AIML - ML Engineer, Siri Multi-modal Systems

Seattle,Washington,United States

Machine Learning and AI

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Build groundbreaking technology for large scale systems, spoken language, computer vision, big data, and artificial intelligence. And work with the people who crafted the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri multi-modal learning team at Apple! The Siri team is looking for machine learning engineer to influence in developing Siriʼs next generation multi-modal assistant on Appleʼs innovative devices and novel features. You should be eager to get involved in hands-on work researching and developing new Siri experiences with multiple input modalities like speech, vision and other sensors.

Key Qualifications

• Machine learning research and development experience on developing systems for computer vision, speech recognition, natural language understanding applications

• Fluency in programming languages including but not limited to Python/Java

• Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch etc.

• Strong understanding of machine learning for different modalities like computer vision, speech processing, natural language understanding

• Proven 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 ability to work well in cross-functional teams

Description

You will be a part of a team that's responsible for help research and develop Siriʼs multi-modal experience in a full range Apple devices. This position requires passion for researching and developing multi-modal machine learning algorithms and systems! The role will partner with the speech, vision, natural language understanding teams to deliver a phenomenal Siri user experience. You must have a “make this happen” attitude and willingness to also work hands-on in building machine learning tools, testing, data collection, running experiments as well as work with pioneering computer vision, speech and natural language understanding processing algorithms. Responsibilities: - 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 teams across Apple with multidisciplinary skills - You'll be working closely with engineers from a number of other teams at Apple - You're a standout colleague who thrives in a fast paced environment with rapidly changing priorities

Education & Experience

MS, PhD or equivalent experience in Computer Science, Electrical Engineering or related field with focus on machine learning

Additional Requirements

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 $131,500.00 and $198,100.00, 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 (https://www.apple.com/careers/us/benefits.html) 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.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race,color,religion,sex,sexual orientation,gender identity,national origin,disability,Veteran status,or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

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