Lila Sciences, Inc.
Machine Learning Engineer, Distributed & Scalable Training
Lila Sciences, Inc., Cambridge, Massachusetts, us, 02140
Machine Learning Engineer, Distributed & Scalable Training
Cambridge, MA USA Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply. We’re seeking a ML Engineer specializing in
distributed and scalable training . You’ll design and maintain large-scale training systems, optimize performance for massive models, and integrate cutting-edge techniques to improve efficiency and throughput. Ray-based distributed training infrastructure for LLMs and multi-modal models. Performance optimizations for large-scale model training including training and optimization workflows (SFT, MoE, long-context scaling). Orchestrate frontier and open source LLMs along with complex compute-intensive tool use Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning. System-level performance benchmarks and debugging utilities. What You’ll Need to Succeed Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray). Strong software engineering skills (Python, C++ kernel contributions are a plus). Understanding of large-scale model training techniques. Experience with cloud or HPC environments. Prior work with scientific datasets or domain-specific modeling. Contributions to open-source ML frameworks. Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. Create a Job Alert Interested in building your career at Lila Sciences, Inc.? Get future opportunities sent straight to your email. Apply for this job
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Cambridge, MA USA Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducingscientific superintelligence to solve humankind's greatestchallenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply. We’re seeking a ML Engineer specializing in
distributed and scalable training . You’ll design and maintain large-scale training systems, optimize performance for massive models, and integrate cutting-edge techniques to improve efficiency and throughput. Ray-based distributed training infrastructure for LLMs and multi-modal models. Performance optimizations for large-scale model training including training and optimization workflows (SFT, MoE, long-context scaling). Orchestrate frontier and open source LLMs along with complex compute-intensive tool use Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning. System-level performance benchmarks and debugging utilities. What You’ll Need to Succeed Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray). Strong software engineering skills (Python, C++ kernel contributions are a plus). Understanding of large-scale model training techniques. Experience with cloud or HPC environments. Prior work with scientific datasets or domain-specific modeling. Contributions to open-source ML frameworks. Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. Create a Job Alert Interested in building your career at Lila Sciences, Inc.? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Employment Title Select... Start date year End date month Select... End date year Current role Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa status)? * Select... If you'll require the company to commence ("sponsor") an immigration or work permit case in order to employ you, either now or at some point in the future, then you should select Yes. Otherwise, select No. Do you currently reside within the continental United States? * Select... How active are you in your job search? * Select... Are you able to work in the specified job location, or are you willing to relocate for this position? * Select... When are you able to start a new position? *
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