Staff Machine Learning Engineer

Zocdoc; Chicago (IL); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

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

Job summary

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

Responsibilities

• 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.

Skills

Machine learning techniques

Implementation of ML Ops

Experience with coding in Python

Consumer-facing experiment design

Scalability and reliability thinking

Mentoring engineers

Education

Computer Science or related degree

Tools

Scala

Spark

Databricks

React

C#

Node.js

Job description

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms

We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will build scalable products to improve the healthcare search experience for patients and providers. You will balance your contributions as an applied Machine Learning Engineer with mentorship responsibilities.

Responsibilities

• Contribute to the end-to-end development of search algorithms and ML models.


• Implement ML Ops and CI/CD best practices.


• Collaborate with other teams to incorporate features within Search.


• Ship efficient and scalable code to millions of users.


• Partner with product and design teams to develop product improvements.


• Mentor other engineers.


• Work with GenAI tools and technology.

Requirements

• Passion for building and productionizing large-scale consumer-facing ML models.


• Solid understanding of machine learning techniques.


• Understanding of consumer-facing experiment design.


• Passion for technology and the ability to think critically about software performance, scalability, and reliability.


• Experience building data platforms with the latest technologies.


• Experience implementing software solutions using object-oriented or functional languages (e.g., Scala, Spark, Databricks, Python, React, C#, Node.js).


• Experience designing, building, and shipping applications that scale.


• 7+ years of professional development experience (Data teams experience is a plus).


• Experience mentoring other engineers.


• Computer Science or related degree (preferred).

Benefits

• Flexible, hybrid work environment.


• Unlimited Vacation.


• 100% paid employee health benefit options.


• Commuter Benefits.


• 401(k) with employer-funded match.


• Corporate wellness programs with Headspace and Peloton.


• Sabbatical leave (for employees with 5+ years of service).


• Competitive paid parental leave and fertility/family planning reimbursement.


• Cell phone reimbursement.


• Catered lunch every day along with beverages and snacks.


• Employee Resource Groups and ZocClubs.


• Great Place to Work Certified.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.