Our Mission
Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.
Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.
We’re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.
Your Impact on our mission
We are looking for a Senior Machine Learning Engineer to join our Sponsored Results team, one of our fastest growing and exciting product teams. We are looking for business-driven engineers, who care as much about machine learning and technology as making better products and better healthcare experiences. As an SMLE, you will play a key role in building and optimizing new algorithms behind 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
- Excited by the challenge of balancing technical depth with strategic, revenue-driven goals
- Love to iterate on complex problems with high reward in a fast paced environment
- Enthusiastic about working closely with Sales and client-facing teams to integrate feedback and refine product offerings
Your day to day is...
- Contributing to the development and optimization of Sponsored Results auction algorithms, focusing on improving patient and provider experiences, predictive accuracy, and efficient bid pricing
- Partnering closely 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
- Working with cutting edge GenAI tools and technology
You’ll be successful in this role if you have…
- A 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
- A 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
- 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
About us
Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
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