Staff ML Engineer - Search & GenAI (Mentor & Scale)

Zocdoc; Chicago (IL); Hybride; USD 130 000 - 170 000; Plein temps

Avantages offerts par ce poste

Flexible, hybrid work environment

Unlimited Vacation

100% paid employee health benefit options

Commuter Benefits

401(k) with employer-funded match

Catered lunch every day along with beverages and snacks

Résumé du poste

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to enhance their core search product. This role involves building scalable solutions to improve the healthcare search experience for patients and providers. Key responsibilities include developing search algorithms, mentoring engineers, and collaborating with teams. The ideal candidate has over 7 years of experience in machine learning and software development along with strong mentorship skills. A flexible, hybrid work environment and competitive benefits are offered.

Qualifications

• 7+ years of professional development experience, ideally in data teams.
• Experience in building consumer-facing ML models.
• Proven ability to mentor other engineers

Responsabilités

• Contribute to the development of search algorithms and ML models.
• Ship efficient and scalable code to millions of users.
• Mentor other engineers in the Search team.

Connaissances

Machine learning techniques

Implementation of ML Ops

Experience with coding in Python

Consumer-facing experiment design

Scalability and reliability thinking

Mentoring engineers

Formation

Computer Science or related degree

Outils

Scala

Spark

Databricks

React

C#

Node.js

Description du poste

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to enhance their core search product. This role involves building scalable solutions to improve the healthcare search experience for patients and providers. Key responsibilities include developing search algorithms, mentoring engineers, and collaborating with teams. The ideal candidate has over 7 years of experience in machine learning and software development along with strong mentorship skills. A flexible, hybrid work environment and competitive benefits are offered.