Senior Machine Learning Engineer

Senior Machine Learning Engineer

Clover is reinventing healthcare 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, seeking 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 employs Machine Learning to use our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our machine learning infrastructure is central to executing on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that augment the data needs of a diverse organization and contribute to the expansion of the Machine Learning capabilities of our Data Platform.

As a Senior Machine Learning Engineer, you will:

  • Create, debug, interpret and improve production machine learning models.
  • Design, implement and validate high-reliability, distributed platforms for machine learning.
  • Build the tools and validation processes that help Clover translate insights into action at scale.
  • Use existing commercial and open source tools where appropriate to create a robust production platform.
  • Work closely with Clover's Data Science and Engineering teams to ensure that the Machine Learning 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 outcomes for real people.
  • You are comfortable acting autonomously in ambiguous and dynamic 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 sharing your unique insights with everyone.
  • You enjoy working in a fluid environment, defining and owning 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 feel a great responsibility 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 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 machine learning models.
  • You have both built and refactored complex distributed systems, especially machine learning systems.
  • You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

#LI-REMOTE

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.


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.


 

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