AI Safety Lead
Salt Lake City, UT (hybrid)
Full Time Senior-level / Expert USD 200K - 245K
Spring Health
Eliminating barriers to mental healthcare. Clinically-proven technology with world-class providers to deliver precisely what your employees need.Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
Please note that candidates for this position must be based in the Salt Lake CIty metro area and be willing to commute 2-3 days a week when this role transitions to a hybrid schedule in 2026. We're excited to be growing our presence in SLC!
Reporting to the VP of Clinical Products, the AI Safety Lead will be responsible for the design, delivery, and operationalisation of a state-of-the-art, mental health clinical safety function and platform for Spring Health’s various products. This is a full time, hybrid position that is based out of San Francisco, CA.
What you’ll be doing:
- Define and continuously update our AI Safety Plan inclusive of regulatory frameworks such as the EU AI Act, U.S. Executive Order 14110, NIST AI RMF 1.0, ISO/IEC 42001 requirements, and others
- Establish and enforce fairness, bias, and explainability standard
- Build monitoring pipelines for drift, harmful content, disparate impact, and other vectors of inequity
- Architect safe-by-design ML systems (LLM guardrails, retrieval-augmented generation, ranking pipelines)
- Lead design reviews, threat-modeling, and red-team exercises
- Define and own key risk indicators (KRIs) and SLOs for safety
- Partner with Clinical, Legal, Privacy, Security, and Product to translate regulation into engineering requirements
- Represent Spring Health in external standards bodies and audits
What success looks like in this role:
- All high-risk AI services/products documented and compliance-mapped; coverage by automated safety tests; Safety SLOs integrated into CI/CD
- Successful third-party audit and/or public disclosures demonstrating conformance to relevant AI standards and/or higher internal standards
- LLM guardrails + rec-sys filters shipped to prod, Automated fairness tests run in CI/CD
- Safety SLOs defined and met by the entire engineering team
- Spring Health recognized in at least one industry forum for published case study on mental-health AI safety
- Spring Health recognized in at least one academic forum on mental-health AI safety
What we expect from you:
- 10+ yrs building and shipping production ML/AI systems; 3+ yrs in a formal AI/ML safety, security, or compliance roleDeep knowledge of Generative AI (LLMs, diffusion), recommender and ranking algorithms, and their failure modes
- Hands-on expertise with:
- Responsible-AI toolkits (e.g., Fairlearn, OpenAI Eval frameworks, LlamaGuard)
- Robustness & red-team testing, adversarial ML, privacy-enhancing techniques
- Distributed training / serving stacks (PyTorch, JAX, Ray, K8s, Triton)
- Demonstrated experience providing technical leadership to teams of 5–15 engineers with experience in delivery execution, mentoring, and hiring support
- Excellent written & verbal communication; able to brief executives and regulators
- Demonstrated success translating EU AI Act or comparable regulation into technical controls and audit artifacts
- Prior experience with safety evaluations for multimodal or RLHF systems
- (preferred) Master’s or PhD in CS, ML, Statistics, or a related discipline
- (preferred) Contributor to relevant open-source safety or fairness projects
- (preferred) Experience participating in NIST, IEEE, or BSI AI standards working group
The target base salary range for this position is $200,800 - $245,000, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
- Employer sponsored 401(k) match of up to 2% for retirement planning
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- We offer competitive paid time off policies including vacation, sick leave and company holidays.
- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
- Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
Tags: CI/CD Engineering Generative AI JAX Kubernetes LLMs Machine Learning OpenAI Open Source PhD Pipelines Privacy PyTorch RAG Research RLHF Security Statistics Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Fertility benefits Fitness / gym Flex vacation Health care Medical leave Parental leave
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.