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About the Role
Lila is hiring an Associate Director/Director, Inference Engineering to lead the team responsible for Lila's model serving platform, including inference APIs, serving frameworks, request routing, batching strategies, and deployment systems. You will define how Lila serves models at scale, balancing latency, throughput, quality, and cost, and act as the technical authority connecting research and ML to production-grade serving capabilities. The role involves people leadership, service ownership, cross-functional partnership, and deep technical judgment in modern LLM serving.
Responsibilities
- Own the inference service end to end: API contracts, latency SLAs, throughput guarantees, rate limits
- Drive serving architecture decisions: batching, KV cache, speculative decoding, quantization, multi-node deployment
- Establish SLOs for latency, throughput, and availability, plus on-call and postmortem practices
- Partner with ML, research, and product engineering to make new models production-ready
- Build systems for model onboarding, deployment safety, evaluation gates, and observability
- Build, mentor, and retain a high-performing engineering team, and own the serving roadmap
Requirements
- Deep understanding of the inference stack for large language models, including serving frameworks (e.g., vLLM, TensorRT-LLM, TGI), batching strategies, memory constraints, and latency/throughput tradeoffs
- Experience owning a customer- or product-facing API service end to end, including SLAs, incident response, and service reliability in fast-moving environments
- Track record hiring, mentoring, and retaining senior technical talent, and scaling engineering organizations through rapid growth
- Strong technical judgment across latency, throughput, reliability, cost, and delivery speed
- Demonstrated ability to set technical strategy and execute as priorities change
- Ability to align ML, research, product engineering, and executive stakeholders with competing priorities
- Hands-on experience with speculative decoding, quantization (AWQ, GPTQ, FP8), or model parallelism strategies
- Experience with serving evaluation: output quality regression testing, A/B routing, and shadow deployments
- Familiarity with GPU capacity planning, instance provisioning, utilization, and cloud cost modeling
- Prior work in AI/ML startups or research-heavy organizations
Skills
- vLLM
- TensorRT-LLM
- TGI
- speculative decoding
- quantization
- AWQ
- GPTQ
- FP8
- model parallelism
- GPU capacity planning
- instance provisioning
- utilization
- cloud cost modeling
Experience Level
- Associate Director
- Director
Salary/Compensations
- $204,000—$348,000 USD
Benefits
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships for office based employees
- Company subsidized lunch program
About the Company
- 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.
Equal Opportunity
- 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.