Вакансии

Location: Москва О нас: Мы команда Цифрового Ассистента B2C. Мы создаем продукт, который ежедневно помогает десяткам миллионов наших клиентов на новом уровне пользоваться услугами и продуктами Банка и Экосистемы. Сейчас наша команда разрабатывает новый функционал, позволяющий клиентам решать не только повседневные, но и более сложные комплексные задачи и цели, которые могут состоять из множества взаимосвязанных шагов и быть распределенными во времени. Для решения задачи в нашем распоряжении цифровая платформа и широкий набор инструментов, представленных мультиагентной системой на основе LLM GigaChat, интегрированной со множеством банковских сервисов. Мы предлагаем: ·      Возможность создавать и развивать инновационный продукт, использующий передовые технологии и задающий тренды в отрасли. ·      Работу в кросс-функциональной команде сильных специалистов. ·      Широкое пространство для развития и реализации ваших идей и экспертизы. ·      Современный технологический стек и развитая IT-инфраструктура. Обязанности * Проектирование и разработка новых платформенных инструментов и агентов и расширение функционала существующих * Проведение глубокого анализа данных и пользовательских сценариев мультиагентной системы, проработка функциональных требований к новым специализированным агентам. * Разработка и улучшение платформенных механизмов, таких как система роутинга, оркестрации, планирования, управления контекстом и памятью, извлечения инсайтов. * Разработка комплексной системы метрик качества как отдельных компонентов системы, так целых компонентов системы. * Создание пайплайнов автоматизации мониторинга и визуализации метрик, в том числе с применением подхода LLM-as-a-Judge. Требования ·      Высшее техническое или математическое образование. ·      Опыт в сфере машинного обучения и анализа данных от трех лет. ·      Глубокое понимание принципов работы и архитектур LLM, NLP и классических ML-алгоритмов, знание математической статистики и теории вероятностей. ·      Владение на высоком уровне основными инструментами и фреймворками для ML разработки, аналитики и обработки больших данных, работы с LLM агентами (pandas, numpy, sklearn, pytorch, langchain, langgraph, pyspark) ·      Уверенные практические навыки работы с LLM и промпт-инжениринга. ·      Понимание принципов построения промышленных микросервисных архитектур, мультиагентных систем и LLM-приложений. Условия ·      Гибридный режим работы, комфортный современный офис на м. Кутузовская. ·      Ежегодный пересмотр зарплаты, годовая премия. ·      Корпоративный спортзал и зоны отдыха. ·      Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития. ·      Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа. ·      Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. ·      Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров. ·      Вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Разрабатывать и внедрять ML-модели в областях Computer Vision и NLP. — Развёртывать и оптимизировать inference-пайплайны на GPU-серверах. — Работать над мультимодальными AI-фичами (текст, изображения, видео, аудио). — Масштабировать производительность моделей под растущую базу пользователей. — Сотрудничать с backend-инженерами над продакшн-API. — Проводить эксперименты и A/B-тесты на основе реальных пользовательских данных. Требования: — 5+ лет практического опыта в ML/AI-разработке. — Отличное знание Python и фреймворков PyTorch / TensorFlow. — Глубокое понимание NLP (LLMs, embeddings, transformers) и CV (image generation, diffusion models, video processing). — Опыт работы с GPU-обучением и inference. — Навыки оптимизации моделей (quantization, distillation, batching, caching). — Опыт продакшн-деплоя ML-сервисов. — Будет плюсом: опыт работы с видео-AI моделями, понимание high-load inference систем, опыт с ML-мониторингом и аналитикой (Weights & Biases, MLflow, Grafana), опыт в сфере conversational AI или чатботов, участие в open-source, Kaggle или публикации в ML-сообществе. Условия: — Работа в международной продуктовой компании. — Гибкий график и удалённый формат. — Возможность влиять на ключевые продуктовые решения.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Доработка алгоритмов CV/ML — Разработка и поддержка бэкенда — Разработка фронтенда (минимально) — Рефакторинг и оптимизация кодовой базы — Участие в полном цикле разработки: обсуждение, реализация, тестирование, запуск в продакшн Требования: — Уровень: Senior (коммерческий опыт от 5 лет) — Python (Core): глубокое знание языка и экосистемы — Computer Vision (CV): практический опыт с OpenCV и другими библиотеками для обработки изображений/видео, понимание технологий, наличие минимального опыта — Machine Learning (ML): опыт работы с фреймворками (TensorFlow, PyTorch или аналогами) для задач классификации, детекции, трекинга — Backend (Node.js): уверенное владение Node.js и фреймворками (Express.js, Nest.js) (желательно, но не критично) — Базы данных: опыт работы с реляционными (PostgreSQL) и/или NoSQL (MongoDB) СУБД — Git: уверенное владение системой контроля версий — Желательно: опыт работы с видеопотоками (RTSP-протокол), Frontend (JavaScript) с Vue, Docker и основы DevOps, понимание принципов работы message brokers (RabbitMQ, Kafka), опыт оптимизации кода и ML-моделей для работы в реальном времени, опыт работы с Kubernetes Условия: — Оформление: ТД / ИП / СЗ — Полная занятость — Работа над проектом по системе AI видеоаналитики — Стек: FastAPI, ONNX Runtime / TensorRT, OpenCV, FFmpeg, MS, Meta, MLflow, Docker, Docker Compose (лучше кубы), YOLO, ResNet, MobileNet, ONNX, MLflow, NMS (Non-Maximum Suppression), JSON, Webhook или очереди, queue, threading/asyncio, REST API, оценка качества (loss, accuracy, confusion matrix и др) — Будет плюсом наличие собственных моделей, пригодных к дообучению под задачи проекта.

Задачи: — Разработка и оптимизация моделей для обработки/генерации звука. Требования: — Минимум 3 года работы в разработке и оптимизации моделей для обработки/генерации звука; — Глубокие знания в области DL и ML; — Опыт работы с инструментами и библиотеками TensorFlow, TensorRT, Triton (NVidia), PyTorch, Hugging Face; — Умение работать в команде и проактивная позиция; — Знание архитектуры моделей (Transformers, RNN и др.); — Опыт работы с большими данными и основами обработки данных; — Умение оптимизировать модель и проводить её оценку (A/B тестирование, метрики качества). Желательно: — Опыт работы над задачами speech enhancement, noise cancellation, tts, asr. Условия: — Оформление: Только ИП.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Solutions Engineer in our NYC headquarters. As a Senior Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands-on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You - You excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). - You have 3+ years of hands-on experience writing production Python code - You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. - You are able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations. You excel at managing multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close - You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. - You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. - You have a proven track record of supporting high-contract-value enterprise deals. You understand that winning an enterprise deal requires more than just good code—it requires strategic positioning, deep discovery, and the ability to handle complex technical objections. - You are open to a hybrid work model and can work from our NYC office at least three days per week. What You'll Do - You discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership. - You lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows. - You collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform. - You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives. - You work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy. - You create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. - You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required - Live for Customer Value: You have at least 3-5 years of experience working within Enterprise Solution/ Sales Engineering in B2B SaaS, or in a senior technical consulting role - Technical expertise: You have a general understanding of REST APIs (design, integration, authentication) - You have experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings - Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. - You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers - You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Make an impact and meaningfully shape an early-stage company - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com https://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE TEAM The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. WHAT YOU’LL DO - Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis - Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring - Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams - Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) - Build robust monitoring and alerting for model performance, latency, data quality, and drift - Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases - Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle - Partner with platform teams to meet strict SLAs for availability, latency, and accuracy - Collaborate closely with talented engineers, data scientist and compliance teams across Rain - Work in a fast-paced environment on a rapidly growing product suite - Solve complex problems at the intersection of ML systems, data, and reliability WHAT WE'RE LOOKING FOR - 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains - A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Proven track record designing and maintaining ML models at scale - Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) - Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling - Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems - Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques - Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale NICE TO HAVE, BUT NOT MANDATORY - Domain expertise in banking, payments, or transaction monitoring - Experience with graph-based or network-level fraud detection techniques - A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) - Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. WHAT YOU’LL DO - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward WHAT YOU’LL NEED - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES - Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). - DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. - Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. - System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. - Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. - Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack. - Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload. REQUIREMENTS This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have: - A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster. - An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system. - Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements. - Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have. WHY THIS ROLE - Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers. - Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess. - High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to  improve Figma’s products. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems Build evaluation systems to measure and improve quality of AI features in Figma products We'd love to hear from you if you have: Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) Experience communicating and working across functions to drive solutions While not required, It’s an added plus if you also have: Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision Experience in mentoring/influencing senior engineers across organizations Expertise working on large scale and distributed AI training At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London; San Francisco; New York; Paris; Toronto; 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! Role Overview: As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: - Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. - Develop and apply statistical methods to evaluate the quality and reliability of datasets. - Analyse and assess the generalisability and robustness of ML systems across diverse use cases. - Collaborate with teams to improve dataset quality and model performance. - Train and fine-tune large language models (LLMs) on distributed training infrastructures. - Conduct experiments to evaluate model performance and identify areas for improvement. Qualifications: - Extremely strong software engineering skills. - Strong expertise in designing and conducting data collection tasks, including working with human annotators. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on experience training large language models (LLMs) on distributed training infrastructures. - Familiarity with evaluating and improving the generalisability and robustness of ML systems. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Excellent communication skills to collaborate effectively with cross-functional teams and present findings. - One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. We are now expanding our data capabilities and seeking an experienced Chief Data Science Officer to lead and scale our Data Science UA team function in Barcelona. This role is ideal for a leader with a strong technical background, excellent people-management skills, and the ability to turn data into actionable, high-impact product and business outcomes. Role Overview: Chief Data Science Officer will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high-quality insights and predictive capabilities. You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision-making across the ecosystem. This is a strategic and hands-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence. Key Responsibilities: Leadership & Strategy Lead and scale the Data Science function across the organization. Translate business and product goals into clear DS/ML initiatives and execution plans. Build and promote a strong data-driven culture across all teams. Applied Data Science & ML. Oversee development, deployment, and monitoring of ML models across Appodeal’s product and monetization ecosystem. Guide experimentation, modeling, uplift measurement, and algorithmic optimization. Ensure model quality, reliability, fairness, and performance at scale. Collaboration & Stakeholder Management. Partner with Product and Engineering teams to integrate Data Science into product roadmaps. Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights. Communicate DS outcomes, metrics, and recommendations to leadership. Team Leadership Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists. Foster knowledge sharing, best practices, experimentation, and continuous improvement. Drive hiring, talent development, and team structure optimization. Data Infrastructure & Governance Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows. Improve data quality, observability, and governance standards. Qualifications: Education Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus). Experience 5+ years of experience in Data Science, Machine Learning, or Applied Analytics. 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar). Demonstrated experience building and leading Data Science teams. Proven track record of delivering DS/ML solutions with real business impact. Technical Skills Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis. Hands-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and analytics tooling. Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams. Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus. Leadership & Soft Skills Excellent stakeholder management and communication skills. Ability to translate technical concepts into business language. Strong decision-making and prioritization abilities. Passion for mentoring, coaching, and building high-performing teams. What We Offer: Opportunity to build and lead the Data Science function of a global product company. Direct influence on product roadmap and business outcomes. Collaborative and international team environment. Competitive compensation package and growth opportunities. A chance to shape the future of mobile app monetization. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: United Kindom, United Kingdom; Amsterdam, Netherlands; Buenos Aires, Argentina; Athens, Greece; Bangalore, India; Chittagong, Bangladesh; Dhaka, Bangladesh; Barcelona, Spain; Belize; Bogotá, Colombia; La Paz, Bolivia, Plurinational State of; Brasilia, Brazil; Brussels, Belgium; Cairo, Egypt; Chiasso, Switzerland; Santiago de Chile, Chile; Como, Italy; San Jose, Costa Rica; Zagreb, Croatia; Prague, Czechia; Delhi, India; Copenhagen, Denmark; Santo Domingo, Dominican Republic; Dubai, United Arab Emirates; Dublin, Ireland; Quito, Ecuador; Addis Ababa, Ethiopia; Helsinki, Finland; Accra, Ghana; Guatemala; Jakarta, Indonesia; Tel Aviv, Israel; Madrid, Spain; Lugano, Switzerland; Johor Bahru, Malaysia; Kuala Lumpur, Malaysia; Sliema, Malta; Manila, Philippines; Medellin, Colombia; Mexico City, Mexico; Milano, Italy; Montevideo, Uruguay; Nairobi, Kenya; Kathmandu, Nepal; Auckland, New Zealand; Wellington, New Zealand; Managua, Nicaragua; Lagos, Nigeria; Oslo, Norway; Islamabad, Pakistan; Panamá, Panama; Lima, Peru; Warsaw, Poland; Lisbon, Portugal; Rabat, Morocco; Rio de Janeiro, Brazil; Bucharest, Romania; Rome, Italy; San Salvador, El Salvador; Sao Paulo, Brazil; Riyadh, Saudi Arabia; Edinburgh, United Kingdom; Belgrade, Serbia; Sofia, Bulgaria; Colombo, Sri Lanka; Stockholm, Sweden; Berne, Switzerland; Geneve, Switzerland; Taipei, Taiwan; Tallinn, Estonia; Tbilisi, Georgia; Bangkok, Thailand; Abu Dhabi, United Arab Emirates; Hanoi, Vietnam; Yerevan, Armenia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are looking for talented individuals to join us for an internship in 2025/2026. MSc/PhD Internships at Tether aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. In our team, you will have the opportunity to participate in the development of the state-of-the-art (SOTA) foundation models, and will also be responsible for optimizing our distributed model training framework continuously. PhD internships at Tether provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis. We encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in the domains. Implement the application of large models in our business scenarios, like pre-training, supervised fine-tuning, post-training, inference etc. Continuously optimize the training framework to better adapt to the training of large models on thousands of multi-node GPUs. In this role, you’ll have the opportunity to advance the development of open-source LLM, vision and/or multimodal foundation models and products. You will have the opportunity to collaborate with broader teams across Tether. MSc/PhD candidate in computer science or a related technical discipline Related Research Experience at least one of the following areas: LLM, computer vision, multimodality Be proficient with PyTorch deep learning framework and libraries Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills Publications in the top AI conferences (e.g., ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a nice to have. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: São Paulo Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies. As a Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. As a Senior Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands-on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You - You excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). - You have 3+ years of hands-on experience writing production Python code - You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. - You are able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations. You excel at managing multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close - You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. - You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. - You have a proven track record of supporting high-contract-value enterprise deals. You understand that winning an enterprise deal requires more than just good code—it requires strategic positioning, deep discovery, and the ability to handle complex technical objections. What You'll Do - You discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership. - You lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows. - You collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform. - You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives. - You work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy. - You create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. - You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required - Live for Customer Value: You have at least 3-10 years of experience working within Enterprise Solution/ Sales Engineering in B2B SaaS, or in a senior technical consulting role - Technical expertise: You have a general understanding of REST APIs (design, integration, authentication) - You have experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings - Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. - You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers - You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Make an impact and meaningfully shape an early-stage company - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.