Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing
Apple
Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing
Job Description
Are you searching for an opportunity that will challenge, encourage and make you proud? If so, our team would like to meet you. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- 7+ years of experience in building large scale machine learning systems. (experience, 7 years)
- 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++ (experience)
- Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies (experience)
- Metrics focused and passionate about delivering models that render high quality results (experience)
- Familiarity with cloud platforms such as AWS, GCP, or Azure. (experience)
- Strong problem-solving, communication, and ability to collaborate with cross-functional teams. (experience)
- Solid track record of delivering complex ML-powered features. (experience)
Preferred Qualifications
- Strong spatial aptitude and intuition for algorithm design in the mapping domain (experience)
- Experience with classical computer vision techniques and modern solutions based on foundation models (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing
Apple
Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing
Job Description
Are you searching for an opportunity that will challenge, encourage and make you proud? If so, our team would like to meet you. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- 7+ years of experience in building large scale machine learning systems. (experience, 7 years)
- 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++ (experience)
- Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies (experience)
- Metrics focused and passionate about delivering models that render high quality results (experience)
- Familiarity with cloud platforms such as AWS, GCP, or Azure. (experience)
- Strong problem-solving, communication, and ability to collaborate with cross-functional teams. (experience)
- Solid track record of delivering complex ML-powered features. (experience)
Preferred Qualifications
- Strong spatial aptitude and intuition for algorithm design in the mapping domain (experience)
- Experience with classical computer vision techniques and modern solutions based on foundation models (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Software Engineer - Large Scale Spatial/Temporal Data Processing @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs