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Machine Learning Engineer

Bask Health 1 · United States (Remote) · Remote · Active · Workable

Job facts

FieldValue
CompanyBask Health 1
TitleMachine Learning Engineer
Normalized title-
Department / teamEngineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
SalaryUSD 25,000–60,000
Statusactive
ATS providerWorkable
Posted / first seen2024-10-08 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Bask Health 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Workable.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBask Health 1
Source3d485143-963f-466f-9f00-54fd6f0feaf4
ATS providerWorkable

Description

Salary: USD 25,000–60,000 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. Requirements We are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross functional teams to seamlessly integrate AI into our products and services. Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM field. 3+ years of professional experience in machine learning or computer vision . Strong programming skills in Python and experience with TensorFlow (PyTorch a plus). Hands on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark , Databricks , or similar. Cloud experience ( AWS, Azure, or GCP ), including building, deploying, and optimizing solutions with ECS , EKS , or AWS Lambda . Excellent problem solving skills and ability to work in a collaborative environment. Benefits Bask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.

Full job record

Job IDc28a74ee6e2a2ab4813179bfc08475520d5a2d7d
Org IDee69fed5-d852-45af-9fff-b4124e243b10
Source ID3d485143-963f-466f-9f00-54fd6f0feaf4
Board ID3d485143-963f-466f-9f00-54fd6f0feaf4
Providerworkable
Provider Job Key580E703364
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States (Remote)
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawUSD 25,000–60,000
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://apply.workable.com/bask-health-1/jobs/view/580E703364
Apply URLhttps://apply.workable.com/bask-health-1/j/580E703364/apply
First Seen At2026-05-31 17:47:27Z
Last Seen At2026-06-06 20:01:25Z
Last Checked At2026-06-06 20:01:25Z
Last Changed At2026-05-31 17:47:27Z
Inactive At
Source Posted At2024-10-08 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=workable/board=bask-health-1/date=2026-06-06/2026-06-06T20-01-24-048Z-5b3f4214933c0efd1347de17e7436b3b73a9cbd9cf88309c4690a528b6589119.json
Event Fields
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Extensions
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Native Structured
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