Staff Applied Machine Learning Engineer, LLM Applications

Job not on LinkedIn

August 6

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🏈 Ohio – Remote

Although this job is listed in Ohio, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🏈 Ohio – Remote 🤠 Texas – Remote

💵 $178.4k - $246.8k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Upstart

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Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.

1001 - 5000 employees

📋 Description

• Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. • Our mission is to bring the power of ML - particularly large language models (LLMs) and generative AI - to life in Upstart’s core products. • As a Staff Applied Machine Learning Engineer focused on building LLM applications, you will work closely with researchers, product managers, platform engineers, and designers to ship intelligent features that elevate the user experience and expand the capabilities of our systems.

🎯 Requirements

• Minimum qualifications: • 6+ years of software engineering experience, with 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), plus 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 when working with ML features • Preferred qualifications: • 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

🏖️ Benefits

• Competitive Compensation (base + bonus & equity) • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings • Employee Stock Purchase Plan (ESPP) • Life and disability insurance • Generous holiday, vacation, sick and safety leave • Supportive parental, family care, and military leave programs • Annual wellness, technology & ergonomic reimbursement programs • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering • Catered lunches + snacks & drinks when working in offices