Senior Machine Learning Engineer, Zocdoc
$208.6-279.6k
Salary applicable to candidates in NY and may vary in further locations
API connecting patients to doctors
Open for applications
API connecting patients to doctors
1001+ employees
Open for applications
$208.6-279.6k
Salary applicable to candidates in NY and may vary in further locations
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 optimizing complex algorithms for business growth and working with a fantastic team
- 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
- 4+ years of experience in training, evaluating, and deploying machine learning models in a production environment
- Experience working with predictive models or auction mechanics, especially in the context of digital marketing or ads
- Passion around applying state of the art agentic AI workflows
- Proven ability to mentor engineers, helping them grow while delivering solutions aligned with revenue and business outcomes
- 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)
What the job involves
- 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
- 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
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 fragmented 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. Moving forward, Zocdoc will continue to invest in its platform to optimise 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
(Co-Founder & 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 & Chief AI Officer)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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