- Location
- Pasadena, CA · Pasadena, California, United States
- Workplace
- Onsite
- Department
- Engineering/Development
- Source
- Greenhouse
Description
About the Role:
Sensible Care is now hiring an AI Software Engineer to join our AI engineering team. You’ll take on R&D projects to find novel solutions to significant healthcare problems using AI. This is a full-time in-office position based in Pasadena, CA. If using AI to help patients’ wellbeing sounds exciting and rewarding, we would love to talk to you!
Schedule: Mon-Fri 9am-6pm at our AI Lab located at: 680 E Colorado Suite 330, Pasadena, CA 91101
What You’ll Do:
The key responsibility of this position is to use the scientific method to test novel applications of AI in mental healthcare.
You’ll work with a small group of engineers, data folks, and clinicians at Sensible Care to discover new ways AI can help improve patient outcomes in mental health.
Please apply if you can:
- Run Experiments: Turn open-ended questions about mental healthcare into testable hypotheses, design experiments to evaluate them, and draw clear conclusions from the results.
- Build Prototypes: Take promising ideas from concept to working proof-of-concept quickly, using LLMs, ML models, and other AI tools to explore what’s possible for patients and providers.
- Partner with Clinicians: Work closely with therapists, psychologists, and other clinicians to understand real clinical workflows and pain points, so that solutions are grounded in sound mental health practice.
- Design for Safety and Privacy: Protect sensitive patient data in line with HIPAA and other regulations and build safeguards for risks specific to mental health.
Who You Are:
- A Builder: You love to push the limits of ML and LLMs, to find new opportunities to solve problems with AI.
- Autonomous: You can take a loosely defined idea and turn it into a proof-of-concept without much hand-holding.
- Curious: You keep up with the fast-moving AI space and enjoy experimenting with new models, tools, and techniques.
- Responsible: You take privacy, safety, and accuracy seriously, especially when patients are on the other end.
- Team Player: You’re comfortable working cross-functionally with technical and non-technical teams, including clinicians.
- Systematic: You won first prize at your science fair; you know how to employ the scientific method to answer questions.
- Meticulous & Detail-oriented: You leave no stone unturned when taking on a challenge and you don’t leave things to chance.
- Skeptical: You are informed by repeatable, provable facts versus hearsay
What You Need:
- 3+ years of hands-on, production-level software development experience
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) or ML models in production
- Strong skills in Python; experience with web or mobile application development a plus
- Familiarity with git and the basics of CI/CD
- A willingness to take initiative and ownership in a small-company environment
- Stand-out candidates will have experience in healthcare or health-tech, or experience working in a research setting
What We Offer:
- Salary: $160K–$200K
- Bonus: 15% bonus
- Meaningful equity (ISO)
- 401(k) account with contribution matching
- Gym membership stipend
- 15 vacation days, 5 sick days, and paid holidays annually
- Health, Dental, and Vision coverage for you and your family
Let’s stay in touch!
Follow us on LinkedIn (Sensible Care) and Instagram (@sensiblecarementalhealth)
Sensible Care is committed to serving our clients and empowering our providers and the multitude of teams who support our providers. We offer competitive compensation, excellent benefits, work + life balance, and a collaborative, empowering culture committed to providing the highest quality mental healthcare and being the employer of choice.
At Sensible Care, we embrace diversity, empowerment, invest in a culture of inclusion, positivity and encourage all to apply to join our supportive team. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.