Your Impact on our Mission
We are looking for a Staff Machine Learning Engineer to join our Search team at Zocdoc! As a Staff MLE at Zocdoc you’ll balance your contribution as an applied Machine Learning Engineer with mentorship. Search team Machine Learning Engineers have the opportunity to work on our core Search product and continuously improve the quality of our results. You’ll build scalable products that make the healthcare search experience for patients, providers, and Zocdocr’s simpler, safer, and more efficient.
You’ll enjoy this role if you are…
- Passionate about leveraging machine learning to solve real world problems
- A product-driven engineer who loves working in a highly collaborative and supportive environment
- Motivated by building products that make healthcare easier
- Excited to use technology to enhance the consumer experience
- Passionate about building diverse and inclusive teams and culture
- Excited to lead projects and be a mentor for other engineers
Your day to day is…
- Contributing to the end to end development of our Search algorithms and ML models
- Implementing best practices in ML Ops and CI/CD to build state of the art ML models
- Working with other teams to incorporate their features within Search in a way that makes the most impact on our patients
- Shipping efficient and scalable code to millions of users autonomously
- Collaborating with our agile team of dedicated and brilliant engineers, product managers, and designers. You will partner with the product and design teams to develop product improvements
- Making a meaningful impact as you own and release features in our CI environment that will impact patients, doctors, and Zocdocr’s alike
- Mentoring your peers, with the notion that helping others means learning and growing yourself
You’ll be successful in this role if you have…
- Passion for building and productionalizing large scale consumer facing ML models
- Solid understanding of common machine learning techniques
- Good understanding of the nuances and tradeoffs between different types of consumer facing experiment design
- Passion for technology and the ability to think critically about performance, scalability, and reliability of software
- Passion for building data platforms with the latest technologies
- Implemented fast and efficient software solutions using object-oriented or functional languages. Some of the technologies we utilize are Scala, Spark, Databricks, Python, React, C# and Node.js, however we are language agnostic
- Designed, built and shipped applications that scale
- 7+ years of professional development experience. Experience working with Data teams is a plus
- Successfully mentored other engineers in the past and encouraged your peers to use software development best practices for code testing and deployment
- A Computer Science or related degree (preferred)