Machine Learning Engineer, Siri Runtime Systems and Interaction
Job Description
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models and natural language understanding.
- Expertise in using machine learning toolkits such as PyTorch, Hugging Face.
- Design, implement, and optimize machine learning algorithms.
- Integrate groundbreaking research into production frameworks.
- Collaborate closely with product teams before and after feature launch.
- Work multi-functionally with multiple teams, drive requirements and deliver the end solution.
- Evaluate various candidate approaches for optimizing machine learning pipelines for training and inference (algorithm tuning, hyper parameter tuning, hardware and software co-design).
- Write clean, maintainable and production code with appropriate documentation and tests.
- Debug quality related issues in machine learning pipelines.
- Contribute to architecture decisions, design reviews and peer code reviews.
- Strong programming skills in Python and/or C++ for machine learning modeling and applied research.
- Hands-on experience developing end-to-end machine learning systems.
- Strong problem-solving skills.
- Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience.
- Comprehensive medical and dental coverage
- Retirement benefits
- Range of discounted products and free services
- Reimbursement for certain educational expenses (tuition) related to career advancement at Apple
- Discretionary bonuses or commission payments (eligible)
- Relocation (eligible)
- Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
- Opportunity to purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
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.
- 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
- Strong programming skills in Python and/or C++ with demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research
- Hands-on experience developing end to end machine learning systems
- Strong problem solving skills and passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways
- Ability to work under tight schedules and deliver under pressure
- Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams
- Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models and natural language understanding
- Expertise in using machine learning toolkits such as PyTorch, Hugging Face etc.
