Experience with distributed ml training frameworks
Understanding of large-scale model training techniques
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Lila Sciences is seeking a Research Engineer to join their AI Research team, focusing on optimizing systems for long-horizon scientific discovery tasks using large language models. The company is known for its innovative approach to applying AI in life sciences, and offers various work streams for candidates to align their expertise with the organization's mission.
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Job Summary
Lila Sciences is pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method.
The role involves designing, building, and optimizing systems to train LLMs for long-horizon scientific discovery tasks across five distinct work streams.
Employees receive competitive base compensation with bonus potential, generous early-stage equity, and comprehensive benefits including medical, dental, vision, and paid parental leave.
Matching Summary
Match Score: 75
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Lila Sciences is seeking a Research Engineer to join their AI Research team, focusing on optimizing systems for long-horizon scientific discovery tasks using large language models. The company is known for its innovative approach to applying AI in life sciences, and offers various work streams for candidates to align their expertise with the organization's mission.
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Salary
Base: $189,000 - $289,000 USD; Bonus/Equity: Bonus potential and generous early-stage equity; Benefits: Comprehensive program including medical, dental, vision, life insurance, flexible time off, and educational assistance
Skills & Requirements
Must-have
Strong software engineering skills in Python
Experience with distributed ML training frameworks
Understanding of large-scale model training techniques
Nice-to-have
Contributions to open-source ML frameworks
Prior work with large scale scientific datasets
Experience with RL post-training methods
Key Requirements
Experience with cloud or HPC environment
Ability to communicate technical results to stakeholders
Background in scaling post-training or reasoning models