Senior Machine Learning Engineer
Job Description
<div class="content-intro"><h4><strong>About Agero:</strong></h4> <h4><span style="font-weight: 400;">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 <a href="https://www.agero.com/">https://www.agero.com/</a>.</span></h4> <p><span style="font-weight: 400;"><strong>Note: </strong></span><strong>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.</strong></p></div><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="text-decoration: underline;"><strong>Role Description and Mission</strong></span>:</span></p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="text-decoration: underline;"><strong>Key Outcomes</strong></span>:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, develop, and implement machine learning models and algorithms to optimize operations and service delivery.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate closely with cross-functional teams to define requirements, conduct feasibility analysis, and deliver scalable solutions.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Lead the full lifecycle of machine learning projects, from ideation through to deployment and maintenance.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ensure adherence to best practices in machine learning, including model evaluation, validation, and monitoring.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Drive innovation and continuous improvement in machine learning applications and processes.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Provide technical guidance and mentorship to junior team members.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Stay abreast of advancements in machine learning techniques and technologies to recommend impr