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Salary: USD 116,000 - 170,000 / annual
Lila Sciences is seeking Machine Learning Engineers to join its Applied AI organization, which sits at the intersection of AI research, model engineering, and product deployment. The role focuses on improving Lila's AI models for customer-specific scientific needs, turning frontier model capabilities into reliable, production-ready workflows.
Key responsibilities include: closing the gap between AI model capabilities and customer-specific scientific workflows; post-training models using techniques like SFT, DPO, PPO, and GRPO to align behavior with customer requirements; building evaluation loops to measure model quality and reliability; designing experiments to improve model performance across applied use cases; feeding customer learnings and data signals back into model improvement cycles; partnering with AI researchers to translate improvements into usable capabilities; integrating model behavior into end-to-end product workflows; debugging model failures using traces and evaluations; and building reusable tooling for model adaptation, evaluation, and deployment.
Required qualifications: experience building, training, adapting, or evaluating machine learning models; strong Python software engineering skills with modern ML frameworks (PyTorch, JAX, TensorFlow); experience designing experiments and evaluation metrics; ability to debug model behavior using data and qualitative feedback; experience working across research and engineering teams to move ML capabilities into production; familiarity with large language models, multi-modal models, or agentic AI systems; clear communication skills for translating customer needs into technical improvements.
Bonus experience includes: adapting models for customer-facing workflows; scientific or data-intensive customer use cases; building evaluation harnesses and monitoring dashboards; retrieval-augmented generation and tool use; RL post-training techniques; MoE architecture training; and cross-functional collaboration with product teams.
Lila Sciences is building Scientific Superintelligence to solve major challenges through autonomous scientific discovery. The company combines advanced AI models with proprietary instruments into an operating system for science, accelerating discovery across medicine, materials, and energy.
