Machine Learning Jobs

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking top Research Scientists to advance the field of intelligent machines for autonomous vehicles, robotics, and physical AI. This role focuses on fundamental research challenges, including developing new training paradigms, ensuring safety and reliability in critical applications, enabling navigation in novel environments, and building systems that reason and interact safely with humans and other agents. Researchers are encouraged to publish their work and contribute to open-source projects, collaborating with internal product teams and external researchers to influence real-world products while pursuing groundbreaking research.

$168k - $265k

Anthropic

As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will serve as the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude. This involves advising on architecture design decisions, developing evaluation frameworks, and guiding them through cutting-edge implementation patterns for LLMs. You will combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining Anthropic's high standards for safety and reliability.

$280k - $320k

Snorkel AI is seeking a Research Scientist to advance the creation of high-quality data and environments for AI agents. You will build and optimize pipelines that integrate real-world data, automated generation, and human expert input. Collaborating with domain experts, academic partners, customers, and internal teams, you will scale these pipelines to address frontier model performance gaps and enhance data and environment diversity. Your work will empower human knowledge and judgment, enabling experts to refine data and agentic environments, solidifying Snorkel's position as a leader in frontier data solutions. This role is perfect for individuals passionate about advancing frontier AI through data and environment creation, and who enjoy translating research into scalable, reusable systems.

$200k - $375k

We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.

$185k - $260k

Synthesia is seeking a Staff Research Scientist to join their R&D department, focusing on the frontier of generative AI, specifically avatar-centric, interactive video diffusion models. This role involves building AI models capable of natural, real-time conversations, understanding user input (audio and video), and generating appropriate human-like reactions. The team operates in a fast-paced environment, translating cutting-edge research into tangible product features. This is a unique opportunity for experts in machine learning and diffusion models to significantly influence the future of AI video agents.

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack, giving us the freedom to develop new approaches across models, agent harnesses, and search infrastructure to use search more effectively, design tools and execution environments around learned behavior, and improve retrieval to support how agents actually work.

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$133k - $186k

Databricks

Databricks is seeking a Senior Developer Advocate for AI and Machine Learning to be the voice of the company within the Bay Area AI community. This role serves as a critical link between Databricks' engineering teams and the global community of data scientists and AI engineers. The ideal candidate is a hands-on practitioner in generative AI, agents, and MLOps, passionate about enabling others to build, evaluate, govern, and ship agentic systems on the Databricks Data + AI Platform. You will translate community insights into production-ready reference implementations, demos, and content, fostering genuine relationships with AI practitioners and influencing product roadmaps.

$149k - $205k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the global tolling industry and operate with a lean, growing team. This role is for an engineer who is passionate about taking machine learning models from development to reliable production environments. You will be responsible for the infrastructure, deployment, and monitoring that ensures models are accurate and performant in real-world applications, processing millions of images daily.

$150k - $195k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on solving complex problems for self-driving cars. We are seeking experienced Machine Learning Engineers with expertise in computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. The role involves inventing human-level AI for perception under real-world conditions, contributing to a defining technological advancement of our generation.

$184k - $357k

Accenture

Accenture Industry X is seeking an experienced Machine Learning Architect to join their Automotive Engineering team. This role will contribute to the development of next-generation intelligent vehicle solutions by designing and implementing Machine Learning architectures for automotive software platforms. The team focuses on shaping a future-looking Software-Defined Vehicle Platform that unifies various operating systems into a powerful developer ecosystem, driving innovation in ADAS and Infotainment.

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. The Applied Research team focuses on enhancing the quality, speed, and cost-efficiency of AI agents. This involves advancing post-training techniques for open-weight models, pioneering new approaches in voice AI, and translating research breakthroughs into robust production systems. The role involves tackling complex AI and ML challenges, building agents capable of reasoning and executing intricate tasks, and determining the optimal balance between custom models and external intelligence to maximize customer value.

Invisible Technologies is seeking a Research Engineer to join its research organization, focusing on reinforcement learning, evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. This role involves defining how frontier models are measured, with direct influence over the methodology and its implementation. You will translate research questions into practical scoring frameworks, evaluation architectures, or environment designs, and then build the production systems to run them. This is a hands-on role for someone who wants to design the approach and write the code to prove it out, with reporting lines varying by experience level.

Mercor is seeking a Research Scientist Intern to contribute to cutting-edge research in AI. This role focuses on post-training techniques, reinforcement learning with verifiable rewards (RLVR), data generation, and model evaluation. You will investigate how different datasets, rewards, and training methods influence the capabilities and behavior of large language models. The internship involves designing experiments, developing new evaluation methodologies, analyzing model failures, and improving aspects like tool use, agentic behavior, and real-world reasoning. You will collaborate with researchers and domain experts, with the potential for your work to support publications and the development of advanced AI systems.

Sourcegraph is building AI tools to address challenges in the software industry, especially as codebases grow and agentic development becomes prevalent. The Code Understanding team focuses on areas like Deep Search, Query Assist, and Smart Hovers, which are powered by agent engineering. This role is for a staff-level technical leader responsible for the direction of models, evaluations, and agentic systems within the Code Understanding team. The goal is to improve product performance, speed, and cost-effectiveness by integrating deterministic systems with AI. This position offers significant agency over technical direction and a direct impact on product development.

NVIDIA's Math Libraries team is seeking a senior engineer to contribute to kernel generation for AI and HPC, focusing on matrix operations, JITing, and fusions. This role involves developing GPU-accelerated mathematical libraries that power advancements in AI, scientific simulations, and data analytics across various industries. You will be instrumental in enabling leading organizations to revolutionize fields like healthcare, NLP, VR, and autonomous vehicles.

$184k - $357k

NVIDIA is seeking an AI Engineering Manager to join the Finance AI team. This role involves leading a team of AI engineers to develop AI solutions for Finance operations and evaluate external finance AI solutions. You will guide your team in applying technology to solve complex problems, direct agent development, and integrate new tools and technologies. This is an opportunity to make a significant impact by defining the next era of computing through AI within the finance domain.

$200k - $322k

Salesforce Enterprise Security is seeking an Enterprise Application Security Engineer for their Secure AI team. In this role, you will collaborate with business stakeholders and technology partners to ensure AI tooling meets Salesforce's security requirements as AI is deployed at scale. You will have the opportunity to identify emerging threats, design processes that balance security and business agility, and share your knowledge through internal events, conferences, and research.

$149k - $260k