Machine Learning Engineer

Bask Health Inc; New York (NY); On-site; USD 95,000 - 130,000; Full time

Job summary

Bask Health Inc is seeking innovative engineers to advance healthcare technology through high-quality product experiences. You'll be at the forefront of AI-driven development, from designing and building to shipping robust software. Engage in rapid prototyping, work closely with real patients, and ensure your solutions are intuitive and reliable. Join us to create trustworthy automation and foster transparency, pushing the envelope of healthcare delivery.

Qualifications

• Experience with LLMs, Cursor, and Claude Code in software development.
• Strong coding skills with a focus on high-quality and well-tested code.
• Ability to prototype quickly and validate with real users.

Responsibilities

• Design, build, and ship high-quality product experiences.
• Work AI-first with Cursor and Claude Code.
• Prototype fast and validate with real users.
• Build for scale and own the codebase.
• Make automation legible and trustworthy.
• Champion performance, accessibility, and reliability.
• Share AI-native workflows.

Job description

Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.

Engineering at Bask Health is AI-first and builder-led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real patients and care teams, and then comes back for systems and polish. AI is a default part of how we work, not a side experiment — because moving fast in healthcare requires every advantage.

We are looking for engineers who take end-to-end ownership, treat AI as a real collaborator, and care deeply about building software that meaningfully improves how healthcare is delivered.

What You'll Do

• Design, build, and ship high-quality product experiences: Own key surfaces and services end to end, from concept through production. Write elegant, well-tested code that makes complex clinical and operational behavior feel simple and reliable.
• Work AI-first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to meet the quality bar healthcare demands.
• Prototype fast and validate with real users: Build and test implementations quickly with real patients and care teams. Use what you learn to refine before fully committing — especially in sensitive clinical contexts where getting it right matters.
• Build for scale and own the codebase: Translate product needs into reusable, well-architected patterns. Build in a way that makes the next feature faster to ship and easier to maintain.
• Make automation legible and trustworthy: Build systems that clearly communicate what AI and automation are doing on behalf of patients and providers. Earn trust through transparency, reliability, and thoughtful defaults.
• Champion performance, accessibility, and reliability: Ship work that is fast, robust, and accessible. Partner across the team to debug, optimize, and raise the bar over time.
• Share AI-native workflows: Document prompts, patterns, and workflows that work. Share them across the engineering team so we move faster together without cutting corners that matter to patient outcomes.