Machine Learning Engineer

Job summary

Overview: AS A LEADING PROVIDER OF OUTCOMES-DRIVEN CARE FOR INDIVIDUALS AND COMMUNITIES LIVING WITH CHRONIC CONDITIONS, Som*** IS HELPING PATIENTS ACROSS THE COUNTRY ENJOY MORE HEALTHY DAYS AT HOME™. Care at Som*** goes beyond treatment. Through a whole‑person approach, we deliver outcomes‑driven integrated care and show up #Som***Strong for our patients and teammates.

Benefits

Qualifications

• Bachelor’s or Master’s Degree with 1 or more years of experience in a machine learning-related role, or PhD
• At least 1 year of experience with Python
• Some experience with relational databases and SQL
• Understanding of software engineering best practices and software development lifecycle
• Familiarity with Git and issue tracking
• Experience in healthcare industry and working with healthcare data
• Experience with cloud infrastructure (Azure, AWS, or GCP)
• Experience with Docker
• Experience with Natural Language Processing
• Experience with effectiveness research
• This job description is not designed to cover or contain a comprehensive listing of activities,

Responsibilities

• Som*** is on a mission to be the world’s best provider of integrated care for patients with or at risk of developing kidney disease.
• A core component of our mission is the effective and impactful use of data to support patient care.
• As a Machine Learning Engineer at Som***, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems.
• Our culture is data-driven, collaborative, results-focused, and fast-moving.
• If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!
• Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
• Build pipelines for training, evaluating, and deploying models.
• Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques to uncover meaningful insights.
• Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed.
• Stay current with trends and developments in the AI, machine learning, and healthcare technology communities.
• or
• required of the employee.

Skills

Degrees

Industry

Company size

Contract length