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42 open listings · Page 2 of 2
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
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $315,000 – $560,000
This role builds the computational infrastructure and tooling that lets researchers understand how large language models actually work internally, rather than treating them as black boxes. It's suited to experienced software engineers who want to work on AI safety through hands-on infrastructure work, enjoy translating research needs into systems, and are comfortable optimizing across the full stack from GPU kernels to user-facing tools.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
NVIDIA seeks a deep learning engineer to integrate advanced communication technologies into AI frameworks like PyTorch and JAX, optimizing multi-GPU performance for training and inference workloads. The role involves hands-on development with communication libraries, compiler improvements, and performance analysis across large-scale distributed systems.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role involves developing safety mechanisms and evaluation methods for large language models that can interact with external systems, focusing on data generation, post-training techniques, and robustness assessment. It suits machine learning engineers with strong software engineering skills, research experience, and a commitment to building trustworthy AI systems.
Listed on Cohere’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $500,000 – $850,000
Join Anthropic's RL Engineering team to build and improve the reinforcement learning training system that powers Claude's capabilities. This role offers the chance to work across the full ML stack on production-scale systems while collaborating with research teams across the company.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $124,000 – $230,000
This role shapes the technical narrative around NVIDIA's CUDA platform and AI libraries for developer audiences, combining product marketing strategy with hands-on use of AI coding assistants to automate competitive research, content creation, and launch execution. It suits someone with deep technical fluency in accelerated computing and AI frameworks who wants to bridge engineering and developer communities while leaning heavily on AI tools for day-to-day productivity.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on ensuring the quality and robustness of large language models through data collection design, statistical evaluation, and experimental analysis. It suits researchers or engineers with strong ML fundamentals who want to bridge data science and model development at a frontier AI company.
Listed on Cohere’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $350,000 – $850,000
This role involves keeping Anthropic's large-scale language model training pipelines running reliably and efficiently, requiring someone comfortable operating production systems during launches while also contributing research improvements to the training stack. It suits engineers who enjoy both debugging complex infrastructure problems and designing experiments to optimize model performance.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere seeks a senior engineer to design and maintain the training framework for frontier-scale language models, focusing on distributed systems, HPC infrastructure, and the tooling that connects research to thousands of GPUs. This role suits someone with deep experience in large-scale distributed training who enjoys working across the full ML systems stack to solve performance and reliability challenges.
Listed on Cohere’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $280,000 – $850,000
This role focuses on optimizing GPU performance and systems architecture to power large language models at Anthropic. You'll be responsible for kernel development, distributed systems design, and infrastructure optimization across massive-scale GPU clusters if you have deep experience with GPU programming and a drive to solve complex hardware-software integration challenges.
Listed on Menlo Ventures Portfolio’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 ↗
Menlo Ventures Portfolio
San Francisco, CA · $350,000 – $850,000
This role involves building infrastructure systems to train, evaluate, and deploy AI models at Anthropic, working across the full stack from data pipelines to performance optimization. It suits experienced infrastructure engineers comfortable with distributed systems, containerization, and large-scale ML workloads who want to contribute to AI safety research.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on improving large language models through post-training techniques, combining research and production engineering. It suits experienced ML engineers who want to work on state-of-the-art model optimization at significant scale.
Listed on Cohere’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $500,000 – $850,000
This role is for a machine learning engineer to build and optimize reinforcement learning systems that make language models more capable and safer, working on everything from training infrastructure to novel RL techniques. It suits someone who enjoys moving fluidly between research exploration and production engineering, with strong systems thinking and Python expertise.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on building and optimizing the infrastructure that trains Cohere's large language models at scale, working closely with researchers to improve training pipelines and performance. It suits engineers with strong software fundamentals and hands-on experience in distributed systems who want to bridge research and production in a compute-rich environment.
Listed on Cohere’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role optimizes the training performance of large language models by eliminating bottlenecks and writing low-level GPU kernels. It suits engineers with strong systems programming skills who want to work on the infrastructure that makes frontier AI models efficient.
Listed on Cohere’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere seeks a Senior Member of Technical Staff to design and optimize multimodal AI systems that integrate text, vision, and speech. This role suits experienced ML engineers who enjoy pushing model performance limits and want to work on frontier foundation models in a well-resourced environment.
Listed on Cohere’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role involves designing and deploying frontier AI models for enterprise use, blending research innovation with production engineering. It suits researchers and engineers who want to work on large-scale foundation models with access to significant compute resources and collaborative teams.
Listed on Cohere’s careers site · Apply there ↗