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67 open listings · Page 2 of 3
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Intel
Hillsboro, OR
Listed on Intel’s careers site · Apply there ↗
AeroVironment
WPAFB
Listed on AeroVironment’s careers site · Apply there ↗
Deepgram
Ann Arbor, MI · $150,000 – $250,000 · Remote
This role focuses on building scalable training systems and tools that accelerate machine learning research for speech AI, combining infrastructure engineering with research support. It suits engineers who thrive on rapid experimentation, enjoy bridging research and product, and want to work on foundational problems in audio AI.
Listed on Deepgram’s careers site · Apply there ↗
NVIDIA
Full-time · $224,000 – $431,250
NVIDIA is hiring a Security Research Engineer to develop methods for validating and patching software vulnerabilities found by AI tools, with a focus on establishing rigorous standards for what constitutes a confirmed bug and a trustworthy fix. The role suits security researchers with deep vulnerability analysis experience who can apply disciplined judgment to complex security problems while working alongside AI-assisted systems.
Listed on NVIDIA’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
This role focuses on optimizing the critical middle phase of LLM training, where raw capability is shaped into reasoning, generalization, and reliability. It suits researchers and engineers who excel at designing data strategies, training schedules, and synthetic pipelines—and who thrive making high-leverage decisions with minimal constraints.
Listed on Cognition AI’s careers site · Apply there ↗
Duolingo
New York, NY · $220,800 – $331,200
Duolingo is hiring an experienced AI Research Engineer to join their Monetization team, where you'll develop and deploy machine learning systems that balance learning quality with revenue growth. The role combines hands-on model development—including large language models and multi-armed bandits—with strategic leadership, mentorship, and cross-functional collaboration on a product affecting hundreds of millions of learners.
Listed on Duolingo’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere is seeking a Staff Research Engineer to develop and deploy techniques that improve the speed and efficiency of large language model inference in production. This role is ideal for someone with advanced ML expertise and a track record of publishing optimization research who wants to tackle the practical challenge of making AI systems run faster and more efficiently at scale.
Listed on Cohere’s careers site · Apply there ↗
CharacterAI
Redwood City, CA · $225,000 – $400,000 · Remote
This role bridges AI safety research and engineering, focusing on developing evaluation methods, alignment techniques, and adversarial testing to make large language models safer and more aligned with human values. It suits researchers with machine learning expertise who want to apply rigorous technical work directly to mitigating AI risks at scale.
Listed on CharacterAI’s careers site · Apply there ↗
Runway
Remote · $270,000 – $370,000
This role focuses on designing and managing the datasets that train world simulation models, encompassing dataset creation, synthetic data pipelines, and controlled experiments to measure how data composition affects model performance. It suits machine learning engineers with 4+ years of experience who want to shape AI capabilities directly through data strategy rather than model architecture alone.
Listed on Runway’s careers site · Apply there ↗
Menlo Ventures Portfolio
New York, NY · $500,000 – $850,000
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Intel
Listed on Intel’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
This role involves developing and refining the training methods that turn raw AI models into effective agents, focusing on post-training techniques like reinforcement learning from human feedback and evaluation design. It suits researchers and engineers with a track record in ML systems optimization who thrive in fast-moving, ambiguous environments where research and product development move together.
Listed on Cognition AI’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $290,000
Together AI seeks a Research Engineer to transform efficient training techniques from research into production systems that optimize large-scale model fine-tuning. The role suits engineers who combine deep ML systems knowledge with practical infrastructure work, partnering with researchers to profile, optimize, and deploy training workloads at scale.
Listed on Together AI’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on developing and scaling machine learning infrastructure for large-language model training, particularly reinforcement learning methods. It suits experienced software engineers who combine strong ML fundamentals with distributed systems expertise and want to contribute to cutting-edge AI infrastructure at an enterprise scale.
Listed on Cohere’s careers site · Apply there ↗
CharacterAI
New York, NY · $225,000 – $400,000 · Remote
You'll develop and optimize post-training algorithms for large language models, working on everything from data pipelines and alignment techniques to sampling strategies that improve how millions of users experience conversational AI. This role suits researchers with a PhD and strong ML fundamentals who want to directly shape product quality at scale.
Listed on CharacterAI’s careers site · Apply there ↗
Intel
Listed on Intel’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $300,000 – $400,000
This role bridges Anthropic's AI research and customer needs by embedding with product teams to validate new capabilities, build demos and evaluations, and translate field insights back to inform product development. It suits experienced technical professionals who enjoy moving between deep technical work and cross-functional collaboration, with a proven ability to learn new domains quickly and communicate complex topics clearly.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
This role focuses on building the distributed systems and infrastructure that enable AI research at scale, owning everything from GPU cluster management to experiment orchestration. It suits experienced systems engineers who understand both distributed computing fundamentals and deep learning frameworks deeply enough to anticipate researcher needs and eliminate bottlenecks.
Listed on Cognition AI’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $290,000
Research Engineer building systems at Together AI that enable developers to customize open-source language models for their specific applications, working across model training and inference infrastructure. This role suits engineers experienced with production ML services who want to contribute to foundational AI infrastructure and work on cutting-edge inference optimization problems.
Listed on Together AI’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $500,000 – $850,000
This role builds the infrastructure that powers human feedback collection and data pipelines for training Claude, managing everything from annotator interfaces to backend services that deliver data to researchers. It suits senior full-stack engineers comfortable owning complex systems end-to-end and working closely with research teams whose needs evolve rapidly.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Intel
2 locations
Listed on Intel’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $300,000
A research engineering role focused on developing and optimizing GPU kernels for machine learning applications, requiring deep expertise in parallel computing and CUDA/Triton. This suits experienced systems engineers who want to drive performance innovations at the intersection of GPU architecture and AI infrastructure.
Listed on Together AI’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $500,000 – $850,000
Anthropic is seeking a Research Engineer to advance reinforcement learning for chip design, combining expertise in hardware design with AI training to help Claude models generate and optimize RTL and physical designs. The role suits experienced chip designers who want to bridge silicon expertise with cutting-edge AI research and can work across both research innovation and production deployment.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $350,000 – $500,000
Join Anthropic's Life Sciences team to develop machine learning evaluation frameworks and training strategies that advance AI applications in biology and drug discovery. This role suits experienced ML engineers interested in scientific AI, rigorous experimental design, and working at the intersection of AI and life sciences research.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $500,000 – $850,000
This role involves advancing Claude's ability to see and interact with computer interfaces through research and engineering. You'll design experiments, build evaluation frameworks, and develop reinforcement learning systems to improve how AI models can reliably operate real software.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗