Senior Machine Learning Engineer, Clover Health
$150-200k
+ Performance-based bonus program & equity opportunities + ESPP
Healthcare technology company
Be an early applicant
Healthcare technology company
501-1000 employees
Be an early applicant
$150-200k
+ Performance-based bonus program & equity opportunities + ESPP
501-1000 employees
Company mission
To improve the quality of life of our members and physicians by reducing doctor-insurer friction and increasing visibility into the health of each patient, leading to improved care.
Role
Who you are
- 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 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/LLM models
- You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems
- You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation
What the job involves
- 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/LLM 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/LLM capabilities of our Data Platform
- Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs
- 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/LLM Platform is providing real value
- Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily
Our take
Clover Health is a medical insurance company operating as a Preferred Provider Orgaization for Medicare Advantage, the Medicare plan for elderly American citizens. It aims to reduce the doctor-insurer friction to increase visibility into the health of patients.
Supported by Clover, physicians are able to focus on people rather than paperwork. It offers patient-centered analytics and a dedicated care management team, so it is able to rapidly identify potential healthcare risks and provide preventative care. This helps to provide a more sophisticated level of care than existing providers.
Over the years, Clover Health has performed well in a rapidly growing market, despite hitting profitability issues back in 2021. The company smartly focussed in on this issue, and is now expecting to reach profitability in 2026. With the growing number of elderly Americans, the market is only going to get bigger, presenting an opportunity for even bigger growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2019
$500m
SERIES E
May 2017
$130m
SERIES D
Total funding: $925m
Company benefits
- Paid parental leave and a life insurance policy
- Commuter benefit program
- 2 paid volunteer days for an organization of your choice
- 401(k) contributions
- Home office reimbursement for full-time employees
- 18 paid vacation days, 9 paid sick days, 10 company holidays, and a floating holiday
- Medical, dental, and vision plans; healthcare and dependent care FSA as well as a health and wellness benefit
Company HQ
Downtown, Nashville, TN
Leadership
Vivek Garipalli
(Founder & Executive Chair)They started out in Healthcare Investment Banking with Credit Suisse before joining the Blackstone Group. They also worked in Private Equity at J.P. Morgan, and co-founded Ensemble Health Partners and CarePoint Health System.
Aric Sharp
(CEO)Has a history of successfully leading healthcare start-up, turnaround, and transformation efforts in a variety of settings including physician practices, clinically integrated networks, large health systems, and insurance products.
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