Staff Applied Machine Learning Engineer, LLM Applications
Staff Applied Machine Learning Engineer, LLM Applications
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Job Description
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races ages and genders while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly with zero documentation to upload.
Upstart is a digital-first company which means that most Upstarters live and work anywhere in the United States. However we also have offices in San Mateo California; Columbus Ohio; and Austin Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart wed love to hear from you!
The Team
Upstarts new Applied LLM team is building foundational infrastructure that democratizes access to generative AI for every product and engineering team across the company. This is a cross-functional team at the intersection of machine learning product and engineering. Our mission is to bring the power of ML - particularly large language models (LLMs) and generative AI - to life in Upstarts core products.
As a Staff Applied Machine Learning Engineer focused on building LLM applications youll 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.
Position Location - This role is available in the following locations: San Mateo Columbus Austin Remote
Time Zone Requirements - This team operates on the East/West Coast time zones.
Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-4 days per Quarter at one of our offices. If you need to travel to make these meetups Upstart will cover all travel related expenses.
How youll make an impact:
- 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
What were looking for:
- 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
What youll love:
- 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 $4500 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
#LI-REMOTE
#LI-MidSenior
At Upstart your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic locationwith our digital first philosophy Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition Upstart provides employees with target bonuses equity compensation and generous benefits packages (including medical dental vision and 401k).
Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures backgrounds perspectives and experiences and know that we can only become better together.
If you require reasonable accommodation in completing an application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please email
Staff IC
Employment Type
Full-Time
Key Skills
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