Senior Data Research Engineer - SPG

Apple Inc.
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Job Description

The Autonomous System’s Perception Data team is in search of a curious and innovative team player who is passionate about data and all its facets and its importance for advancing Machine Learning. Our data team is responsible for all aspects of generating massive multimodal datasets. Join Apple and help us leave the world better than we found it!

Data is vastly becoming one of the most important, if not the most important, area of focus for improving ML performance. The Autonomous System’s Sense Data team’s purpose is to increase the quality, variety, and usefulness of data available to our models. We are responsible for acquiring, processing, annotating and managing the data for our project. People in our team directly work with ML researchers and engineers, as well as other teams (Infrastructure, Operations, etc) to make sure we are always delivering value and keeping our models improving.

Key Qualifications

  • Strong software engineering skills, including being fluent in Python.
  • Attention to detail and creative problem-solving: Do you dig into the data to troubleshoot a problem?
  • Interest and / or experience in data engineering and data pipelines.
  • You have 2+ years of hands-on experience building reliable, scalable Data Pipelines with Python in a scalable cloud environment (AWS, etc).
  • Familiarity with some of the following: Postgres, Presto, REST API development, Spark, cloud development, numpy, pandas, to name a few.
  • Strong technical communication (both written and verbal), prioritization, and time management skills. Strong interpersonal skills to work both with your team and others.
  • Experience with data quality assessment and monitoring a plus.
  • Experience with human annotation / labeling a plus.


You will be a core contributor on the development of our annotation data pipeline, as well as spearheading innovative approaches to improving different aspects of our data. You will work closely with other teams to understand their needs and propose ways to address them, translating them into data products, workflows and services.

Example responsibilities include:

  • Build and improve scalable and robust data pipelines.
  • Move annotation capabilities toward a self-service paradigm.
  • Integrate services with existing visualization and exploration tools.
  • Experiment with the performance gains when using different hypotheses in annotation tasks.
  • Automatically assess quality of annotations based on models.

Company Info.

Apple Inc.

Headquartered in Cupertino, California, Apple Inc. is a multinational technology company that focuses on producing consumer electronics, software, and online services. It holds the distinction of being the world's largest technology company by revenue and the world's biggest company by market capitalization as of June 2022. Apple is the second-largest mobile phone manufacturer and the fourth-largest personal computer vendor by unit sales.

  • Industry
    Computer software,Consumer electronics
  • No. of Employees
  • Location
    1 Apple Park Way, Cupertino, California 95014, USA
  • Website
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