Software Development Engineer-Eval Data Science
About The Position
Join Apple Maps, where our mission is to build the best map in the world. As a Data Science Software Engineer in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you’ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. DESCRIPTION We seek an experienced software engineer to embed in the data science team to support data science analysis. A major component is supporting prototype metrics, models, and data pipelines that are core to data science work. Additionally, this position will work to build, support, and evolve the frameworks and libraries that help data scientists create data analysis products. Part of the position is hands-on data engineering work, and another part is serving as an internal engineering consultant for data science projects in areas like computation, data access, data storage considerations, and best practices in software engineering. Additionally, you will be working across teams with other engineers embedded in data science teams, and the broader engineering teams in Maps, to contribute to common tools, platforms, and libraries.
Requirements
- Excellent programming skills, preferably in Python
- 4+ Years of experience working with distributed data technologies and large-scale data processing (e.g., Hadoop, Spark, Ray, MPI)
- Experience with cloud-based infrastructure
- Strong communication and collaboration skills, especially with non-software engineering partners
- Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, Engineering or similar quantitative domain
Nice To Haves
- Data orchestration systems like Airflow, Dagster, or Prefect
- CI/CD tools like Github Actions or Travis CI
- Maintaining libraries to support analytical, quantitive, and statistical analyses
- Working with, or even embedded in, data science teams and helping to build prototypes, data pipelines, and models
- Helping mixed technical teams follow software engineering best practices
- Processing geospatial or spatiotemporal data
- Building front-end applications, particularly dashboards or geospatial visualization
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
