Machine Learning Engineer II

We are looking for a Machine Learning Engineer II to join Clover, a company reinventing healthcare by prioritizing health and well-being. Our engineering team is empathetic, supportive, and focused on building a diverse culture. As a Machine Learning Engineer II, you will help us use Machine Learning (including NLP/LLMs) to leverage data for providing targeted care to patients, ultimately keeping them healthier and out of hospitals.

As a Machine Learning Engineer II, You Will:

• Create, debug, interpret, and improve production ML models.
• Design, implement, and validate robust pieces of our high-reliability, distributed ML platforms.
• Build tools and validation processes to translate insights into actionable steps.
• Utilize existing commercial and open-source tools to develop a scalable production platform.
• Collaborate closely with Data Science and Engineering teams to maximize the ML platform's value.
• Document, iterate, and provide tutorials to enable Data Scientists and Engineers to easily use your tools.

Success In This Role Looks Like:

• Within 90 days: Deliver a well-scoped project improving ML models or systems.
• Within 6 months: Take on larger pieces of the system and work more autonomously.
• In the future: Increase ownership of larger and more complex ML models and systems.

You Will Love This Job If:

• You want to create impact through ML-driven insights to enhance health outcomes.
• You thrive in ambiguous environments and can act autonomously.
• You value collaboration and clear technical communication.
• You are open to providing and receiving constructive feedback.
• You enjoy working in a dynamic setting defined by changing priorities.
• You are proactive in addressing issues and creating sustainable systems.
• You're passionate about using technology for positive societal impact.

You Should Get In Touch If:

• You have 3+ years of experience in Machine Learning Engineering or related roles (healthcare experience preferred).
• You are proficient in Python and data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.).
• You possess a solid foundation in feature engineering, feature selection, and AI techniques.
• You can interpret, modify, and debug inputs and outputs of production ML models.
• You have experience building and refactoring parts of distributed ML systems.

Benefits Overview:

• Financial Well-Being: Competitive base salary, equity opportunities, performance-based bonuses, and regular compensation reviews.
• Physical Well-Being: Comprehensive group medical coverage, including hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: Initiatives like No-Meeting Fridays, access to mental health resources, and a generous annual leave policy, with a remote-first culture promoting collaboration and flexibility.
• Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
• Additional Perks: Reimbursement for office setup expenses, flexibility to work from home, paid parental leave, and more!

About Clover: We are at the forefront of health insurance by leveraging data and human empathy to maintain the health of our members. Passionate, mission-driven individuals work together to solve the complexities of healthcare. Since our inception, Diversity & Inclusion have been core to our success. We are an Equal Opportunity Employer, valuing the diverse strengths and backgrounds of our employees, as they are essential to our mission of improving lives. Inclusion is everyone's responsibility.