Mapbox
More roles at MapboxMachine Learning Engineer III, Routing Cost
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Finland
Employer listed it 2 weeks ago · Added 12 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Finland
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
- Where you can work from
Internal applicants located in Germany will be considered for this role.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Finland, Mapbox Helsinki, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Finland, Mapbox Helsinki, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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 Do
The Navigation team at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.
Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT , Mapbox for EV , and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners — including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment.
Mapbox Blog: Introducing 3D Live Navigation
Mapbox Blog: Route Notifications Improve Driver Safety
Mapbox Newsroom: AI Features in New Navigation SDK
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
What You’ll Do
As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include:
Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
Build tools for automated quality assurance and data exploration.
Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms.
Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic.
Mentor colleagues and participate in code and design reviews.
Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
What We Believe are Important Traits for This Role
8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field.
Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage.
Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments.
Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team.
Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine.
Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Mapbox, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 13d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.