"ml accelerator" Jobs

803 open tech roles matching “ml accelerator”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 803 results

Inferact

Join Inferact as a cluster administration engineer to manage high-performance GPU compute infrastructure for AI inference.

Inferact San Francisco $200k–$400k/yr Published 3 weeks ago
Flexible on stack
Preference Model

Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.

Preference Model San Francisco Published 2 weeks ago
Flexible on stack
Sprinter Health

Join Sprinter Health as a Staff Machine Learning Engineer to build and lead the ML engineering function in a hybrid work environment.

Sprinter Health San Francisco, CA Published 1 month ago
Inferact

Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.

Inferact Remote Published 1 week ago
Flexible on stack
Inferact

Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Pika

Join Pika as a Senior/Staff ML Engineer to enhance AI-driven products through advanced inference acceleration and GPU optimization.

Pika Palo Alto HQ Published 2 months ago
Flexible on stack
Inferact

Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
Atoms

Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.

Atoms San Francisco, CA $224k–$280k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Mariana Minerals

Join Mariana Minerals as a Full Stack Software Engineer to build software tools for the critical minerals supply chain.

Mariana Minerals San Francisco HQ Published 1 week ago
Affirm

Join Affirm's Underwriting ML team to develop and improve machine learning systems for real-time transaction decisions.

Affirm Remote US $165k–$225k/yr Published 1 month ago
Flexible on stack
Genesis Molecular AI

Lead product management efforts to bridge AI and drug discovery at Genesis Molecular AI.

Genesis Molecular AI San Mateo, CA Published 1 year ago
Inferact

Join Inferact as a Product Marketing Manager to enhance vLLM's presence in the AI inference space through strategic marketing and community engagement.

Inferact San Francisco Published 1 month ago
Inferact

Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
krea.ai

Join Krea as an ML Researcher to finetune diffusion models and enhance AI creative tools in a collaborative environment.

krea.ai San Francisco Published 1 week ago
Flexible on stack
Genesis Molecular AI

Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.

Genesis Molecular AI San Mateo, CA Published 7 months ago
Dyno Therapeutics

Join Dyno Therapeutics as a Sr. Machine Learning Engineer to build and scale AI tools for genetic medicine.

Dyno Therapeutics Remote; Watertown, Massachusetts, United States $178.7k–$213.7k/yr Published 3 weeks ago
Flexible on stack
Databricks

Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.

Databricks San Francisco, California $190k–$265k/yr Published 1 month ago
Flexible on stack
baseten

Join Baseten as a GPU Kernel Engineer to optimize high-performance GPU kernels for cutting-edge AI applications.

baseten San Francisco Published 1 year ago
Flexible on stack 70% coding