Senior Applied ML Engineer

Upstart

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design and build user-facing ML features that harness LLMs and generative AI
Partner with product, design, and ML research to prototype and deliver ML-powered experiences
Own the technical architecture and implementation strategy for applied ML systems
Build scalable services and APIs that bring model outputs to users
Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards
Establish and evangelize best practices for prompt design, model evaluation, and experimentation

4+ years of software engineering experience
2+ years working directly on ML-driven products or intelligent systems
Proven ability to lead complex initiatives across engineering, product, and research stakeholders
Strong backend development skills (e.g., Python with FastAPI or Flask)
Experience with cloud-native tooling (e.g., Kubernetes, Docker, Terraform)
Experience integrating LLMs or ML models into production systems, including APIs and user-facing applications
Excellent communication skills and a collaborative, product-minded approach
Ability to think rigorously about system design, latency tradeoffs, and user impact

Experience shipping GenAI or LLM-powered features using frameworks like LangChain, LlamaIndex, or OpenAI APIs
Familiarity with retrieval-augmented generation (RAG), vector search (e.g., FAISS, Pinecone), and real-time inference patterns
Proficiency in full-stack development, including front-end work with React or similar frameworks
Strong intuition for prompt engineering, model testing, and evaluation methodologies
Experience navigating complex requirements around explainability, user trust, or compliance in ML applications
Track record of influencing architecture or product direction at a team or org level

Skills