Machine Learning Engineer- Cloud Deployment; Remote

Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop;
The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. with operations throughout North America.

You may be required to travel to Medford for your initial onboarding. Don't worry about the logistics - once you're hired, we handle all travel arrangements and expenses for you.

The Senior Machine Learning Engineer plays a crucial role in advancing the capabilities of our machine learning initiatives. This position is pivotal in developing and deploying cutting-edge algorithms and models to enhance our operational efficiencies and customer satisfaction metrics.

• Design, develop, and implement machine learning models and algorithms to optimize operations and service delivery.
• Collaborate closely with cross-functional teams to define requirements, conduct feasibility analysis, and deliver scalable solutions.
• Lead the full lifecycle of machine learning projects, from ideation through to deployment and maintenance.
• Ensure adherence to best practices in machine learning, including model evaluation, validation, and monitoring.
• Drive innovation and continuous improvement in machine learning applications and processes.
• Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 3-5 years of experience in software application development and design.
• 3-5 years experience working with Machine Learning systems.
• 3-5 years of experience with AWS services (ECR, S3, Sage Maker).
• 5+ years experience in Python (Pandas, Numpy, Scikit-learn).
• Experience building large, complex systems, particularly web services, RESTful APIs, and continuous integration and delivery.
• Experience with tree-based models, DVC, Airflow and/or SQL are nice to have.
• Understand fundamental design principles behind a scalable application.
• Motivated to understand the nuances of data and its impact on the business.

The anticipated closing date to submit applications for this role is November 21st, 2026.

• Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
• Financial Security: 401(k) plan with company match and tuition assistance to support your future goals.
• Flexible time off, paid sick leave, and ten paid holidays annually.
• For Contact Center Roles:
  Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually.

Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education.

Bonus/Incentive Programs Applicants must be currently authorized to work in the United States on a full‑time basis.