Senior Applied ML Engineer

Upstart Upstart · Fintech · United States · Remote · Machine Learning Department

Upstart is seeking a Senior Applied ML Engineer to join their Applied LLM team. This role will focus on building foundational infrastructure for generative AI and LLMs within Upstart's core products. Responsibilities include designing and building user-facing ML features, owning technical architecture for applied ML systems, building scalable services and APIs, and collaborating with various teams to ensure ML deployments meet standards for safety, fairness, and performance. The role also involves establishing best practices for prompt design, model evaluation, and experimentation.

What you'd actually do

  1. Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities
  2. Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences
  3. Own the technical architecture and implementation strategy for applied ML systems - balancing latency, observability, and iteration speed
  4. Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways
  5. Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards for safety, fairness, and performance
  6. Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org

Skills

Required

  • LLMs
  • generative AI
  • ML systems
  • scalable services
  • APIs
  • prompt design
  • model evaluation
  • experimentation

Nice to have

  • ML research
  • product
  • design
  • platform engineering
  • infra
  • legal/compliance

What the JD emphasized

  • harness LLMs and generative AI
  • ML-powered experiences
  • applied ML systems
  • scalable services and APIs
  • safety, fairness, and performance
  • prompt design
  • model evaluation

Other signals

  • LLM applications
  • generative AI
  • ML-powered experiences
  • scalable services and APIs
  • prompt design
  • model evaluation