Senior Machine Learning Engineer - Maps

2. Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap.
3. Conduct rigorous experimentation and A/B testing to validate model performance and iterate on improvements.
4. Own projects from initial mathematical formulation through to prototyping, algorithm implementation, and large-scale experimentation in production.
5. Raise the technical bar for the team. You will mentor L3/L4 engineers, lead complex code reviews, and foster a culture of engineering excellence and scientific rigor.

Basic Qualifications

1. Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact.
2. 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions.
3. Proficiency in programming languages such as Python, Scala, Java, or Go.
4. Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures.
5. Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps.

Preferred Qualifications

1. Deep understanding of CS fundamentals, software engineering principles, and modern development methodologies.
2. Direct experience in GIS, matching algorithms.
3. Expertise in large-scale data systems like Spark, Hive, and Presto.
4. Experience building and optimizing gradient boosting and deep learning models.
5. Background in Optimization or Causal Inference applied to business problems.
6. Exceptional problem-solving, critical thinking, and communication skills, with the ability to influence leadership and present complex technical trade-offs to non-technical stakeholders.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it 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.

Client-provided location(s): Amsterdam, Netherlands

Job ID: Uber-151873

Employment Type: FULL_TIME

Posted: 2026-03-12T00:12:41