Engineering Manager, Machine Learning, Navigation

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.9 million registered developers have chosen Mapbox because of the platform’s flexibility, security, and privacy compliance. Organizations use Mapbox applications, data, SDKs, and APIs to create customized and immersive experiences that delight their customers.

What We Do

The Navigation team pioneers solutions for complex routing challenges across industries, employing cutting-edge algorithms and geospatial analysis. From enabling precise turn-by-turn navigation to optimizing delivery routes for expansive truck fleets, our expertise drives essential business operations. We ensure seamless and efficient journeys for both people and products, catering to diverse needs, from meal deliveries to leisurely road trips. Serving customers like BMW, Toyota, Rivian, Instacart, and Strava is at the core of our mission, backed by our commitment to technical excellence and collaborative innovation.

Read about Mapbox Navigation on our blog: https://www.mapbox.com/navigation 

What You'll Do

Mapbox is seeking a Machine Learning Engineering Manager to join our Navigation team during an exciting growth phase. With a background in ML engineering, you'll bring deep expertise in machine learning concepts, algorithms, and project development from scratch to production. You'll lead the team creating cutting-edge machine learning solutions for vital company-wide projects such as HD Mapping, ETA Engine, Roads, and more. Your input and expertise will have a direct impact on business decisions and play a vital role in driving the business forward.

In this role, you can expect to:

• Lead, mentor, and inspire a team of machine learning engineers, fostering a collaborative and innovative culture that promotes continuous learning and development.
• Provide technical leadership to the machine learning team, assisting with technical challenges, guiding architectural decisions, and ensuring that projects align with our technology strategy and business goals.
• Oversee the end-to-end execution of machine learning projects, from problem formulation and data collection to model development, deployment, and monitoring.
• Establish and lead Machine Learning Ops initiatives to support ML deliveries, overseeing tasks like dataset updates, training loops, monitoring internal and production metrics, and ensuring proper versioning of models.
• Collaborate with senior leadership to define the machine learning roadmap and long-term strategy, identifying innovation opportunities and staying updated on industry trends to keep our team at the forefront of AI technology.
• Work closely with product managers, data engineers, and other stakeholders to define project requirements, prioritize tasks, and communicate progress effectively.
• Attract, hire, and retain top machine learning talent, fostering career growth plans for team members through coaching and training opportunities, empowering them to reach their full potential.
• Ensure the quality and reliability of machine learning models and solutions through rigorous testing, validation, and monitoring processes.

What We Believe are Important Traits for This Role

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. Ph.D. is a plus.
• Proven experience (5+ years) in leading and managing machine learning or AI teams.
• Proficiency in programming languages such as Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud computing platforms (in particular AWS)
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A track record of successfully delivering machine learning solutions in a production environment.
• Knowledge of best practices in ethical AI and data privacy is a plus.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value high-performing creative individuals who dig into problems and opportunities.
• We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here.

Mapbox is an EEO Employer - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity

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