AIML - Machine Learning Engineer, Siri Multi-modal Conversations
Full Time
Cupertino, CA
Posted
Job description
Summary
Posted: Apr 4, 2023
Weekly Hours:
40
Role Number:
200472902
Join the Siri multi-modal conversations team at Apple and play a part in the next revolution of human-machine interaction. We are looking for a Machine Learning Engineer to contribute to and influence the development of Siri's next generation as the multi-modal virtual assistant on Apple's latest and most innovative devices. You should be passionate about researching and developing new Siri experiences using data from multiple modalities such as speech, vision, and other sensors arising from human-machine interaction.
Key Qualifications
- Machine learning research and development experience in at least two of the following realms: Human-machine interaction, computer vision, speech recognition, and/or natural language understanding.
- Fluency in programming languages including but not limited to Python/C++.
- Proficiency in at least one major machine learning framework, such as Pytorch Tensorflow, etc.
- Solid background of user study development and data collection to capture natural human-machine interaction
- Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms
- Creativity and curiosity for solving highly complex problems
- Outstanding communication and interpersonal skills with the ability to work well in cross-functional teams.
Description
You will be responsible for research and development of Siri's multi-modal experiences on a full range of Apple's devices. The position requires a passion for researching and developing multi-modal machine learning algorithms and systems. You will partner with the speech, vision, natural language understanding, personalization teams, to deliver the best user experience with Siri. You must have a “make this happen” attitude and be able to collaborate with various teams across Apple, to design user experiences, guide user studies, collect data, and build/train ML models. You are a team player who thrives in a fast-paced environment with rapidly changing goals/priorities.
Education & Experience
Bachelor's or Master's degree in Computer Science, Electronics/Electrical Engineering, or a related field.
Additional Requirements
- Research, design and implementation of machine learning/deep learning algorithms
- Benchmarking and fine-tuning of machine learning/deep learning algorithms
- Optimizing algorithms for real-time and low-power constraints for embedded devices
- Support algorithm integration into Apple products
- Collaboration with innovators across Apple with multidisciplinary skills
- Work closely with engineers from a number of other teams at Apple.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $130,000 and $242,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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