Summary
Posted: Oct 24, 2024
Weekly Hours: 40
Role Number:200550849
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies and its application to virtual assistants to enrich billions of people!? Join the AI/ML Response team at Apple. Our team is responsible for developing cutting-edge machine learning architectures for natural language and speech processing, including projects like Apple Intelligence, with a strong emphasis on agentic capabilities, test generation (NLG), and speech generation (TTS). We are looking for exceptional senior research scientist/engineer experienced in design and development of training, adapting and deploying large scale ML models with a focus on natural language understanding, generation, speech and/or multimodal generation. Additionally, you'll advance and apply the latest ML techniques to Apple's virtual assistant and dive into the details to craft the Siri experience for millions of users worldwide.
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Description
We are seeking a candidate with a strong track record in applied ML research and development, particularly in natural language processing/generation, speech generation/understanding, and/or multimodal models, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for ML researchers who can envision and implement end-to-end solutions while collaborating with other ML researchers, system engineers, and designers to bring research to production. To succeed in this role, you should be an excellent programmer and creative problem solver who enjoys learning, generating new ideas, improving processes, and contributing to system design. You should also thrive as a team player in a dynamic environment with rapidly changing priorities.
- 5-7+ years experience in Machine Learning and its application to NLP, NLG or Speech
- M.S. or PhD in Electrical Engineering, Computer Science or a related field i.e. mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
- Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment
- Experience delivering ML capabilities into great products
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong programming skills in Python, C and C++
Preferred Qualifications
- Experience in JAX (nice to have)
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 $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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
- 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.