About the role
How We Show Up for Our Patients: As a leading provider of outcomes-driven care for individuals and communities living with chronic conditions, Somatus is helping patients across the country enjoy More Healthy Days at Home™. Care at Somatus goes beyond treatment. Through a whole ‑ person approach, we deliver outcomes ‑ driven integrated care and show up #SomatusStrong for our patients and teammates. We partner closely with health plans, health systems, and provider groups to support patients with, or at risk of developing, cardio, kidney, metabolic, or other chronic conditions. We hire the brightest and boldest — talent driven by purpose and impact. Since our founding in 2016, our growth trajectory isn’t just a milestone — it’s a signal. Our leadership values culture and leads with intention as we remain dedicated to driving clinical excellence. Does this sound like you? Keep reading. How We’ll Support You: We offer 25+ health, growth, and wealth work
perks to help teammates be the best version of themselves, including: Subsidized personal healthcare coverage : Medical, Dental & Vision, plus Wellness programs Paid Time Off : Flexible PTO Professional development : CEU and tuition reimbursement How You'll Make an Impact: Somatus 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 Somatus, 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. Assist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance. 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. How You'll Strengthen Our Team:
