Acceler8 Talent
Research Engineer (San Francisco)
Acceler8 Talent, San Francisco, California, United States, 94199
Research Engineer - San Francisco, CA
A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Research Engineer to join their team.
What Will I Be Doing:
Optimize inference throughput for novel model architectures Contribute to frameworks used for our research and production workloads Train trillion-parameter models on large GPU clusters Curate post-training datasets to improve targeted capabilities Build out internet-scale data pipelines and crawlers Design, prototype and optimize new model architectures Contribute to research across long-context, inference-time compute, RL, and more
What were looking for:
Strong general software engineering skills Thorough knowledge of the deep learning literature Experience with pre- and post-training of LLMs Ability to come up with and evaluate research ideas Experience working with large distributed systems Ability to handle large ETL workloads
Whats In It for Me:
Salary of $225K$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors
Apply now for immediate consideration!
A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Research Engineer to join their team.
What Will I Be Doing:
Optimize inference throughput for novel model architectures Contribute to frameworks used for our research and production workloads Train trillion-parameter models on large GPU clusters Curate post-training datasets to improve targeted capabilities Build out internet-scale data pipelines and crawlers Design, prototype and optimize new model architectures Contribute to research across long-context, inference-time compute, RL, and more
What were looking for:
Strong general software engineering skills Thorough knowledge of the deep learning literature Experience with pre- and post-training of LLMs Ability to come up with and evaluate research ideas Experience working with large distributed systems Ability to handle large ETL workloads
Whats In It for Me:
Salary of $225K$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors
Apply now for immediate consideration!