Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing

Apple • Cupertino, CA

167d • $181,100 - $318,400

About The Position

The Maps Places Data team uses a variety of spatiotemporal signals to improve and maintain the quality of all Places of Interest in the global maps database. We're looking for an ML engineer with the curiosity and expertise to create the next generation of algorithms and processes to solve these challenging problems. Our team is responsible for the accuracy of a variety of attributes for the Points of Interest in the map database. We produce algorithms and processes that can operate globally, leveraging all available signals from aerial imagery to users' feedback.

Requirements

• 7+ years of experience in building large scale machine learning systems.
• Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn.
• Programming skills in Scala, Python, Java, or C++.
• Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies.
• Metrics focused and passionate about delivering models that render high quality results.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Strong problem-solving and communication skills.

Nice To Haves

• Strong spatial aptitude and intuition for algorithm design in the mapping domain.
• Experience with classical computer vision techniques and modern solutions based on foundation models.

Responsibilities

• Develop and maintain large scale machine learning systems.
• Create algorithms and processes to improve the quality of Places of Interest in the global maps database.
• Leverage spatiotemporal signals for data processing.
• Collaborate with cross-functional teams to deliver complex ML-powered features.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree