Senior Machine Learning Engineer

Senior Machine Learning Engineer

This job is no longer open

At Vivian Health, we’re transforming hiring and recruiting in healthcare. We’re a high impact and positive impact business working to efficiently and cost effectively match the right talent to the right jobs in the healthcare sector, and as a result, help reduce healthcare costs and improve patient care.

We started by bringing transparency and increased access to the opaque and offline temporary healthcare staffing industry, and we are now building the largest marketplace in the healthcare labor market that enables all healthcare professionals to find their perfect job opportunity, faster and easier than ever before.


Vivian Health's mission is to empower every healthcare professional to find their perfect job opportunity. Through the Vivian Health platform, we enable staffing agencies and healthcare employers to more easily find relevant talent, communicate more efficiently, and make better hiring decisions, ultimately enabling them to serve patients more safely and effectively.


We are searching for an experienced Machine Learning Engineer to join the data team to help power & optimize our product surfaces such as search, job recommendation alerts, etc. In addition to working with product and design to integrate our machine learning services into the application, you’ll also be responsible for improving our training, offline evaluation, deployment, A/B test evaluation, and monitoring methodologies of our machine learning models. You will help to scope machine learning projects in conjunction with the product and data teams by effectively translating engineering, business & product constraints & queries into tractable data science questions.

Within 1 month, you’ll: 

  • Have a good grasp of the product & the business challenges
  • Have spun up our environments locally and trained a model on your machine
  • Have launched an AB test with a new model variant

Within 3 months, you’ll: 

  • Have improved our offline model evaluation methodology
  • Have rolled out a model that contributes to the company’s bottom line
  • Have implemented a completely different algorithm for one production model

Within 6 months, you’ll:

  • Have rolled out multiple models that contribute to the company’s bottom line
  • Have implemented additional model monitoring systems in place
  • Have rolled out a brand new model in an area of our product that was not powered by machine learning before


Work alongside a growing and inclusive data team focused on delivering the best experience to our users. Our data team is structured such that each individual has the opportunity to materially impact our company goals.  We work in two-week sprints and meet regularly to discuss blockers and address needs from the team while making time to focus on our work by protecting everyone’s work schedules.

Collaboration means everything to us! Our team strives for a seamless onboarding experience by providing documentation and a mentor to help every step of the way. We encourage asking questions and providing feedback while working together to build the best product. Our team is better because of the different experiences we bring to the table. Come bring your unique perspective and help us give back to the healthcare professionals that have given so much to us!


  • 4-6 years in machine learning & data science in real world scenarios
  • Proficiency in machine learning with experience in areas such as gradient boosting and ranking
  • Strong programming skills in Python (scikit-learn, pandas, numpy)
  • Ability to write SQL queries for data exploration & feature generation
  • Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
  • Persistence, patience and a great sense of ownership & curiosity – we build the decision making that enables candidates & recruiters to place their trust in Vivian!


  • Experience with deploying and optimizing production Machine Learning models with SageMaker
  • Experience in optimizing search
  • Experience building machine learning & offline evaluation pipelines at startups 
  • Experience in using real time streaming data to populate feature stores for on-line predictions
  • Experience with DynamoDB, Lambda or Elastic Beanstalk


The range for this position is $150,000 - $190,000 yearly salary, dependent on job-related, non-discriminatory factors such as experience, education, and skills. This range is based on a full-time schedule.

At Vivian Health, we offer a competitive compensation package, with benefits including:

  • Flexible Time Off
  • Comprehensive Health Insurance Plans including HSA and FSA Options
  • 401K Retirement Savings Plan with Generous Employer Match
  • Generous Parental Leave
  • Pre-tax Commuter Benefit Plan
  • Work from home stipend
  • Access to Corporate Discount Program
  • Pet Insurance

We strongly encourage people of color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and anyone with disabilities to apply. Vivian Health is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.