Lark Health is looking to leverage advanced AI techniques, including generative AI, to provide scalable, affordable, and compassionate care for cardiometabolic conditions, aiming to prevent issues like obesity, hypertension, and type II diabetes, and improve the health of millions.
Requirements
- Strong expertise in Python and SQL, with fluency in machine learning frameworks and cloud-based platforms (Databricks, Snowflake, AWS, etc.).
- Proven, hands-on experience building and evaluating generative AI models (LLMs, transformers, multimodal architectures) in production environments.
- Demonstrated experience assessing the safety, fairness, and clinical effectiveness of AI solutions in healthcare or other high-stakes domains.
- A deep understanding of data—from pipelines and transformations to intuition about patterns, anomalies, and the downstream impact of data quality.
- A strong foundation in statistics, econometrics, and machine learning, with a proven ability to apply theory to business-critical problems.
- 7+ years of professional experience in data science, with demonstrated leadership in delivering AI/ML projects.
Responsibilities
- Lead Generative AI Initiatives: Own the ideation, design, development, deployment, and evaluation of generative AI solutions for both internal tools and external product features.
- Establish Frameworks for Responsible AI: Design and lead rigorous evaluation frameworks to ensure generative AI outputs are safe, reliable, fair, and clinically effective. You will partner with clinical, compliance, and engineering teams to build responsible guardrails.
- Practice Strong Data Stewardship: Apply a deep understanding of data quality, structure, and pipelines to ensure models are trained, validated, and monitored on solid foundations. Spot anomalies, gaps, and biases before they become problems.
- Ensure Rigor in Production: Champion robust data science principles in deployed systems, collaborating with software engineering teams to ensure our models are sound and reliable at scale.
- Collaborate to Drive Outcomes: Partner effectively with product and business leaders to define problems and deliver AI/ML solutions that drive measurable, meaningful outcomes.
- Stay on the Cutting Edge: Continuously monitor advancements in AI/ML and surface opportunities for the safe and impactful application of new technologies in both product and enterprise contexts.
- Mentor and Guide: Share knowledge generously, helping teammates sharpen their technical and strategic skills while fostering a collaborative culture.
Other
- Ability to influence executives and collaborate effectively across engineering, product, and clinical teams.
- A track record of mentoring and elevating peers, fostering a collaborative and innovative culture.
- An advanced degree (MS or PhD) in Statistics, Data Science, Computer Science, or a related quantitative field is strongly preferred.
- Lark operates as a remote organization, requiring all employees to reside within the United States.
- Candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.
