Uber is hiring a ML Engineer Manager II to join the maps team in our Amsterdam tech office and lead the delivery of top tier map offerings that powers our entire business. There is a unique opportunity to lead the effort of map curation and enrichment via inference and models that will help introduce new road network features, improve precision, and find map issues that reduce efficiency or expose road hazards.
You'll have an abundance of datasets to help train and productionize models such as imagery, trip history, versions of basemaps and much more. You'd be expected to transform these to reliable and accurate mechanisms to infer and predict the likes of closures, accidents, traffic, metadata enrichment, and visual validation for defect reports.
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What will you do
- Lead a team of ML engineers and Backend engineers
- Translate business level metrics to an engineering/science problem
- Be responsible for the End to End of the product - ML model pipeline & backend system design, implementation, AB testing, and rollout.
- Own the team vision and strategy
- Be responsible for team delivery across all stake-holding teams
- Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices
- Own the craftsmanship, reliability, and scalability of your solutions
- Hire top performing engineering talent and maintaining our commitment to diversity and inclusion
Basic Qualifications
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field.
- 4+ years hands on experience as an ML engineer.
- 3+ years leading a high performing team.
- Sound understanding of computer architecture and CS fundamentals.
- Strong people leadership skills including growing and mentoring your team members
- Experience with full lifecycle of software development from requirements and design through to development, testing, deployment, and support
- Deep technical expertise and strong problem-solving and data analysis skills
- Experience evolving and communicating a strong vision/roadmap for your team
Preferred Qualifications
- Technical hand-on experience in one or more of the following areas:
- Training using data structures and algorithms
- Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
- Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
- Experience with MapReduce, Spark, and Hive on large datasets.
- 2+ years hands on experience as a BE engineer.
- Experience working on large-scale distributed systems
- Naturally curious and have a burning desire to learn
- Bias to action and proven track record of getting things done!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.