Medicare Advantage • Engineers • Heathcare • Complex Care • Home Care
501 - 1000 employees
October 17
Medicare Advantage • Engineers • Heathcare • Complex Care • Home Care
501 - 1000 employees
• Clover is reinventing healthcare by working to keep people healthier. • We value diversity — in backgrounds and in experiences. • We’re looking for a Machine Learning Engineer II to help us build a revolutionary new health care business. • Counterpart Health uses Machine Learning (including NLP/LLMs) to leverage our data to help keep patients healthy and out of the hospital by getting them targeted care. • You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the ML capabilities of our Platform. • As a Machine Learning Engineer II, you will: • Create, debug, interpret and improve production ML models. • Design, implement and validate pieces of our high-reliability, distributed platforms for ML. • Build the tools and validation processes that help Counterpart translate insights into action at scale. • Use existing commercial and open source tools to create a robust production platform. • Work closely with Counterpart’s Data Science and Engineering teams to ensure that the ML platform is providing real value. • Document, iterate, and provide tutorials to ensure Data Scientists and Engineers are able to use your tools easily.
• You have 3+ years of experience in Machine Learning Engineering or related 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 AI techniques. • You have experience interpreting, modifying, and debugging the inputs and outputs of production ML models. • You have both built and refactored parts of distributed systems, especially ML systems.
• 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 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 offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits. • 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, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. • Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. • Additional Perks: Reimbursement for office setup expenses, flexibility to work from home, enabling collaboration with global teams, paid parental leave for all new parents, and much more!
Apply NowMay 31
🇨🇦 Canada – Remote
💵 $149.5k / year
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
May 9, 2023
AWS
Big Data
Cloud
Deep Learning
Distributed Systems
Docker
GCP
Java
Kubernetes
Machine Learning
Optimization
Python
PyTorch
Tensorflow