Natural Language Generative Modeling Research Engineer
2 weeks ago
Natural Language Generative Modeling Research Engineer - SIML, ISE
Cupertino,California,United States
Machine Learning and AI
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing and shipping the next generation of core technologies to enable system wide experience The mission of Robustness & Safety AI team is to develop core technologies to ensure safety on Apples devices and services. This includes technologies to ensure communication safety for our users as well as to ensure ML models and features built on top of generative AI are robust and safe. The team comprises of domain experts in NLP, Computer Vision, and ML Fairness who contribute to significant system wide safety experience. Our team provides an opportunity to be part of an incredible research and engineering organization focusing on System Intelligent Machine Learning (SIML) within Apple. An ideal candidate will have solid ML fundamentals and ability to turn research contributions into products. Proven experience in Conversation Understanding and Synthesis, Reinforcement and Human Preference Learning, and Large Language Model Training are essential for this role. SELECTED REFERENCES TO OUR TEAMS WORK: Communication Safety & Sensitive Content Warning
**Description**
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
**Minimum Qualifications**
**Key Qualifications**
years experience in Machine Learning and NLP fundamentals
+ Hands on experience training LLMs
+ Experience adapting pre-trained LLMs for downstream tasks & human alignment
+ Familiarity with distributed training
+ Proficiency in using ML toolkits, e.g., PyTorch
+ Strong programming skills in Python, C and C++ You're aware of the challenges associated to the transition of a prototype into a final product
**Preferred Qualifications**
**Education & Experience**
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
**Additional Requirements**
**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 $170,700 and $256,500, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
+ 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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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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
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