Apple
Applied Machine Learning Scientist - Visual Generation Job at Apple in Seattle
- +3
- +6
- United States
- +3
- +6
- United States
Über
Applied Machine Learning Scientist - Visual Generation — Seattle, Washington, United States Industry: Machine Learning and AI Responsibilities
Design and develop pioneering generative models for visual content such as image, video, and 3D. Stay at the forefront of artificial intelligence and machine learning advancements. Continuously exploring and evaluating new technologies and methodologies to enhance the technical capabilities of the team. Push boundaries by rapidly prototyping ideas, testing hypotheses, and exploring novel approaches to visual generation challenges, including exploring new architectures ranging from diffusion, auto-regressive, multi-modal generation and/or hybrid approaches. Partner with world-class researchers, engineers, and designers to transform prototypes into robust, production-ready features that will delight users while maintaining Apple\'s standards for quality and privacy. Explore distillation and optimization techniques to enable models to run efficiently while maintaining quality. Present work directly to executive leadership and shape the roadmap for how AI will transform creative tools across Apple\'s ecosystem. Minimum Qualifications
M.S. in Computer Science, Machine Learning, Computer Vision or related field. Solid understanding and experience with recent visual generative AI models, such as multi-modal LLMs, and diffusion-based large vision models. Proficiency in Python, and experience with ML toolkits, e.g., PyTorch, JAX etc. Knowledge of and proficiency with ML-based product lifecycle, and methods for model training, statistical analysis and data science. Preferred Qualifications
5+ years of industry or academic experience in CVML and an advanced degree (M.Sc. / Ph.D.) in CS, CVML or similar field. Hands-on experience with building, training from scratch and scaling innovative visual generation models, such as large image/video diffusion models, multi-modal LLMs, contrastive learning models, or other visual foundation models. Strong software engineering skills to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems. Comfort with researching current ML literature and math including optimization methods and modeling techniques. Proven track record in research, innovation and/or delivering ML products, demonstrated through publications in top-tier venues, patents, or impactful software developments. Strong collaboration skills in a multi-functional setting, and ability to leverage partnerships to drive outcomes and deliver impact at scale. Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to participate in discretionary employee stock programs, including restricted stock units and employee stock purchase plans. Benefits include comprehensive medical and dental coverage, retirement benefits, product discounts and services, and educational expense reimbursement for career advancement. This role may be eligible for discretionary bonuses or relocation assistance. Learn more about Apple Benefits. Notes
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 seek to promote 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. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law. Apple is committed to providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy apply. Apple is a drug-free workplace. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Wünschenswerte Fähigkeiten
- Computer Vision
- Data Science
- Deep Learning
- Machine Learning
- PyTorch
- Python
Berufserfahrung
- Frontend
- Machine Learning
- Computer Vision
Sprachkenntnisse
- English