Acceler8 Talent
Software Engineer (San Francisco)
Acceler8 Talent, San Francisco, California, United States, 94199
Software Engineer (Post Training) - 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 Software Engineer (Post Training) to join their team.
What Will I Be Doing:
Build and maintain robust, high-performance data pipelines to support large-scale post-training workflows Partner closely with research and applied teams to design strategies for sourcing diverse, targeted datasets at scale Develop creative approaches to generating high-quality synthetic data for model improvement Iterate on dataset filtering, scoring and quality heuristics to improve post-training outcomes Implement, test and operate data infrastructure supporting workloads from gigabytes to hundreds of petabytes
What Were Looking For:
Exceptional attention to detail and a strong commitment to data quality Ability to write reliable, well-tested production code Comfort learning new tools, languages and frameworks as needed End-to-end experience across data pipelines, from scraping and ingestion through processing and validation High intellectual agility, curiosity and grit to tackle complex, ambiguous problems
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 Software Engineer (Post Training) to join their team.
What Will I Be Doing:
Build and maintain robust, high-performance data pipelines to support large-scale post-training workflows Partner closely with research and applied teams to design strategies for sourcing diverse, targeted datasets at scale Develop creative approaches to generating high-quality synthetic data for model improvement Iterate on dataset filtering, scoring and quality heuristics to improve post-training outcomes Implement, test and operate data infrastructure supporting workloads from gigabytes to hundreds of petabytes
What Were Looking For:
Exceptional attention to detail and a strong commitment to data quality Ability to write reliable, well-tested production code Comfort learning new tools, languages and frameworks as needed End-to-end experience across data pipelines, from scraping and ingestion through processing and validation High intellectual agility, curiosity and grit to tackle complex, ambiguous problems
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!