Machine Learning Engineer I/II, Applied AI

• Experience building, training, adapting, or evaluating machine learning models.
• Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow.
• Experience designing experiments, evaluation metrics, or test sets for model performance.
• Ability to debug model behavior using data, traces, logs, and qualitative feedback.
• Experience working across research and engineering teams to move ML capabilities into usable systems.
• Familiarity with large language models, multi-modal models, or agentic AI systems.
• Clear communication skills for translating customer needs into technical model improvements.

• Experience adapting models for customer-facing or production workflows.
• Experience with scientific, technical, or data-intensive customer use cases.
• Experience building evaluation harnesses, model monitoring, or quality dashboards.
• Familiarity with retrieval-augmented generation, tool use, or agentic workflows.
• Experience with RL post-training, such as RLHF, GRPO, or tool-augmented RL.
• Experience training MoE architectures.
• Experience working with product or customer-facing teams to translate needs into ML improvements.

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.

Lila Sciences is building Scientific SuperintelligenceTM 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 FactoryTM 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.

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.

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.