Proactive Intelligence Research Scientist
2 weeks ago
We are seeking an Applied Research Scientist to join our Proactive Intelligence team at Apple. As a key member of our team, you will design and implement machine learning algorithms that process data in various Apple products. Your expertise in Generative AI and deep reinforcement learning will enable you to train models and agent behaviors to solve complex problems. You will work closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate ML/RL frameworks into our products.
Responsibilities
Design and implement machine learning algorithms for data processing in Apple products
Train Generative AI models and agent behaviors using deep reinforcement learning
Integrate ML/RL frameworks into Apple products for scalable and distributed training/simulation of agent behaviors
Communicate advanced ideas to a focused team of researchers
Work closely with cross-functional teams to align messaging and contribute to roadmaps
Requirements
M.S. or PhD in Computer Science or a related field
Strong programming skills in Python and/or C++ with 5+ years of experience in using these languages for machine learning modeling and applied research
Proficiency in using ML toolkits such as PyTorch, TensorFlow, SkLearn etc.
Fundamental knowledge of ML concepts and hands-on experience in building deep-learning systems
Strong software engineering skills to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
Preferred Qualifications
Familiarity with researching current ML literature and math including optimization methods and modeling techniques
Passionate about building extraordinary autonomous systems with Generative AI
Creative, collaborative, and project-focused with an ability to work hands-on in multi-functional teams
Publications in top-tier conferences in a plus e.g., NeurIPS, ICML, ICLR, ICRA etc. Hands-on development experience within OSS Libraries and RL environments such as OpenAI Gym, MuJoCo, RLLib, Stable Baselines 3, Apple Core ML etc. Experience in applying deep learning to robotics problems and predicting multimodal behaviors for agents via techniques such as MDP, Monte-Carlo methods, TD learning, policy approximations etc. Experience with hardware-specific optimization of ML models and deployment Experience developing software for mobile devices and heterogeneous compute environments (eg. iOS, watchOS)
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 $143,100 and $264,200, 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.
Equal Opportunity Employer
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.
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