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50 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 ↗
Runway
Remote · $270,000 – $370,000
This role owns the data strategy for AI world models, designing datasets and running experiments to understand how training data shapes model capabilities across creative and robotics applications. It suits experienced machine learning engineers who want to bridge data science and research at a company building large-scale generative systems.
Listed on Runway’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is seeking a senior engineer to design and build Rust libraries for CUDA, creating safe abstractions over GPU computing APIs while maintaining tight integration with C/C++ and Python ecosystems. This role suits experienced systems programmers who want to shape the developer experience for accelerated computing at scale.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Internship · Canada, Europe, United States, United Kingdom · Remote
This is a machine learning internship at an AI company where you'll work on training and deploying large-scale foundation models, developing new training techniques, and collaborating with product teams. It suits students passionate about NLP and applied machine learning who want hands-on experience with cutting-edge models and infrastructure.
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 ↗
NVIDIA
Full-time · $168,000 – $322,000
Lead a technical team building verification systems for NVIDIA's AI compilers, ensuring deep learning models compile correctly to GPU code. This role suits experienced engineering managers who understand compiler optimization and want to drive quality at the intersection of AI frameworks and systems engineering.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Internship · Canada, San Francisco, Europe, London, United States, United Kingdom, Toronto, Montreal · Remote
Join Cohere as a research intern to work on cutting-edge machine learning and large language model projects within a team of world-class AI researchers. This role suits PhD candidates in machine learning or NLP who want hands-on experience advancing frontier AI models while contributing to real-world product applications.
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 ↗
NVIDIA
$184,000 – $287,500
NVIDIA seeks a senior engineer to develop and optimize JAX-based components for its AI platform, working on core infrastructure that powers deep learning research and real-world applications. This role combines systems-level performance optimization with collaborative work across research and product teams to advance numerical computing tools.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere is seeking a technical leader to develop safety measures for AI agents that interact with external systems, focusing on data generation, post-training methods, and evaluation frameworks. This role suits experienced ML engineers who combine strong software skills with expertise in responsible AI and can navigate novel research challenges in a small, autonomous team.
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 ↗
NVIDIA
$184,000 – $356,500
This role involves integrating CUDA features and distributed runtime technologies into AI frameworks like PyTorch and vLLM, working on the performance and scalability of deep learning systems across multi-GPU clusters. It suits experienced systems engineers who combine deep learning knowledge with low-level optimization expertise and want to shape the infrastructure that powers modern AI.
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 large language models are reliable and effective through rigorous data evaluation and experimental design. It's ideal for someone with strong statistical expertise and machine learning experience who wants to directly impact AI system quality.
Listed on Cohere’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
Cohere seeks a senior engineer to build and maintain the training framework powering their large-scale language models, working across distributed systems, HPC infrastructure, and tooling. This role suits someone with deep expertise in distributed training systems who wants ownership over critical ML infrastructure components.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is hiring a senior performance engineer to lead benchmarking and optimization of their data center GPU platforms, ensuring they deliver industry-leading performance for AI and HPC workloads. This role suits someone with deep systems knowledge who can identify bottlenecks, tune configurations, and drive improvements across compute, memory, networking, and storage infrastructure.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere is hiring a research engineer to develop and scale machine learning infrastructure for large language model post-training, with a focus on distributed reinforcement learning methods. This role suits someone who combines strong software engineering discipline with deep interest in optimizing model training at scale.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
$124,000 – $195,500
This role involves optimizing deep learning systems at the intersection of CUDA programming and AI workloads, from single-GPU to supercomputer scale. It suits experienced systems engineers who enjoy low-level performance work and want to push the boundaries of what's possible on modern accelerators.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
A technical role focused on advancing large language model post-training, performance optimization, and shipping production systems at scale. Suited for software engineers and researchers who want to bridge machine learning research with production infrastructure on some of the world's largest compute clusters.
Listed on Cohere’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
A research-focused software engineering role optimizing deep learning systems at the intersection of CUDA and AI workloads, suitable for engineers with deep systems expertise who want to tackle hardware-software co-design challenges across single GPUs to supercomputer clusters.
Listed on NVIDIA’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role involves building and optimizing the infrastructure that trains Cohere's large-scale AI models, working at the intersection of research and production engineering. You'll design scalable training systems, improve compute efficiency, and collaborate with top researchers to ship frontier models to enterprise customers.
Listed on Cohere’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 optimizes training performance for Cohere's large language models, focusing on throughput and accelerator utilization through software engineering and low-level kernel optimization. It suits engineers with strong systems programming skills who want to work on cutting-edge AI infrastructure and training infrastructure at scale.
Listed on Cohere’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere is seeking a Senior Member of Technical Staff to design and develop multimodal AI systems that integrate text, speech, and vision capabilities. This role suits experienced machine learning engineers who want to work on frontier models at scale with a focused team and exceptional compute resources.
Listed on Cohere’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
A research-focused engineering role building and deploying large language models at an enterprise AI company. This suits experienced ML engineers who want to balance production systems work with cutting-edge research and have access to world-class compute infrastructure.
Listed on Cohere’s careers site · Apply there ↗