Senior Machine Learning Engineer, HD Maps
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.
On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) products family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost and performance assessments.
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.
Joining us as a Machine Learning Engineer, you'll play a key role in one of the aspects of developing software and tech for improving map features, navigation, and high-definition maps. You'll bring your experience and skills to our exciting project within a competent, cross-functional, passionate, and self-organized team.
In this role, you can expect to:
- Take ownership of ML projects across the company;
- Design and implement new feature extraction pipelines from open source and proprietary data;
- Collect and monitor technical and business metrics;
- Assume a key position in deliberating and implementing security best practices.
- 5+ years of hands-on experience with Machine Learning / Data Science;
- Good knowledge of Python (or any other programming language);
- Proficient in SQL operations;
- End-to-end solution support;
- Basic understanding of distributed computing principles;
- To be creative, resourceful and innovative problem solver;
- Good communication skills in English, both written and spoken.
- Hands-on experience with Spark / PySpark / MapReduce;
- Deep Learning / LMM will be a plus;
- Experience with Hadoop (or similar) Ecosystem;
- Experience with workflow management tools (Airflow / Oozie / Luigi / Prefect);
- Experience with AWS services, in particular S3, EC2, IAM, EMR, Glue, Athena, Lambda.
- 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.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
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