AIML - Machine Learning Engineer - Siri & Information Intelligence (SII)
Apple Inc
Santa Clara Valley (Cupertino), CA
Job posting number: #7197952 (Ref:apl-200519194)
Posted: November 16, 2023
Job Description
Summary
We are looking for engineers passionate about using machine learning to build intelligent search
applications. In this highly accomplished, deeply technical, and close-knit team of machine
learning specialists, software engineers, and infrastructure experts, you will create products that are used by millions of people. Our team researches new machine learning algorithms, models, and techniques that will power amazing search experiences across Apple products. We are looking for new ambitious team members to join our ML group. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people!
applications. In this highly accomplished, deeply technical, and close-knit team of machine
learning specialists, software engineers, and infrastructure experts, you will create products that are used by millions of people. Our team researches new machine learning algorithms, models, and techniques that will power amazing search experiences across Apple products. We are looking for new ambitious team members to join our ML group. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people!
Key Qualifications
- In-depth knowledge of machine learning algorithms and ability to apply them in data driven
- natural language processing systems
- Strong coding and software engineering skills in a mainstream programming language, such
- as Python, Go, C/C++.
- Familiarity with NLP/ML tools and packages like Jax, TensorFlow, PyTorch etc
- Hands-on experience building production quality applications related to natural language
- processing and machine learning.
- Ability to quickly prototype ideas and solutions, perform critical analysis, and use creative
- approaches for solving complex problems
- Quick learner who can work independently as well as in a team
Description
As a member of this team, you have the chance to design and evaluate new algorithms, models
and methods that will impact Apple and the broad ML community.
Your responsibilities include:
- Researching, developing, and implementing innovative language modeling techniques to
further enhance language understanding capabilities at Apple.
- Building novel applications of LLMs to various search problems.
- Transferring novel machine learning solutions to improve various search and assistant
product use cases.
- Implementing and launching end-to-end user-facing improvements using performant and
efficient ML models.
- Implementing tools, data pipelines, and evaluation frameworks to enable the development,
iteration, and launching of ML ideas within the product scope.
- Analyzing the loss patterns in the current search and assistant stack and coming up with
new features, algorithms, and techniques to resolve those losses to improve the top-line
product metrics.
- Collaborating with various product team members across the company and partnering with
them to apply language understanding models to new product areas and use cases.
- Work on continuously improving the metrics and performance of models the team has
launched in production by leveraging pioneering ML techniques.
and methods that will impact Apple and the broad ML community.
Your responsibilities include:
- Researching, developing, and implementing innovative language modeling techniques to
further enhance language understanding capabilities at Apple.
- Building novel applications of LLMs to various search problems.
- Transferring novel machine learning solutions to improve various search and assistant
product use cases.
- Implementing and launching end-to-end user-facing improvements using performant and
efficient ML models.
- Implementing tools, data pipelines, and evaluation frameworks to enable the development,
iteration, and launching of ML ideas within the product scope.
- Analyzing the loss patterns in the current search and assistant stack and coming up with
new features, algorithms, and techniques to resolve those losses to improve the top-line
product metrics.
- Collaborating with various product team members across the company and partnering with
them to apply language understanding models to new product areas and use cases.
- Work on continuously improving the metrics and performance of models the team has
launched in production by leveraging pioneering ML techniques.
Education & Experience
Bachelors in Computer Science or relevant fields with a strong academic track record. MS or
PhD in Computer Science or relevant fields
PhD in Computer Science or relevant fields
Additional Requirements
- - Experience with large language models
- - Experience with cloud stack like AWS or GCP with Kubernetes is a plus
Pay & Benefits
Apply Now
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