At a Glance
- Tasks: Design and deliver innovative AI systems while collaborating across teams.
- Company: Join Mapbox, the leading real-time location platform for modern businesses.
- Benefits: Enjoy hybrid work options, competitive health plans, and generous time off.
- Other info: Be part of a diverse team that values creativity and personal growth.
- Why this job: Make a real impact in AI technology that powers navigation for millions.
- Qualifications: 5+ years in software engineering with experience in AI and data systems.
The predicted salary is between 72000 - 88000 £ per year.
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 you'll do
This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands.
At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.
In this role, you will:
- Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behaviour.
- Formulate hypotheses around the products we build and seek the signal needed to validate them.
- Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results.
- Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer.
- Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land.
- Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments.
- Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current.
- Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints, and decide when to adopt what exists versus build your own.
- Design feedback loops so that using a product generates data that improves it.
- Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases.
- Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched.
- Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure.
- Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams.
- Raise the bar on your team through code and design review, and bring other engineers up on eval practice.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7.
What We Believe are Important Traits for This Role
- Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs.
- 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions.
- Direct experience or deep understanding of designing evaluations for non-deterministic systems.
- Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one.
- Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops.
- Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in.
- Experience diagnosing latency in a distributed request path.
- Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.
- Clear written communication.
Nice to have traits for this role
- Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources.
- Public API or SDK design experience, particularly for developers you never talk to.
- Experience building against MCP or similar tool transports.
- Experience running evals in CI, with a commercial harness or one you built.
- Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience.
- Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word.
- Work under constrained compute, offline, or intermittent connectivity.
- Experience operating a product through its first external integrations, where the customer finds the gaps before you do.
What We Value
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work.
- We emphasise 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.
How we support you
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants. 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.
Senior AI Engineer, Location AI employer: Mapbox
Mapbox is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior AI Engineers to thrive. With a strong emphasis on employee growth, flexible hybrid work options, and comprehensive benefits including private health care and generous family support, Mapbox ensures that its team members are well-equipped to succeed both personally and professionally. The company's commitment to diversity and inclusion further enhances the work environment, making it a rewarding choice for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer, Location AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mapbox or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mapbox.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mapbox.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mapbox that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer, Location AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mapbox.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mapbox and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mapbox
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mapbox uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.