. Performance optimizations. Going through each stage of the game development pipeline and release of the game. Requirements Commercial experience with C++ and Unreal Engine 4 or 5. Experience with popular subsystems, e.g. Gameplay Ability System, Behavior Trees, UMG. Comprehension of Unreal Engine memory management model. Good understanding of dynamic polymorphism and C++ specific notions. Practical knowledge with Blueprint scripting. Good communication skills and fluent spoken English. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

Location: Astana, Kazakhstan We are looking for Engineers experienced in Unreal Engine to work on AAA game titles. Join us if you would like to raise your expertise by completing challenging tasks with the help from experts in game development. Being a developer in our company means: Working in different areas (e.g. Gameplay, AI, Engine), making new features and supporting the existing ones. Meeting interesting people from different areas of game development. Supporting different platforms and stores from Sony, Microsoft, Nintendo and others. Participating in architectural decisions, design of new systems and modules, or prototyping new features. Performance optimizations. Going through each stage of the game development pipeline and release of the game. Requirements Commercial experience with C++ and Unreal Engine 4 or 5. Experience with popular subsystems, e.g. Gameplay Ability System, Behavior Trees, UMG. Comprehension of Unreal Engine memory management model. Good understanding of dynamic polymorphism and C++ specific notions. Practical knowledge with Blueprint scripting. Good communication skills and fluent spoken English. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

Location: Kazakhstan; Georgia; Serbia; Poland As a Big Data Infrastructure Engineer in the Big Data Platform team, you’ll own the big data infrastructure of our international contour and be its technical lead. You’ll deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. You’ll start by helping run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables. You’ll introduce compute and storage quotas for business units, migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino), and rebuild monitoring and alerting so alerts mean something again. You’ll work closely with an engineer who runs the same stack in a parallel contour. You’ll share approaches and solutions with them and cover for each other. Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools. The role suits an experienced engineer who wants real ownership and a big say in architecture. Requirements 5+ years of experience designing, deploying and operating big data platforms. Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting. Hands-on experience deploying and operating S3-compatible object storage. Apache Ozone is ideal, but MinIO or similar solutions also count. Experience with Apache Iceberg. Experience setting up monitoring and alerting for data infrastructure. English B2. Ability to work in the GMT+3 time zone (up to 3 hours difference). Nice to have Experience with Trino, Kafka or Flink. Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar). Experience setting up resource quotas and cost allocation in a multi-tenant data platform. Hands-on use of AI tools, such as Copilot or agents, to speed up your work. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. A structured onboarding, a personal development plan, and regular internal lectures and demos from the team. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE. Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system. You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations. You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. You will be responsible for: - 🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real-world challenges faced by farmers. - 📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine-learning systems, and pasture science. - 🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development. - 👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field. - 🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas. WHO ARE WE LOOKING FOR. - You are a high-output generalist: You will be required to work with autonomy across infrastructure, databases, simulation, and ML development. You will be restless with respect to advancing your own impact across the stack, leveraging AI companion tools and agents. - You are a machine learning expert: You will be joining a highly capable team of technologists with deep experience in machine learning and complex systems. You will be required to provide extra strength in machine-learning theory, and its application to maximizing pasture efficiency. - You have experience delivering highly complex predictive systems at the bleeding edge of research: Experience translating academic research into practical applications that add value to the world. You may be required to work on a range of problem-sets, from multi modal time-series modelling, to simulation systems.You are deeply curious and willing to become an expert in pasture-based farming.  - Our farmers expect us to know farming as well as they do, understand why they do what they do, and identify where they can do it better. Curiosity beyond technology and into the agricultural domain will be a strong motivation for you. - You are a product-minded, strategic thinker: Halter is in the enviable position of possessing an immense depth of farm-data. You will be adept at mapping opportunities across our data-lake to systems that add positive value to farmers and ranchers. - You embrace uncertainty and ambiguity: Uncertainty is intrinsic in the ambition of our team and company. We take big, calculated strides, and we embrace the challenge to do so.You are a highly effective collaborator and incredible teammate. MORE CONCRETELY: - You have a deep academic and/or professional background applying machine learning to solve real-world problems (e.g. a research oriented postgraduate degree in mathematics or computer science, with relevance to modelling with deep neural networks) - Demonstrated experience designing, deploying, and monitoring machine learning systems to productionStrong causal reasoning and an ability to design models that reflect real-world dynamicsStrong data intuition and ability to work with noisy, high volume, high-dimensional datasets - Fluency in Python and experience contributing to or working on complex, collaborative codebasesProficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code) - Excellent communication skills and a collaborative working style across disciplines - Some experience in advanced ML architectures (Transformers or SSM), agent-based systems or recommendation systems is a plus, but not required. OUR OFFICE FIRST APPROACH. There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Требования: — Опыт MLOps от 4 лет — Уверенное владение Python и SQL — Понимание полного жизненного цикла машинного обучения — Опыт с ML-пайплайнами, деплоем моделей, CI/CD и мониторингом в продакшене

Location: Poland; United States; Germany; United Kingdom; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs. You'll work at the frontier of audio AI, shaping the models behind products used by millions of people. You will thrive in this role if you enjoy: - Training state-of-the-art models - across any modality. - Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms. - Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally you bring: - 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models. - Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work. - Experience conducting exploratory research to improve the quality of gathered data. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Требования: — Опыт в финтехе будет большим плюсом О компании: Создаем и развиваем ML-продукты и аналитические решения для кредитного и страхового рынка.

Требования: — Свободный английский язык Важно: — релокация в Оман