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 4 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 DoThe Location AI team is working on a product that enables rich, natural, and in-depth explorations about places and all dynamic aspects of the world, continuously refreshed using real-time data from Mapbox. As AI applications become the new primary interface for users, we’re building the foundational systems that allow these applications to understand and interact with the physical world in contextually relevant, accurate, and up-to-date ways.
Our team is at the forefront of implementing the model context protocol and AI agent infrastructure that powers this new era of spatial intelligence. We focus on designing interfaces between foundational models and geospatial data, enabling agents to reason about location in ways that feel intuitive and grounded. By treating AI apps as our customer, we craft systems that are modular, scalable, and deeply aligned with how agents learn, plan, and assist.
What You'll DoEvaluate and implement models, ensuring optimal performance, latency, and privacy for a location agent’s natural language understanding.
Integrate models into our AI agent framework, enabling agents to interpret and respond to natural language prompts with grounded, context-aware outputs.
Help design, develop, and manage our MLOps pipeline for training, evaluating, and deploying models for different use cases, languages, and deployment targets.
Collaborate across engineering, product, and design teams to ensure our machine learning and NLP features meet the evolving needs of AI applications and fit within Mapbox’s real-time location intelligence ecosystem.
Stay at the forefront of NLP and ML research, continuously evaluating and implementing new techniques to enhance our team's capabilities and product user experience.
7+ years of relative industry engineering experience.
5+ years of professional experience in machine learning, focused on NLP and transformer models, with an interest in exploring model context protocols.
Technical Proficiency: Strong programming skills in Python, experience with ML frameworks such as PyTorch or TensorFlow, and experience with MLOps and deploying ML models in production environments hosted on AWS.
Strong Product Focus: Ability to translate ML capabilities into tangible product features, understanding that your work directly impacts the end-user experience.
Practical Problem-Solving: Skill in balancing theoretical knowledge with practical implementation, focusing on solutions that work effectively in real-world, in-car environments.
Collaborative Mindset: Willingness to work closely with product, engineering, and design teams to create integrated solutions that meet user needs and business goals.
Adaptability and Learning Agility: Enthusiasm for staying current with rapidly evolving ML technologies and ability to quickly apply new learnings to improve our products.
Iterative Approach: Comfort with rapid prototyping, testing, and refining models based on real-world feedback and usage data.
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 have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
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