Lead the design, build, and operation of multi-agent AI systems from prototypes to production, owning architecture, reliability, and performance for consumer AI products. Requires strong production experience with LLM-powered systems, agentic workflows, and backend engineering.

Develop and enhance TypeScript-based AI SDK for building AI-native products and agents. Collaborate with distributed engineering team; requires 5+ years experience in JavaScript/TypeScript and open source contributions.

Search machine learning intern contributing to retrieval, ranking, classification, and RAG systems that improve search quality. Requires machine-learning foundations, Python project experience, and enrollment at a Serbian university or equivalent demonstrated software-engineering ability.

Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.

Build and ship full-stack AI projects including AI agents, RAG, structured extraction, and LLM infrastructure. Requires proficiency in full-stack development, backend systems, cloud infrastructure, and production LLM experience.

Builds scalable ML systems and end-to-end pipelines for fraud detection, anomaly detection, and real-time decisioning in payments. Requires 5+ years ML production experience, including 2+ in fraud/risk, Python proficiency, and ML frameworks like PyTorch/TensorFlow.

Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.

Develops novel reinforcement learning techniques using synthetic environments and feedback to enhance large-scale AI models. Designs experiments, analyzes dynamics, and integrates research into production systems; requires strong RL/ML background and engineering skills.

Research Engineer develops and experiments with multimodal world models, focusing on data strategies, training techniques, evaluations, and production deployment for AI simulation technologies. Requires 4+ years in ML research/engineering and proficiency in PyTorch or JAX.

Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.

Designs and builds scalable backend systems and applies machine learning to address safety, integrity, and Generative AI risks. Requires 8+ years backend experience, ML expertise, and distributed systems knowledge.

Designs, builds, and deploys custom AI agents for enterprise customers, providing hands-on technical support, troubleshooting, and acting as technical account manager. Requires 3+ years customer-facing experience and expertise in Python, AWS, SQL, and AI agent frameworks like LangChain and CrewAI.

Designs and builds AI agents, workflows, and evaluation systems for enterprise audit platforms. Requires experience shipping production software with TypeScript, React, Python, Postgres, LLMs, RAG, and agent orchestration.

Builds performance benchmarking, diagnostic, and optimization tools for LLM inference on GPU clusters. Early-career role requiring Python proficiency, systems curiosity, and interest in AI hardware—no prior experience needed.

Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.

Designs, builds, and deploys production-grade AI agents using LLMs for enterprise workflows. Collaborates with customers to solve business problems, ensures reliability, and mentors teams on agentic architectures.

Senior Data Scientist builds fraud detection models and financial risk products, handling full lifecycle from data acquisition to production code. Requires 4+ years experience (or advanced degree), strong ML/stats skills, and production coding ability.

Builds and deploys end-to-end AI/ML systems, including LLM workflows and rapid prototypes for internal tools and product features in healthcare. Requires 4+ years experience, strong full-stack skills, evaluation/monitoring expertise, and Python proficiency.

Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and bachelor's degree.

Build and maintain scalable ML platform for model experimentation, training, evaluation, inference, and feature store to power underwriting products. Requires 5+ years experience with Python, ML stacks like Databricks/AWS, and MLOps systems.

Build and optimize scalable data infrastructure and ETL/ELT pipelines supporting a Search API. The role requires 3+ years of data engineering experience, Python, SQL and NoSQL expertise, AWS experience, and a quantitative bachelor's degree.

Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.

Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.

Builds sophisticated AI agent products for investigating financial crimes, leads technical designs and teams. Requires 4-10 years experience in software development, Python, cloud infrastructure, and hybrid SF Bay Area work.

Intern on the Energy Markets team building quantitative risk models, Monte Carlo simulations, and automated tooling to price and risk-weight capacity positions in wholesale energy markets. Requires graduate-level quantitative background, strong programming skills, and demonstrated interest in capacity markets.

Owns the semantic and modeling layer of the data warehouse by transforming raw data into trustworthy datasets, reusable metrics, and documented data contracts. The role partners with domain and platform teams to support self-service analytics and efficient warehouse operations.

Architects and builds massive-scale data infrastructure for web crawling, embedding model training, and real-time search, handling hundreds of petabytes. Requires expertise in lakehouse architectures, distributed processing pipelines, and streaming systems like Kafka and Flink.

Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.

Leads design and development of scalable, real-time API and data infrastructure for AI model evaluations, processing large-scale event streams with low latency. Requires 5+ years in infrastructure or ML systems, expertise in distributed systems, stream processing, and backend architecture.

Build and scale data pipelines to process millions of user votes for AI model evaluation. Partner with researchers to deliver insights via dashboards, ensuring data quality and reliability in a fast-paced environment. Requires 5+ years in data engineering with big data tools.

Leads open-source ML research by designing experiments, developing evaluation methodologies, analyzing preference data, and releasing datasets/code to advance AI model transparency. Requires PhD-level expertise in ML/LLMs and hands-on experience with RLHF/DPO fine-tuning.

Designs and conducts experiments to evaluate AI models using human preference data, develops new metrics and methodologies, and analyzes large-scale interaction data to advance model reliability and alignment.

Builds and optimizes ML backend systems for recommendation, ranking, and search in a fast-growing AI consumer app. Requires 5+ years experience, CS bachelor's, ML frameworks like PyTorch/TensorFlow, cloud infra, and modern typed languages.

Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.

Develops ML models using imitation and reinforcement learning for agent behavior prediction and autonomous vehicle planning. Requires PhD +1 year or MSc +5 years experience, expertise in RL, transformers, and production ML pipelines.

Builds personalization and recommendation systems from scratch for AI creative tools, modeling user taste and curating feeds. Designs algorithms for generative models to adapt to individual aesthetics, using ML frameworks like PyTorch/JAX.

Builds and deploys AI primitives and agents to automate workflows and enhance user experiences in investment management platform. Requires AI agent experience, distributed systems knowledge, and product-minded engineering across tech stacks.

Designs, trains, and deploys deep learning models for drone autonomy, focusing on computer vision tasks like optical flow, depth estimation, detection, and path planning using real-world and synthetic data. Requires MS/PhD, hands-on DL experience, and PyTorch/Python/C++ proficiency.

Builds and scales deep learning infrastructure for autonomous drone computer vision workloads, optimizing inference for high throughput/low latency across hardware, and implements MLOps pipelines for model deployment and monitoring. Requires hands-on MLOps, DL/CV expertise, and ML pipeline experience.

Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.

Develops and optimizes deep learning inference infrastructure for real-time computer vision workloads on drones, focusing on high-throughput, low-latency performance across hardware platforms. Builds MLOps workflows, GPU kernels, and SDKs; requires strong DL, CV, and ML pipeline expertise.

This role designs data collection and evaluation processes, analyzes dataset quality and model robustness, and trains large language models on distributed infrastructure. It requires strong software engineering, statistics, experimental design, machine learning, and cross-functional communication skills.

Builds and scales data pipelines, models, and integrations to provide real-time insights for product, engineering, finance, and GTM teams. Requires 4+ years experience with SQL, Python/JavaScript, dbt/Airflow, and data architecture.

Analyzes user behavior, models campaign outcomes, runs experiments, and builds data/ML pipelines to optimize creator ad matching, pricing, and attribution in a high-growth adtech platform. Applies analytical methods to big data for product and business decisions.

Build and scale data ingestion pipelines and connectors for enterprise SaaS apps, transform unstructured data for AI search and agents, ensure reliability and security at petabyte scale. Requires 3+ years backend/data infrastructure experience with distributed systems.

Builds and improves AI agents for complex accounting tasks, working across product engineering, agent platforms, infrastructure, and data systems at the frontier of applied ML. Requires strong systems thinking, ownership, and excitement for coding agents in a fast-changing environment.

Develops quantitative models for portfolio optimization, fixed income relative value, risk estimation, and AI agents for credit research and portfolio management at a fintech platform. Requires Python coding, quant background, and bachelor's/PhD in math-related field.

Senior Software Engineer building autonomous AI agents for sales workflows (prospecting, outreach, follow-ups). Requires 5+ years experience, production AI agent experience, high agency, and stack familiarity with React, TypeScript, Node.js, Python. Hybrid role with customer collaboration.

Design, train, and integrate ML models for semantic map element detection in autonomous vehicles. Requires 5+ years experience, MS/PhD in CS, expertise in computer vision, deep learning, and PyTorch.

Research and develop improvements to pre-trained models for deployment in ChatGPT and API using reinforcement learning and product-driven approaches. Requires strong ML engineering, research experience with novel models, and ability to debug large codebases.