Machine Learning Engineer, Siri Systems Software
Apple
Machine Learning Engineer, Siri Systems Software
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Siri is fundamental to how users experience Apple products and services. Our team develops foundational ML systems that power Siri's evolution, translating cutting-edge AI research into seamless user experiences across the Apple ecosystem. We value passion for excellence and a deep commitment to excellence, and if you want to impact millions of customers by working on the most advanced technology solutions, we want to talk to you. The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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.
Skills Required
- proficiency in machine learningintermediate
- proficiency in deep learningintermediate
- designing machine learning algorithmsintermediate
- implementing machine learning algorithmsintermediate
- optimizing machine learning algorithmsintermediate
- applying machine learning backgroundintermediate
- problem-solving skillsintermediate
- developing machine learning solutionsintermediate
- algorithm designintermediate
- algorithm implementationintermediate
- algorithm optimizationintermediate
- integrating research into production frameworksintermediate
- collaborating with product teamsintermediate
Required Qualifications
- Strong programming skills in Python and/or C++ with demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research (experience)
- Hands-on experience developing end to end machine learning systems (experience)
- Strong problem solving skills and passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways (experience)
- Ability to work under tight schedules and deliver under pressure (experience)
- Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams (experience)
- Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience (experience)
Preferred Qualifications
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models and natural language understanding (experience)
- Expertise in using machine learning toolkits such as PyTorch, Hugging Face etc. (experience)
Responsibilities
- The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.
- You will work multi-functionally with multiple teams at Apple, drive requirements and deliver the end solution
- You will help evaluate various candidate approaches for optimizing machine learning pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, hardware and software co-design.
- You will write clean, maintainable and production code with appropriate documentation and tests.
- You will debug quality related issues in machine learning pipelines.
- You will contribute to architecture decisions, design reviews and peer code reviews.
- You will be a force-multiplier, by enabling team-members to be more productive
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Machine Learning Engineer, Siri Systems Software
Apple
Machine Learning Engineer, Siri Systems Software
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Siri is fundamental to how users experience Apple products and services. Our team develops foundational ML systems that power Siri's evolution, translating cutting-edge AI research into seamless user experiences across the Apple ecosystem. We value passion for excellence and a deep commitment to excellence, and if you want to impact millions of customers by working on the most advanced technology solutions, we want to talk to you. The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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.
Skills Required
- proficiency in machine learningintermediate
- proficiency in deep learningintermediate
- designing machine learning algorithmsintermediate
- implementing machine learning algorithmsintermediate
- optimizing machine learning algorithmsintermediate
- applying machine learning backgroundintermediate
- problem-solving skillsintermediate
- developing machine learning solutionsintermediate
- algorithm designintermediate
- algorithm implementationintermediate
- algorithm optimizationintermediate
- integrating research into production frameworksintermediate
- collaborating with product teamsintermediate
Required Qualifications
- Strong programming skills in Python and/or C++ with demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research (experience)
- Hands-on experience developing end to end machine learning systems (experience)
- Strong problem solving skills and passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways (experience)
- Ability to work under tight schedules and deliver under pressure (experience)
- Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams (experience)
- Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience (experience)
Preferred Qualifications
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models and natural language understanding (experience)
- Expertise in using machine learning toolkits such as PyTorch, Hugging Face etc. (experience)
Responsibilities
- The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.
- You will work multi-functionally with multiple teams at Apple, drive requirements and deliver the end solution
- You will help evaluate various candidate approaches for optimizing machine learning pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, hardware and software co-design.
- You will write clean, maintainable and production code with appropriate documentation and tests.
- You will debug quality related issues in machine learning pipelines.
- You will contribute to architecture decisions, design reviews and peer code reviews.
- You will be a force-multiplier, by enabling team-members to be more productive
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer, Siri Systems Software @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs