<div>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, we’d love to hear from you!</div>The Team The Machine Learning and Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training, inference, and marketplace simulation at Upstart. Our platform is foundational to the company’s success—every underwriting, fraud, conversion, and verification model runs here. We also provide the simulation capabilities that help teams experiment safely and assess business impact without requiring costly live experimentation. We are on a mission to reimagine our infrastructure to support the growing complexity of our ML models, the demand for low-latency inference, and the accuracy needed to simulate the dynamics of our borrower-lender marketplace at scale. The team partners closely with Engineering, ML, Product, and Compliance to accelerate innovation while safeguarding performance and integrity.   How you’ll make an impact: <ul> <li>Drive the technical vision and roadmap for Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning.</li> <li>Lead efforts to modernize our model training and serving infrastructure, reducing training time from days to hours and inference latency to just a few seconds for our most complex models.</li> <li>Spearhead the design and implementation of a distributed platform capable of supporting neural networks, GPU-based training, and scalable hosting of complex models.</li> <li>Overhaul our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams.</li> <li>Work cross-functionally with ML, Engineering, Product, and Finance leaders to align on long-term strategy and incrementally deliver measurable business value.</li> <li>Build and mentor a team of senior engineers and technical leads (including existing leaders), enabling them to grow and scale their areas of ownership.</li> <li>Identify opportunities to expand the charter and unlock new investment areas, such as automated model refreshing and simulation-driven product development </li> </ul>   What we’re looking for:  <ul> <li>Minimum requirements: <ul> <li>15+ years of experience in software engineering, including 5+ years leading teams or organizations focused on ML infrastructure, simulations, or large-scale distributed systems.</li> <li>Proven track record of launching science-heavy products and ML infrastructure at scale, including experience with model training, serving, and performance optimization.</li> <li>Strong systems and infrastructure fundamentals, with the ability to design and evaluate architectures for high-throughput and low-latency ML workloads.</li> <li>Ability to collaborate effectively across disciplines and communicate complex technical concepts to non-technical stakeholders.</li> <li>Experience managing senior engineers and driving alignment across multiple cross-functional teams.</li> </ul> </li> </ul> <ul> <li>Preferred qualifications: <ul> <li>Experience partnering directly with Research and Compliance teams to bring regulated or science-heavy products to market.</li> <li>Familiarity with simulation platforms, experimentation frameworks, or financial modeling tools used to assess impact offline.</li> <li>Deep knowledge of modern ML tooling, including GPU-based training, neural network frameworks, and containerized infrastructure.</li> <li>Demonstrated ability to scale engineering organizations and expand platform charters through influence and strategic thinking.</li> </ul> </li> </ul>   Position Location - This role is available in the following locations: Remote, San Mateo, Columbus, Austin Time Zone Requirements - This team operates across all US time zones. Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.   What youll love <ul> <li>Competitive Compensation (base + bonus &amp; equity)</li> <li>Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart </li> <li>401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings</li> <li>Employee Stock Purchase Plan (ESPP)</li> <li>Life and disability insurance</li> <li>Generous holiday, vacation, sick and safety leave  </li> <li>Supportive parental, family care, and military leave programs</li> <li>Annual wellness, technology &amp; ergonomic reimbursement programs</li> <li>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</li> <li>Catered lunches + snacks &amp; drinks when working in offices</li> </ul> #LI-REMOTE #LI-Director<div><div><div>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 location–with 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).</div><div>United States | Remote - Anticipated Base Salary Range</div><div>$217,400—$300,900 USD</div></div></div><div>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 <a href="mailto:candidate_accommodations@upstart.com">candidate_accommodations@upstart.com</a> <a href="https://www.upstart.com/candidate_privacy_policy">https://www.upstart.com/candidate_privacy_policy</a></div>