Machine Learning Engineer

Somatus - Revolutionizing Kidney Care; McLean (VA); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Subsidized personal healthcare

Paid Time Off

Professional development

Job summary

Somatus is seeking an accomplished Machine Learning Engineer to join our data and technology teams in McLean, VA. You will collaborate across roles to deliver ML solutions that impact clinical, operational, and financial outcomes, supporting patients with kidney disease and related conditions.

You will guide end-to-end ML projects, build training pipelines, perform advanced analytics, and advocate for robust experimentation.

Qualifications

• Bachelor’s or Master’s degree with 1+ year ML experience, or PhD.
• At least 1 year of Python experience.
• Some experience with relational databases and SQL.
• Understanding of software development lifecycle and best practices.
• Familiarity with Git and issue tracking tools such as JIRA.
• Familiarity with Linux and CLI.

Responsibilities

• Collaborate 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, evaluation, testing, deployment, 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.

Skills

Python

ML

Data analysis

SQL

Git

Linux

Education

Bachelor’s or Master’s in a relevant field

PhD (related field)

Tools

Docker

Git

JIRA

Job description

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—all 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:

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 tools such as JIRA
• Familiarity with Linux and CLI

Preferred Qualifications:

• 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

Compensation:

$105,000 to $115,000 per year

We offer competitive compensation that reflects market conditions and recognizes the skills, experience, and contributions of our team members. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and geographic location and may fall outside of the range shown above. In addition, this position may be eligible for a discretionary performance‑based bonus in accordance with the Company's applicable incentive compensation plans.

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Our Commitment to Diversity:

At Somatus, we celebrate what makes us unique — our people. We believe that a culture intentionally built to foster and support our unique passions, experiences, and perspectives helps fuel us in the pursuit of our mission.

Somatus, Inc. provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by law. Discrimination of any type will not be tolerated.