The point where experts and best companies meet
Apple Proactive Intelligence Applied Research Scientist Manager— Generative AI United States, Washington, Seattle 747467677
21.09.2024
Share
Description
As an Applied Research Scientist on our team, you will design and implement ML algorithms that process data in different Apple products. You will train Generative AI models and agent behaviors using deep reinforcement learning to solve hard problems/tasks. Where necessary, you will also work on integrating ML/RL frameworks into our products to train large-scale agents and leverage cloud services to enable scalable and distributed training/simulation of agent behaviors. You will communicate advanced ideas to a focused team of researchers in the spirit of developing innovative tools and metrics that change the way we look at problems. You will work closely with other cross-functional teams to align messaging, contribute to roadmaps and contribute software back into different repos for proper integration with core systems. You will write clean, maintainable and production code with appropriate documentation and tests. You will contribute to architecture decisions, design reviews and peer code reviews.
Minimum Qualifications
- M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience. A minimum of 5 years of experience in applied ML and/or product development
- Strong programming skills in Python and/or C++ with 5+ years of experience in using these languages for machine learning (ML) 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
- Proven ability to train and debug deep learning systems: defining metrics and datasets, performing error analysis and training models in a modern ML framework
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 viatechniques 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 heterogenous compute environments (eg. iOS, watchOS)
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.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.
These jobs might be a good fit
