Designing and building scalable ML infrastructure, including feature stores, data pipelines, and experiment tracking, to streamline the end-to-end model lifecycle and accelerate ML Engineer development
Contributing to the development and optimization of Sponsored Results auction algorithms, focusing on improving patient and provider experiences, predictive accuracy, and efficient bid pricing
Closely partnering with Sales and Product teams as a fellow business owner to ensure the SPO platform is performing optimally for clients
Brainstorming with an amazing team and rapidly shipping new features and scalable code to millions of users
Making a meaningful impact as you own and release features that will impact patients, doctors, and team members alike
Mentoring peers, with the notion that helping others means learning and growing yourself

Requirements

4+ years of experience building, deploying, and maintaining production ML systems at scale
Demonstrated ability to design ML platforms or shared infrastructure
Strong background in building scalable algorithms and systems, with a focus on performance and reliability
Experience working with predictive models or auction mechanics, especially in the context of digital marketing or ads
Proven ability to mentor engineers, helping them grow while delivering solutions aligned with revenue and business outcomes
Good understanding of ML concepts and techniques. Experience with training models for production release is a big plus.
Experience with languages and tools like Python, Scala, and machine learning frameworks
Driven, curious, and continuously seeking to improve products or learn new skills and technologies
5+ years of experience in professional software development
A Computer Science or related degree (preferred).

Benefits

Flexible, hybrid work environment at our convenient Soho location
Unlimited Vacation
100% paid employee health benefit options (including medical, dental, and vision)
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 everyday along with beverages and snacks
Employee Resource Groups and ZocClubs to promote shared community and belonging
Great Place to Work Certified

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningML infrastructuredata pipelinesfeature storespredictive modelsauction algorithmsscalable algorithmsproduction ML systemsPythonScala

mentoringcollaborationproblem-solvingcuriositydrivencommunicationteamworkleadershipadaptabilitycreativity