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Jobs(26,751)/Machine Learning Engineer Role(346)/Lila Sciences (26) - Machine Learning Engineer, Physical Sciences AI
Lila Sciences

Lila Sciences - Machine Learning Engineer, Physical Sciences AI

Cambridge, MA USA; San Francisco, CA USA$180k - $298k+ Equity2w ago
In OfficeNAArtificial IntelligenceMachine Learning EngineerPythonHugging FaceFastAPI

Requirements

• BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. • Strong Python software engineering fundamentals (testing, packaging, typing) and experience with machine learning frameworks (e.g., PyTorch, Hugging Face). • Experience deploying AI/ML services in cloud-based infrastructure (e.g., FastAPI, containers, orchestration, databases). • Hands-on experience bringing models to production (e.g., deep learning models, LLMs, multimodal models, or RAG), with strong debugging, profiling, and optimization skills. • Clear communication and collaboration in cross-functional settings. • Contributions to open-source ML or scientific software. • Experience or strong interest in building with AI agents (e.g., tool calling, multi-step workflows). • Experience with workflow orchestration, data provenance, or large-scale compute environments. • Exposure to scientific domains (materials, chemistry, or physics) and their data formats, simulations, or benchmarks. • Performance and memory optimization for training or inference (e.g., mixed precision, distributed training, GPU profiling, efficient model serving).

Benefits

• We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. • U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. • $180,000 - $298,000 USD • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. • LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. • Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. • We’re All In • Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. • Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. • A Note to Agencies • 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.

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