AIML - Data Science Engineer, Siri Comprehension and Planning (apple)
apple Cupertino, United States
2024-09-29
Job posting number: #152050 (Ref:apl-200570639)
Job Description
Summary
The Siri team is looking for passionate Data Scientist to join us in developing and shipping innovative technology to advance Siri for Apple’s customers. Siri is being elevated by the huge opportunities that AI brings.
The team is responsible for training and evaluating approaches, opening up the boundaries with the latest research developments, and ultimately delivering product critical models for Siri. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented engineers, and work on meaningful, challenging and novel problems.
The team is responsible for training and evaluating approaches, opening up the boundaries with the latest research developments, and ultimately delivering product critical models for Siri. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented engineers, and work on meaningful, challenging and novel problems.
Description
As a data scientist on the team, you will play a key role in our development. You will have responsibilities ranging from data exploration, advanced statistical modeling, tuning deep learning models and evaluating their performance. You will apply innovative machine learning methods and statistical analysis to continually advance Siri’s capabilities.
At Apple, you will work closely with diverse, cross-functional teams spanning software, research, and product development. You will play a key role in shaping system architecture, designing data-processing pipelines, evaluating code, and participating in code reviews. The ideal candidate will possess a strong passion for applied machine learning, top-notch software engineering skills, and a drive to deliver results. Our team is at the forefront of cutting-edge machine learning technology, constantly striving to create exceptional products for our customers. If this opportunity excites you, we look forward to receiving your application.
At Apple, you will work closely with diverse, cross-functional teams spanning software, research, and product development. You will play a key role in shaping system architecture, designing data-processing pipelines, evaluating code, and participating in code reviews. The ideal candidate will possess a strong passion for applied machine learning, top-notch software engineering skills, and a drive to deliver results. Our team is at the forefront of cutting-edge machine learning technology, constantly striving to create exceptional products for our customers. If this opportunity excites you, we look forward to receiving your application.
Minimum Qualifications
- Hands on experience with handling large datasets and creating data processing pipelines.
- Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triage
- Strong background in Python development and experience using Python for data science work.
- Proficiency in data processing frameworks (Numpy / Pandas)
- Excellent communication: strong interpersonal, verbal and written skills
- Masters or PhD in Computer Science, Machine Learning, Data Science, Engineering or equivalent professional experienceJOB IS FROM: italents.netVIEW
Key Qualifications
Preferred Qualifications
- Experience creating and maintaining large scale, robust machine learning processes for use in a multi-person team
- Experience shipping and improving machine learning models in a production environment
- Experience developing data analytics pipelines for natural language understanding or digital assistants
