Bask Health Logo

Bask Health

Machine Learning Engineer

Reposted 4 Hours Ago
Remote
5 Locations
Mid level
Remote
5 Locations
Mid level
The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.
The summary above was generated by AI

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.


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.

Top Skills

AI
Machine Learning

Similar Jobs

8 Days Ago
Easy Apply
Remote
Spain
Easy Apply
Senior level
Senior level
Cloud • Marketing Tech • Sales • Software
The role involves designing, training, and optimizing ML models for document intelligence using traditional and modern techniques, focusing on document automation and structured data extraction.
Top Skills: Deepseek-OcrDocformerDonutLayoutlmLightonocr-1BOnnx RuntimePythonTensorrtTgiVllm
4 Hours Ago
Remote
6 Locations
Senior level
Senior level
Artificial Intelligence • Information Technology
Lead and manage enterprise-scale Hadoop/Cloudera environments, oversee ETL pipeline design, manage data engineering teams, ensure security and governance best practices.
Top Skills: AirflowAWSAzureClouderaGCPHadoopHdfsHiveKafkaLinuxNifiSparkYarn
3 Days Ago
Easy Apply
Remote
Spain
Easy Apply
Senior level
Senior level
Gaming • Information Technology • News + Entertainment
As a Staff Machine Learning Engineer, you will develop machine learning solutions for online gaming, shape the ML roadmap, mentor junior engineers, and drive technical direction.
Top Skills: AirflowPythonPyTorchSagemakerScikit-LearnSQLXgboost

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account