Sobre esta vaga de Senior Machine Learning Engineer na Agero
About Agero:
Wherever drivers go, we’re leading the way. 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; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. 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. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.
Note: For our technical positions, we love to get you started in person! 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.
Role Description and Mission:
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.
Key Outcomes:
- 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.
- Provide technical guidance and mentorship to junior team members.
- Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.
Skills, Education and Experience:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
- 3-5 years of experience in software application development and design experience.
- 3-5 years experience working with Machine Learning systems.
- 3-5 years of experience with AWS services (ECR, S3, SageMaker).
- 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.
- Excellent communication skills, with the ability to interact with other teams.
- Motivated to understand the nuances of data and its impact on the business.
Hiring In:
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United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, New Hampshire, New Mexico, New York State, North Carolina, Tennessee, Virginia
The anticipated closing date to submit applications for this role is 8/31/2026. Join our Greenhouse Candidate Portal to track your application status and receive instant alerts for future openings.
The base salary range presented represents the anticipated low and high end salary range for new hires in this position. Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education. The range listed is just one component of the total compensation package provided by Agero to employees.
Life at Agero:
At Agero, you'll find a workplace where your unique perspective is not just welcomed, it's celebrated. We believe that our differences make us stronger, and we're committed to creating an environment where every employee feels a sense of belonging. If you're looking for a company that values your individuality, provides opportunities for growth, and champions open communication, Agero is the place for you. Join our team and help us drive the future of driver assistance, while experiencing a workplace where you can truly thrive.
Benefits Built for Well-being:
Agero’s innovation is driven by a workforce where all associates feel like they can truly thrive. Agero offers a wide range of benefits to promote well-being, encourage personal development, and ensure financial stability. Our benefits include:
- Health and Wellness: 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.
- Work-Life Balance: 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.
- Family Support: Parental planning benefits to assist associates through life’s milestones.
- Bonus/Incentive Programs
Join Agero and experience a workplace that invests in your success both personally and professionally.
*Applicants must be currently authorized to work in the United States on a full‑time basis. This position is not eligible for employer visa sponsorship now or in the future.
*It is unlawful in Massachusetts to required or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
