Junior machine learning engineer

Description:

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.

With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.

As a Junior Machine Learning Engineer, you’ll support the design, development, and deployment of ML models that drive real-world outcomes, while learning from experienced engineers and data scientists who are shaping how AI transforms the public sector.

• Support the end-to-end lifecycle of machine learning solutions—from data collection and preprocessing to model training, testing, and deployment.
• Work with large, complex, and often sensitive datasets to uncover insights and patterns that inform smarter decisions.
• Apply your knowledge of Python and modern ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) to build and refine predictive models.
• Collaborate with senior engineers to optimize, scale, and automate ML workflows using AWS cloud services.
• Participate in code reviews, peer learning sessions, and technical discussions to continually improve your skills.
• Contribute to documentation, monitoring, and model evaluation to ensure accuracy, transparency, and compliance with healthcare and federal standards.

Qualifications

• 1–3 years of hands-on experience in machine learning, data science, or software engineering (academic, internship, or professional).
• Bachelor's degree in computer science, Data Science, Mathematics, or related technical field.
• Strong foundation in Python programming and familiarity with ML frameworks and data manipulation libraries (NumPy, pandas, etc.).
• Understanding statistics, model evaluation, and feature engineering.
• Familiarity with cloud environments (AWS preferred) and version control (Git).
• Curiosity, initiative, and a growth mindset; you’re eager to learn, experiment, and iterate.

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or [email protected].

Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.