Senior Machine Learning Engineer

ZocdocNew York, NY
14hHybrid

About The Position

We are looking for a Senior Machine Learning Engineer to join our Sponsored Results Team, one of our fastest-growing product areas! In this role, you will use your machine learning and engineering expertise to develop systems that enhance our products and facilitate improved healthcare experiences for patients and providers. As a Machine Learning Engineer, you will play a key role in building and optimizing new algorithms for our core Sponsored Results product. You'll collaborate with cross-functional teams, including Product, Analytics, and Sales, to ensure that our algorithms are fine-tuned for maximum client value and revenue growth. Healthcare providers face a challenging space to grow their business and use their resources effectively, with Zocdoc’s Sponsored Results providing unparalleled value in this space. Your work will help drive performance improvements and expand Zocdoc’s share of marketing spend in a way that improves patient outcomes and experiences. You’ll enjoy this role if you are… Passionate about optimizing complex algorithms for business growth and working with a fantastic team Deeply interested in ML Platform initiatives like building the infrastructure, abstractions, and tools for other ML practitioners Also excited about working on hands-on model development (iterating on features, training runs, and evaluation to ship improved models) Excited by iterating on complex problems with high reward in a fast-paced environment Happy working in a highly collaborative environment, pairing closely with data scientists, backend engineers, sales, and product managers daily.

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

Nice To Haves

  • A Computer Science or related degree (preferred)

Responsibilities

  • 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

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
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