Fundamental Research Labs
ML Infrastructure Engineer
Fundamental Research Labs, Menlo Park, California, United States, 94029
Join to apply for the
ML Infrastructure Engineer
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Fundamental Research Labs Join to apply for the
ML Infrastructure Engineer
role at
Fundamental Research Labs Get AI-powered advice on this job and more exclusive features. About The Role
As our About The Role
As our
ML Infrastructure Engineer , you’ll build the large-scale systems that power training, inference, and data pipelines for state-of-the-art models. Your work will enable our researchers and ML engineers to train faster, deploy smarter, and iterate without bottlenecks.
If you love building scalable, high-performance systems and want to see your work directly accelerate research breakthroughs, you’ll thrive here.
Responsibilities
Design and maintain large-scale distributed training pipelines Build and optimize inference infrastructure using vLLM, SGLang Implement and scale RL training frameworks for large models Architect ML data services pipelines for ingestion, preprocessing, and retrieval Optimize cluster utilization across GPUs/TPUs and cloud (AWS, Azure) Develop monitoring, benchmarking, and debugging tools for training and inference
Qualifications
Strong engineering skills in distributed systems and high-performance computing Proficiency in Python Experience with ML frameworks (PyTorch, JAX) and serving frameworks (vLLM, SGLang) Familiarity with RL training infrastructure Experience with container orchestration (Kubernetes/EKS) and cloud-native ML workloads
Bonus
Contributions to ML infra projects or serving frameworks Knowledge of model optimization techniques (quantization, pruning)
What Makes Us Interesting
Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies True ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than months Serious momentum We're well-funded by top investors, moving fast, and focused on execution
What We Do
Ship consumer products powered by cutting-edge AI research, and Build infrastructure that facilitates research and product, and Innovate cutting-edge research that will open up new consumer product forms
The Details
Full-time, onsite role in Menlo Park Startup hours apply Generous salary, with additional benefits to be discussed during the hiring process
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Fundamental Research Labs by 2x Sign in to set job alerts for “Infrastructure Engineer” roles.
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ML Infrastructure Engineer
role at
Fundamental Research Labs Join to apply for the
ML Infrastructure Engineer
role at
Fundamental Research Labs Get AI-powered advice on this job and more exclusive features. About The Role
As our About The Role
As our
ML Infrastructure Engineer , you’ll build the large-scale systems that power training, inference, and data pipelines for state-of-the-art models. Your work will enable our researchers and ML engineers to train faster, deploy smarter, and iterate without bottlenecks.
If you love building scalable, high-performance systems and want to see your work directly accelerate research breakthroughs, you’ll thrive here.
Responsibilities
Design and maintain large-scale distributed training pipelines Build and optimize inference infrastructure using vLLM, SGLang Implement and scale RL training frameworks for large models Architect ML data services pipelines for ingestion, preprocessing, and retrieval Optimize cluster utilization across GPUs/TPUs and cloud (AWS, Azure) Develop monitoring, benchmarking, and debugging tools for training and inference
Qualifications
Strong engineering skills in distributed systems and high-performance computing Proficiency in Python Experience with ML frameworks (PyTorch, JAX) and serving frameworks (vLLM, SGLang) Familiarity with RL training infrastructure Experience with container orchestration (Kubernetes/EKS) and cloud-native ML workloads
Bonus
Contributions to ML infra projects or serving frameworks Knowledge of model optimization techniques (quantization, pruning)
What Makes Us Interesting
Small, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companies True ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than months Serious momentum We're well-funded by top investors, moving fast, and focused on execution
What We Do
Ship consumer products powered by cutting-edge AI research, and Build infrastructure that facilitates research and product, and Innovate cutting-edge research that will open up new consumer product forms
The Details
Full-time, onsite role in Menlo Park Startup hours apply Generous salary, with additional benefits to be discussed during the hiring process
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Fundamental Research Labs by 2x Sign in to set job alerts for “Infrastructure Engineer” roles.
Mountain View, CA $145,000.00-$170,000.00 3 days ago Mountain View, CA $138,225.00-$207,575.00 4 days ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 4 days ago San Jose, CA $100,500.00-$173,250.00 1 week ago Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 2 weeks ago Palo Alto, CA $140,000.00-$265,000.00 2 weeks ago San Jose, CA $100,500.00-$173,250.00 2 weeks ago Palo Alto, CA $122,800.00-$153,500.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On Site
San Jose, CA $113,400.00-$206,300.00 1 week ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago Palo Alto, CA $86,200.00-$145,400.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Mateo, CA $145,000.00-$165,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 6 days ago Web UI Engineer (L4), Identity & Security Experiences
Frontend Software Engineer - University Graduate 2025
San Mateo, CA $120,000.00-$165,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr