Upstart · 9 hours ago
Staff Applied Machine Learning Engineer, LLM Applications
United States
Full-time
Remote
Senior Level, Lead/Staff
$178K/yr - $247K/yr
6+ years expUpstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The Staff Applied Machine Learning Engineer will focus on building LLM applications, collaborating with cross-functional teams to design and implement user-facing ML features that enhance product capabilities.
Artificial Intelligence (AI)AutomotiveConsumer LendingCreditFinancial ServicesFinTechLendingMachine LearningPersonal Finance
Responsibilities
Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities
Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences
Own the technical architecture and implementation strategy for applied ML systems - balancing latency, observability, and iteration speed
Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways
Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards for safety, fairness, and performance
Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org
Qualification
Required
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
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
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year
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
Company
Upstart
Upstart (NASDAQ: UPST) is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit.
1001-5000 employees
H1B Sponsorship
Upstart has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (68)
2024 (67)
2023 (85)
2022 (85)
2021 (42)
2020 (15)
Funding
Current Stage
Public CompanyTotal Funding
$3.36BKey Investors
CastlelakeProgressiveRakuten
2025-11-06Post Ipo Debt· $1.5B
2025-09-05Post Ipo Debt· $320M
2025-08-12Post Ipo Debt· $600M
Leadership Team
Dave Girouard
Founder & CEO
Paul Gu
Co-Founder
Recent News
The Motley Fool
2026-01-03
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2026-01-01
2025-12-17
Company data provided by crunchbase