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Senior Machine Learning Engineer - Clover Health

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Job Title
Senior Machine Learning Engineer
Job Location
Remote - USA
Job Description

Clover is reinventing health insurance by working to keep people healthier.

We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the team and culture that we are building, looking for engineers that are not only strong in their own aptitudes but care deeply about aiding in each other's growth.

We’re looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing capabilities of our Data Platform.

As a Senior Machine Learning Engineer, you will: 

  • Design, implement and validate high-reliability, distributed platforms for machine learning and natural language processing.
  • Create, debug, interpret and improve production machine learning and natural language processing models.
  • Build the tools and validation processes that help Clover translate insights into action at scale.
  • Use existing commercial and open source tools to create a robust production platform.
  • Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP Platform is providing real value.
  • Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily.

You will love this job if:

  • You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
  • You are comfortable acting autonomously in ambiguous and changing environments.
  • You value collaboration and feedback. You can communicate technical vision in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
  • You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
  • You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
  • You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

  • You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required. 
  • You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
  • You have experience with Natural Language Processing and/or LLMs.
  • You have a solid foundation in feature engineering, feature selection, and machine learning techniques.
  • You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP models.
  • You have both built and refactored complex distributed systems, especially ML/NLP systems.
  • You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

 

Benefits Overview

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

 

Additional Perks:

  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

A reasonable estimate of the base salary range for this role is $185k to $230k. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.


About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


#LI-REMOTE



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Clover Health Headquarters Location

Nashville, TN

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Clover Health Company Size

Between 500 - 1,000 employees

Clover Health Founded Year

2014

Clover Health Total Amount Raised

$1,624,999,936

Clover Health Funding Rounds

View funding details
  • Post Ipo Equity

    $300,000,000 USD

  • Post Ipo Equity

    $300,000,000 USD

  • Post Ipo Equity

    $400,000,000 USD

  • Post Ipo Equity

    $400,000,000 USD

  • IPO

    $0

  • IPO

    $0

  • Series E

    $500,000,000 USD

  • Series E

    $500,000,000 USD

  • Series D

    $130,000,000 USD

  • Series D

    $130,000,000 USD

  • Series C

    $160,000,000 USD

  • Series C

    $160,000,000 USD

  • Series B

    $35,000,000 USD

  • Series B

    $35,000,000 USD

  • Series A

    $100,000,000 USD

  • Series A

    $100,000,000 USD