Join the Sensing and Connectivity - Location Context team that powers critical experiences in Apple products. Our team works on providing personalized insights from users' daily patterns through multimodal sensing and AI models. This team combines
advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights for Maps, Fitness, Journal - among many more. As a
member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will delight and inspire our customers. Additionally, you will have the opportunity to work on cutting-edge location intelligence features
powered by ML models across various operating systems, including iOS and watchOS. We develop science-backed designs of AI/ML models that capture the complex interplay of human health and behavior, providing valuable insights directly to our customers.
We foster innovation and embrace new technology to enhance our creative capabilities. We are seeking an engineer with a fundamental understanding of ML, the ability to validate these models, and the supporting software pieces. If this is you, we would
be delighted to hear from you.
Description
The Sensing and Connectivity QE team is looking for a Software Development Engineer in Test to validate the algorithms and AI models behind our location context features. We work in a fast-paced environment that depends on a tight relationship between
test and development.
Minimum Qualifications
BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical Engineering or equivalent.
Experience in validating AI models, crafting benchmarks and evaluation protocols, and performing statistical analysis.
Proficient in designing AI-assisted workflows, using GenAI to automate and accelerate testing, debugging, and metrics analysis.
Proficient at coding in Python and/or MATLAB.
Proficient at data analysis, data visualization, and reporting.
Preferred Qualifications
Familiarity with building data-collection and replay tooling and evaluation pipelines for large-scale data processing.
Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, and indices.
Familiarity testing hardware and/or testing software (including designing, implementing, and executing test plans) is a plus.
Detail-oriented, able to find bugs, investigate and debug issues, and drive solutions to difficult problems.
Excellent analytical and problem-solving skills, self-motivated, persistent, and solution-oriented.
Passionate about location technologies and fitness.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: fffb3101fe5ccb92d81a595b172795f9
- Posted 1 day ago
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