As a Distinguished Architect, AI, you will be a technical multiplier for leading AI labs and AI-native companies, bridging their infrastructure aspirations with Datadog's technology roadmap. You will ensure the platform solves unique observability challenges for training and deploying foundational models at scale.

Viam is seeking a Lead Software Engineer to lead the Data/ML team, owning technical direction, architecture, and delivery. This hands-on role involves managing a team of 5+ engineers, writing code, and driving the reliability and performance of ML training and inference infrastructure.

This role focuses on advancing how OpenAI builds and understands pretraining data at scale. The individual will treat data quality and curation as core research problems, developing new methods to select, combine, and transform data to improve model capabilities.

OpenAI is seeking a Research Engineer/Research Scientist to advance how the company prepares, curates, synthesizes, and understands multimodal data at scale. This role involves working on research and production problems related to synthesizing multimodal content, improving data pipelines, and building quality filters.

Build and maintain production software for a growth data platform, including AI-powered clinical agents, agentic workflows, observability, and retrieval systems. The role requires strong Node.js and TypeScript experience, production delivery skills, and hands-on LLM application development.

As Head of Data, you will lead the data function end-to-end, shaping strategy, building data pipelines, and driving product and business decisions. You will also build and lead a small, high-leverage team, pushing the boundaries of AI tooling.

As a Data Engineer, you will build and maintain data pipelines, dbt models, and infrastructure on AWS and Snowflake. You will partner with BI/Analytics Engineering, take operational responsibility, and mentor junior team members.

As a Quantitative Trading Strategist, you will leverage deep market knowledge and quantitative skills to enhance systematic trading strategies, focusing on algorithmic execution, securities lending, and portfolio financing across various asset classes.

As a Staff Applied Scientist, you will define and build measurement systems for AI agent interfaces at Datadog, focusing on evaluation strategy, metric definition, and dataset creation to improve agent performance on customer workflows.

As an AI Engineer, you will build and deploy AI-powered solutions to drive business outcomes across Sales, Marketing, and Customer Support. This role requires strong engineering skills, systems thinking, and a product mindset to own initiatives from discovery to deployment.

As a Member of the Technical Staff, you will be a Software Engineer specializing in PDF processing and document understanding workflows. You will be responsible for building, scaling, and refining Python-based application code, ensuring fast and efficient PDF processing, and managing ML operations and quality.

As a Member of the Technical Staff, you will build consumer-facing chat agents that serve as the frontend to complex workflows. This role requires strong Python ability, user empathy, and a metrics-driven approach to understanding and improving chat agent quality.

As an Open-Source Machine Learning Engineer, you will enhance the open-source machine learning ecosystem, focusing on libraries like Transformers and PyTorch. You will collaborate with the ML community, contributing to and supporting the tools you build.

Build and improve open-source machine learning libraries while collaborating with researchers, practitioners, users, and contributors. The role requires strong Python, deep-learning framework experience, practical familiarity with the Hugging Face ecosystem, and a public record of open-source contributions.

Drive ML performance optimization initiatives to make autonomous driving models faster and more efficient using distributed training, quantization, distillation, and profiling tools.

Senior or Staff Computer Vision Engineer building production 3D reconstruction systems from real-world sensor data. Owns full lifecycle from research to deployment of CV/ML models for accurate property digital twins.

Healthcare-focused Data and Business Analyst responsible for building Metabase dashboards, analyzing clinical/financial healthcare data, and supporting sales and client implementations of the Prompt BI platform.

Build and deploy production-grade LLM applications and AI agents for enterprise customers, from architecture through production. The role requires at least three years of software engineering experience, strong Python or TypeScript skills, and hands-on experience with AI workflows and production systems.

Lead research on pCTR and conversion models for Instacart Ads. Tackle bias mitigation, calibration, multi-task learning, and generative retrieval systems. Requires 6+ years ML experience and advanced degree.

Convex is seeking a Software Engineer to build and architect their AI platform, focusing on creating seamless agentic development experiences. This role involves working across APIs, plugins, and AI framework integrations, identifying gaps, and prioritizing projects to enhance the platform.

Lead a 3-person data team to own attribution, experimentation, LTV/CAC, segmentation, and forecasting. Partner directly with executives on capital allocation and GTM decisions.

Lead end-to-end analytics projects and experimentation initiatives, partnering with product leaders to measure impact, define metrics, and drive data-informed decisions. Requires 7+ years experience, strong statistical and causal inference skills, Python/R, SQL, and excellent communication abilities.

Lead the Evaluation Infrastructure team building metrics, evaluation pipelines, and validation platforms for autonomous vehicle safety and iteration. Requires 4+ years experience in distributed systems and ML evaluation, plus strong Python/C++ skills and AI-native engineering practices.

Lead marketing measurement and experimentation for Instacart. Own MMM, MTA, incrementality testing, predictive modeling, and dashboards to guide multi-million dollar marketing investments.

Conduct frontier AI research on LLMs, embedding models, and rerankers for RAG and semantic search. Requires PhD in CS or related field plus strong publication record in top ML venues.

Build and ship AI-powered capabilities that improve workflow creation, including code generation, intelligent node creation, and workflow optimization. The role requires 5+ years building web products, strong TypeScript and Node.js skills, and production experience with LLM APIs and AI systems.

Senior Software Engineer applying ML/AI techniques to fintech problems like fraud detection and user conversion. Requires 5+ years backend engineering (Java/JVM) and 2+ years deploying production ML models.

As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.

Staff Engineer leading foundational backend, distributed data, and ML infrastructure for Spotify’s multimodal content intelligence systems. The role requires extensive large-scale systems experience, strong Java, Python, or Scala skills, and experience delivering AI- and LLM-enabled products.

Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.

Build and optimize distributed LLM inference systems at scale using Ray, integrating with engines like vLLM to deliver high-throughput, low-latency batch and online inference solutions.

Research intern supporting cutting-edge work in humanoid robotics, robotic simulation, RL training, and human data processing for next-generation physical AI systems. Requires current PhD or MSc studies in ML, computer vision/graphics, or robotics.

Research intern developing world-action foundation models for robotics and simulation, working on vision-physics integration, Gaussian splatting, and related areas for publication at top conferences.

Research intern focused on reinforcement learning for autonomous driving and robotics. Current PhD or MSc student in ML, CV, or robotics conducting novel RL research and publishing at top-tier conferences.

Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.

Research intern developing 3D vision and generation models (foundation models, Gaussian splatting, multi-modal pretraining) for autonomous driving and robotics. Requires current PhD/MSc studies in ML, CV/graphics, or robotics.

Senior Data Scientist building data-driven products and product analytics at Databricks. Works with PM, Sales, and CS stakeholders on usage forecasting and funnel analysis; mentors junior data scientists.

Build and scale the infrastructure, data pipelines, and MLOps workflows supporting deep-learning training and deployment for autonomous drones. The role requires hands-on data engineering, cloud ML platforms, containerization, databases, and end-to-end software lifecycle experience.

Build, train, optimize, and deploy computer vision and multimodal deep learning models for an autonomous flight system. The role requires hands-on deep learning experience, strong Python/PyTorch skills, and an advanced degree in computer science, electrical engineering, or a related field.

Builds and scales infrastructure for deep-learning and computer-vision systems, including optimized edge inference, MLOps pipelines, GPU kernels, and deployment SDKs. The role requires hands-on experience with ML infrastructure, inference optimization, computer vision, and end-to-end model lifecycle management.

Develops and deploys real-time deep learning and computer vision systems for autonomous drones, including detection, tracking, segmentation, optical flow, and scene understanding. The role requires hands-on neural network development, dataset curation, Python or C++, and optimization for embedded hardware.

Senior Data Analyst to own data models, ensure analytics quality, and deliver insights for a consumer fintech. Requires 5+ years analytics experience and 2-3 years in fintech with advanced SQL, dbt, Looker, and Python.

Build and deploy production-grade agentic AI systems and automation workflows that drive efficiency across sales, marketing, finance, and other business functions. Partner with stakeholders to identify high-impact use cases and deliver reliable, observable LLM-powered solutions.

Build ML models and decision systems for search, ranking, candidate-job matching, and marketplace optimization at a fast-growing AI talent platform.

Staff Analytics Engineer building and maintaining a scalable analytics layer powering strategic analytics, operations, and reporting at a healthcare marketplace.

Founding Data Lead building analytics from scratch at a stablecoin infrastructure startup. Own metrics, dashboards, and customer insights across onchain, product, and financial data.

As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.

Lead technical strategy and development of Plaid’s financial foundation models as a Staff ML Engineer. Own full ML lifecycle from pretraining and data curation to production serving, evaluation, and cross-team integration while mentoring engineers and setting technical standards.

Lead end-to-end data science projects spanning growth experiments, repayment forecasting models, and data infrastructure. Build ML models, design metrics, and partner cross-functionally to expand responsible access to capital.

Conduct advanced SQL-based data analysis and build fraud rulesets to detect and mitigate complex transaction fraud across payments and e-commerce. Collaborate with product, data science, and operations teams to implement risk controls and reduce fraud losses.