Senior Machine Learning Engineer Healthtech startup

In this role you will :

Build deploy and improve robust machine learning models for product features.

Design both offline and online experiments to test ML product features and perform data-driven analysis on the results to find actionable insights.

Provide input and collaborate closely with the ML Infrastructure team towards the development of technical platforms that power ML systems and engineering infrastructure and operations.

Mentor ML engineering interns and team members.

Source and interview diverse talent to build and grow a strong ML engineering team.

An ideal candidate has :

Experience building production machine learning models and systems : Expertise with the full lifecycle of machine learning algorithms in production including research deployment improvements and maintenance.

Ability to translate product intuition into data-driven hypotheses that result in impactful machine learning / engineering solutions.

Experience leading cross-functional teams on strategic machine learning product initiatives from conception to successful product outcomes.

Demonstrated ability to collaborate with a diverse set of stakeholders such as researchers business leaders domain experts (such as doctors) and product managers to solve complex cross-disciplinary problems.

Masters with at least 6 years of relevant experience or BS with at least 8 years of relevant experience.

In-depth experience with at least one machine learning framework (such as TensorFlow PyTorch etc.)

Required Experience :

Senior IC

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full Time

Experience : years

Vacancy : 1