Staff Machine Learning Engineer, Zocdoc
$176-264k
API connecting patients to doctors
Be an early applicant
API connecting patients to doctors
1001+ employees
Be an early applicant
$176-264k
1001+ employees
Company mission
To give power to the patient by delivering the accessible, seamless, and simple experience patients expect and deserve.
Role
Who 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
- 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)
What the job involves
- 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
- 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
Our take
The healthcare system often runs on inefficiencies; patients call outdated directories, wait weeks for a visit to a professional and are often hit with surprise bills. Zocdoc was founded to streamline the healthcare experience by putting the patient first.
The platform allows millions of users each month to view open appointment times with doctors, book instantly online, read verified reviews, and keep up-to-date with checkups. The platform works for both in-person and virtual care – the latter of which has seen a substantial increase in demand. Zocdoc is one of the few companies tackling these problems in healthcare.
The company has solidified its position in the SaaS space, in part by forming partnerships with companies such as WellHive, a leader in digital care, to drive healthcare support for veterans. Going forward, Zocdoc will continue to invest in its platform to optimize its services for its users.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2021
$150m
GROWTH EQUITY VC
Aug 2015
$130m
SERIES D
Total funding: $374m
Company benefits
- 100% paid employee health benefit options
- Vacation and parental leave packages
- Lunch and snacks on us (in-office)
- Cell phone reimbursement
- Corporate wellness programs with Headspace and Peloton
- Employer funded 401(k) match
Company HQ
SoHo, New York, NY
Leadership
Oliver Kharra
(CEO & Co-Founder)Oliver trained as a doctor in Germany before moving into consulting where he worked for McKinsey. During his seven-year tenure at McKinsey & Co., Oliver developed and implemented new patient utilization models for the national health services of a number of governments and major hospital chains
Nick (Nikhil) Ganju
(Co-Founder)Nick has extensive experience in product development, database management and site architecture. He was responsible for building the earliest iterations of ZocDoc and directly overseeing its development for many of its first years
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