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/.

Job Description:

This Senior Machine Learning Engineer will be one of the founding members joining the Machine Learning Team that pioneers the path of bringing machine learning into our daily operations and a chance to touch the lives of millions of drivers to get the help they need. We are looking for you to bring your existing machine learning experience as well as a desire to learn and grow with the role. This role will be joining a team that is responsible for achieving the highest customer satisfaction, whilst minimizing costs over millions of roadside assistance dispatches each year. The ideal candidate brings their experience in Python, their drive and passion for Machine Learning systems and hits the gas pedal to help supercharge the team. What better way to do that than with the Data Science and Analytics team as part of your pit crew to help. Are you a Machine Learning driver that can get in the driver’s seat and drive? Are you also someone that can recommend strategies for improving system applications and services and a focus on ease of deployment, security, reliability, stability, availability and performance and up for a challenge?

Key Outcomes:

Deliver products/systems through their full life cycle, from idea conception, technical planning, implementation, launch, measurement, and maintenance/iteration.
Contribute to developing a strong culture of quality, availability, and security through attention to detail and by supporting industry leading best practices.
Drive optimal solution design collaborating with product owners, architects, operations, client services, and cross-functional teams to move fast on creating solutions to client and business problems and as well as be able to identify and act on new opportunities.

Qualifications:

CS or Engineering related Degree
Experience building large, complex systems, particularly web services, RESTful APIs, and continuous integration and delivery
3-5 years of experience in software application development and design experience
3-5 years of experience with AWS services (ECR, S3, SageMaker)
5+ years experience in Python (Pandas, Numpy, Scikit-learn)
3-5 years experience working with Machine Learning systems
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

Nice to Haves:

Experience with tree based models
Experience with DVC
Experience with Airflow
SQL

Hiring In:

United States: AZ, CA, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA
Canada: Province of Ontario

The base salary range presented represents the anticipated low and high end salary range for new hires in this position. Actual salaries may vary and may be above or below the range presented based on various factors, including, but not limited to, 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.

California pay range

$140,000—$200,000 USD

D, E & I Mission & Culture at Agero:

We are all Change Drivers at Agero. Each day, we speak to thousands of drivers and tow professionals across one of the most diverse countries in the world. Our mission to safeguard drivers on the road, strengthen our clients’ relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.

The road to positive change starts inside Agero. In celebrating each other’s differences, we lift each other up and create space for innovation and community. Bringing our whole selves to work powers our commitment, drive, agility, and courage - ensuring we are not only changing the landscape of the driver services industry, we also are making a difference in the lives of our customers with each call, chat, and rescue.

THIS DESCRIPTION IS NOT INTENDED TO BE A COMPLETE STATEMENT OF JOB CONTENT, RATHER TO ACT AS A GUIDE TO THE ESSENTIAL FUNCTIONS PERFORMED. MANAGEMENT RETAINS THE DISCRETION TO ADD TO OR CHANGE THE DUTIES OF THE POSITION AT ANY TIME.

To review Agero’s privacy policy click the link: https://www.agero.com/privacy.

***Disclaimer: Agero is committed to creating a diverse and inclusive environment and encourages applications from all qualified candidates. Accommodation is available. Additionally, we offer accommodation for applicants with disabilities in our recruitment processes. If you require accommodation during the recruitment process, please contact recruiting@agero.com.

***Agero communicates with candidates via text for matters related to submitted applications, questions, and availability for interviews. If you prefer not to receive texts, you can contact Agero’s recruiting team directly at recruiting@agero.com.

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Senior Machine Learning Engineer