Senior AI/ML Engineer owning conversational assessment AI for Limbic, a mental healthcare technology company. Improving clinical safety, prediction, evaluation, and healthcare integrations.
About the role
- Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
Responsibilities
- Partner with Machine Learning teams, GenAI application developers, business sponsors, and other stakeholders to maintain model and GenAI application inventories, risk assessments, documentation, monitoring reports, and governance materials.
- Review methodologies, assumptions, data inputs, system designs, performance measures, controls, and limitations to provide effective challenge and identify remediation needs.
- Evaluate quantitative methods and technologies ranging from traditional statistical and financial models to complex machine learning models and GenAI applications.
- Conduct and document model risk assessments, monitoring reviews, and targeted quantitative analyses supporting internal policies and regulatory expectations.
- Develop practical governance approaches for new and evolving machine learning and GenAI technologies.
- Respond to model- and GenAI-related questions from regulators, lending partners, and external stakeholders in collaboration with Machine Learning, business, Legal, Compliance, and partner-facing teams.
- Track model risk issues, remediation plans, program goals, and emerging risks; escalate material findings and recommend improvements.
- Independently execute core components of Upstart Bank’s model risk management program across lending, fraud, compliance, finance, capital and liquidity, servicing, and operational risk models.
Requirements
- Master’s degree in a quantitative field such as finance, mathematics, economics, statistics, or a related discipline
- 4+ years of experience in model risk management, model validation, model governance, machine learning, data science, quantitative risk, AI governance, or a related technical risk function
- Internship or project experience related to model risk management, model validation, machine learning, or data science
- Basic understanding of AI/ML methodologies such as tree-based models and neural networks
- General familiarity with GenAI applications
- Experience coding in R, Python, or similar languages such as Matlab
- Preferred: PhD in a quantitative field
- Preferred: 5+ years of experience in model risk management or model governance or related fields
- Preferred: Familiarity with GenAI evaluation approaches, prompt and system design, retrieval-augmented generation, tool use, guardrails, and ongoing monitoring
- Preferred: Experience assessing models outside credit underwriting
- Preferred: Advanced coding skills in R, Python, and SQL, and experience using Git
- Preferred: Knowledge of consumer lending, credit risk, model fairness, explainability, or machine learning and GenAI in regulated environments
Benefits
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage, including medical, dental, vision, wellness resources for US, and supplemental health coverage for Canada
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Life insurance and disability coverage
- Paid time off, sick leave, and company holidays
- Paid family and parental leave
- Family-centered fertility, parenthood, and caregiving benefits
- Employee Assistance Program offering mental health support and life-centered resources
- Financial wellness resources, including financial planning tools and financial concierge service (US only)
- Annual wellness allowance
- Annual productivity allowance for relevant tools and resources
- Team events, all-company updates, and employee resource groups (ERGs)
- Catered lunches and fully stocked micro-kitchens when working from offices
- Flexible remote work through Upstart’s digital-first philosophy
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff - level ML Engineer building Yelp’s content and contributor intelligence systems with neural networks, LLMs, and multimodal embeddings. Productionizing end - to - end ML pipelines for Yelp’s local - business platform.
Machine Learning Engineer II developing production ML models for Affirm’s pay - over - time platform. Building credit decisioning systems, scalable pipelines, and algorithms that predict default and guide approvals.
Sr. AI/ML Engineer building and deploying AI models for AlertMedia’s risk intelligence and response SaaS platform. Optimizing LLMs, machine - learning pipelines and production AI features.
New - grad Machine Learning Engineer building LLM agents and moderation systems for Quora’s knowledge - sharing platform. Evaluating and deploying ML solutions that improve content quality and safety at scale.
Senior MLOps Engineer scaling ML infrastructure for CivCheck, Clariti’s AI - powered government permitting software. Productionizing models with reliable pipelines, cloud systems, observability, and performance at scale.
Senior machine learning scientist leading predictive AI teams at TD, a major Canadian bank. Developing regression, classification, and anomaly detection models for personal banking.
ML Engineer training diffusion models for Hapiko’s voice - activated Stickerbox, which turns kids’ spoken ideas into stickers. Bringing Spin Master characters into production safely and on - model.
Trust & Safety ML Engineer safeguarding Hapiko’s generative - AI sticker printer for children. Owning moderation pipelines, safety evaluations, classifiers, red teaming, and compliance systems.
MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.