AIML - Machine Learning Scientist-Adaptive Devices and Platforms

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Computer Vision (CV), Data structuring, HuggingFace, Machine learning techniques, Objective-C, PyTorch, TensorFlow

Job 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.

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

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 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.