Director/ Senior Director, Applied Ai

Lilasciences

Cambridge, MA, USA
Base: $320,000 - $490,000 usd; bonus/equity: bonus...
On-site
Leading foundational applied ai team
Fine-tune and adapt models
Deliver reliable interfaces
Lila Sciences is seeking a Director/Senior Director of Applied AI to lead the development of their Applied AI team, focusing on customizing models for practical applications and ensuring data security. The role requires extensive experience in machine learning and team leadership, as well as a strong understanding of production systems

Job Summary

  • As the Director/Sr. Director of Applied AI you will be leading the build of our foundational Applied AI team that will fine-tune and adapt our models for real-world product use.
  • You will be reporting directly to the CTO and will own the roadmap from data to deployment, partner closely with Research, Product, Software, App, Safety, and Security teams, and ship models that are usable, measurable, and trustworthy.
  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.

Matching Summary

Match Score: 85

Lila Sciences is seeking a Director/Senior Director of Applied AI to lead the development of their Applied AI team, focusing on customizing models for practical applications and ensuring data security. The role requires extensive experience in machine learning and team leadership, as well as a strong understanding of production systems.

Salary

Base: $320,000 - $490,000 USD; Bonus/Equity: bonus potential and generous early equity; Benefits: Not specified

Skills & Requirements

Must-have

  • leading foundational Applied AI team
  • fine-tune and adapt models
  • deliver reliable interfaces
  • own roadmap from data to deployment
  • production inference expertise
  • data privacy and security best practices

Nice-to-have

  • instruction fine tuning experience
  • building chat UX
  • knowledge of quantization/distillation
  • experience in compliance-heavy environments

Key Requirements

  • 8+ years in applied ML/ML systems
  • 3+ years leading teams
  • track record shipping LLM systems to production
  • Deep experience fine-tuning and evaluating large models
  • Production inference expertise: serving frameworks
  • Data privacy and security best practices

Work Rights

Not specified

Tailored Resume

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