高级机器学习工程师
Senior Machine Learning Engineer
关于Agero：
无论驾驶员去往何处，我们都在引领方向。Agero的使命是通过充满激情的人才和数据驱动的技术相结合，重新思考车辆所有权体验，加强客户与客户之间的关系。作为行业领先的B2B、白标数字驾驶员援助服务提供商，我们正在将行业带入新的方向，将手动流程重新定义为数字化、透明化和互联化。这包括：由Swoop支持的行业领先的调度管理平台；全面的事故管理服务；专业的消费者事务和连接车辆功能；以及由强大的合作伙伴生态系统支持的不断扩展的服务、折扣和支持市场。公司与领先的汽车制造商、保险公司等合作伙伴拥有超过1.5亿个车辆覆盖点。管理着全国最大的服务商网络之一，Agero每年处理约1200万次服务事件。Agero是The Cross Country Group的成员公司，总部位于马萨诸塞州梅多斯，业务遍及北美。如需了解更多信息，请访问。
注意：对于我们的技术职位，我们希望您能亲自入职！您可能需要前往梅多斯进行初始入职培训。别担心物流问题——一旦被录用，我们将为您处理所有旅行安排和费用。
职位描述与使命：
高级机器学习工程师在推进我们机器学习计划的能力方面发挥关键作用。该职位在开发和部署前沿算法和模型以提升我们的运营效率和客户满意度指标方面至关重要。
关键成果：
- 设计、开发并实施机器学习模型和算法，以优化运营和服务交付。
- 与跨职能团队紧密合作，定义需求，进行可行性分析，并交付可扩展的解决方案。
- 领导机器学习项目的全生命周期，从构思到部署和维护。
- 确保遵循机器学习的最佳实践，包括模型评估、验证和监控。
- 推动机器学习应用和流程的创新和持续改进。
- 为初级团队成员提供技术指导和辅导。
- 关注机器学习技术的最新进展和技术
查看英文原文
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 .
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:
· United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, Missouri, New Hampshire, New Mexico, New York State, North Carolina, Tennessee, Virginia
The anticipated closing date to submit applications for this role is November 1st, 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.
National Pay Range
$133,800—$180,600 USD
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.
Originally posted on Himalayas