Principal ML Engineer

About Nimbus Data Systems: Wherever drivers go, we’re leading the way. Nimbus Data Systems’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, Nimbus Data Systems responds to approximately 12 million service events annually. Nimbus Data Systems, 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: Nimbus Data Systems’s Motor Club handles millions of roadside events every year. We’re piloting a next-gen Dispatch System that fuses short and long-term horizon optimizers to decide who gets which job, when, and why. You will be instrumental in developing, evaluating and productionizing this system, building out the prediction models, incorporating them into the optimizer and leading the team to a successful outcome. Key Outcomes: Architect & ship: Design end-to-end Python services (batch + streaming) that ingest model outputs, run constrained optimization, and surface real-time dispatch decisions. Model & simulate: Build/extend ML models (gradient-boosting, deep learning, OR-Tools) and run time-horizon simulations to quantify cost vs. service-level trade-offs. Operationalize: Automate training, validation, A/B rollout, and monitoring (SageMaker / Airflow). Lead & collaborate: Partner with Product, Ops, and Data Engineering; mentor a small squad of ML engineers; present findings to execs. Continuously improve: Instrument NPS / cost telemetry, identify failure modes, and iterate. Skills, Education, & Experience: 6 + yrs experience in ML Engineering with ownership of production systems. Expert-level Python. Hands-on optimization (Mixed Integer Programming / Linear Optimization / Stochastic Optimization) and modern ML (XGBoost, PyTorch). Proven record designing cloud-native pipelines on AWS, GCP or Azure (AWS). Strong SQL, feature-store design, and data-quality mindset. Nice to Haves: Experience with dispatch, logistics, or supply-demand marketplaces. Familiarity with Monte-Carlo tree search, multi-agent simulation, or hierarchical RL. Prior work balancing short-term incentives against long-term KPIs (e.g., LTV, NPS) Ability to translate business objectives into mathematically rigorous experiments. Sound like a fit? Reach out with a link to your GitHub or a brief project write-up. Hiring In: United States: AZ, CA, FL, GA, NH, IL, KY, MA, MI, NC, NM, NY, TN, VA, CO, TX The anticipated closing date to submit applications for this role is July 18th, 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 Nimbus Data Systems to employees. National Pay Range $150,000 — $200,000 USD Life at Nimbus Data Systems: At Nimbus Data Systems, 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, Nimbus Data Systems 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: Nimbus Data Systems’s innovation is driven by a workforce where all associates feel like they can truly thrive. Nimbus Data Systems 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 Nimbus Data Systems 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.