Software Development Engineer - eval Data Science

Software Development Engineer-Eval Data Science

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.

Responsibilities

Support the development of data science libraries and frameworks, guiding data scientist contributions and looking for opportunities for improvements

Monitor, maintain, and improve the reliability and efficiency of data pipelines written by the team

Create new data pipelines to make additional sources of data available for geospatial analyses

Guide architecture and data processing decisions made by the data science team for building data products

Collaborate with engineers across Maps to improve the tooling and platforms for data science and analysis

Minimum Qualifications

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

Preferred Qualifications

Data orchestration systems like Airflow, Dagster, or Prefect

CI/CD tools like Github Actions or Travis CI

Maintaining libraries to support analytical, quantitative, 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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Apple accepts applications to this posting on an ongoing basis.