Seattle, WA, 98194, USA
3 days ago
AIML - Machine Learning Scientist-Adaptive Devices and Platforms
AIML - Machine Learning Scientist-Adaptive Devices and Platforms Seattle,Washington,United States Machine Learning and AI The Adaptive Devices and Platforms Team (ADPT) is looking for an outstanding Machine Learning Scientist with a strong background in computer vision who specializes in leveraging and advancing state-of-the-art CV and multimodal models to develop features for Apple products. Are you passionate about incubating and deploying AI-powered technologies and features to millions of Apple users? Our team charter is to prototype next generation capabilities and platforms for new user experiences and/or Apple hardware leveraging the latest advances in foundation models, agentic reasoning, and model optimization. With the rise of multimodal VLM models and the promise of Apple Intelligence, our team offers experts in the field an opportunity to apply their skills to enhancing Apple products everyone loves and even incubating new products. We're an elite team looking for ambitious, strongly technical and creative problem solvers, but also great teammates. Because of the nature of the work, candidates should be comfortable with uncertainty and taking calculated risks. **Description** As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied You will work with a passionate, mission-focused team to conceptualize, rapidly prototype, and ship next-generation technologies and features. To succeed, you must be a proactive and driven problem solver with a proven track record of working across multiple code bases, teams, and organizations. You must enjoy using machine learning to craft transformative new capabilities for Apple products, writing elegant code, and applying innovative new technologies in the service of human-centered design. Overall, this position offers the right person a chance to play a meaningful role in bringing the promise of AI offered by recent advances in generative AI to millions of Apple users in a safe, reliable, and delightful way. It is a chance to “think different” about AI - the Apple way! **Minimum Qualifications** + 4+ years of experience building CV systems using; VLM, diffusion models, multimodal models, etc. + 4+ years of experience with PyTorch and/or TensorFlow on platforms such as Hugging Face + 3+ years applying machine learning methods to products, features and/or services + Practical experience with all aspects of model life-cycle management, including data curation and collection, pre-training and fine-tuning, model evaluation and experimentation, model deployment and debugging, and post-deployment monitoring and updating. + Publications in research communities such as; NIPS, CVPR, etc. + Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.) + Outstanding communication skills with an interest in unraveling sophisticated and nuanced issues + Ph.D. in Computer Science, Electrical Engineering, Statistics, Physics or related fields. **Key Qualifications** **Preferred Qualifications** + Skill in efficiently developing new algorithms, data structures, inference approaches, etc. + Enthusiasm for continuing to stay current on state-of-the-art techniques in the research literature + Excellent interpersonal and collaboration skills + Experience deploying and optimizing CV models and VLMs for specific contexts + Knowledge of ML model optimization technique beyond quantization + Strong familiarity in another domain of AI/ML outside of CV such as NLP, ASR, robotics, multimodality, reinforcement learning, etc. + Experience in C/C++/Objective-C development is optional, but preferred **Education & Experience** **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 $166,600 and $296,300, 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Confirm your E-mail: Send Email