{"title": "Multimodal Generative Modeling Research Engineer - SIML, ISE", "summary": "Are you excited about Generative AI? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We have multiple ongoing efforts involving generative models. We are looking for technical leaders experienced in training, adapting and deploying large scale ML models with a focus on multimodal understanding and generation.", "description": "We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, address growing set of safety challenges to make the model robust and aligned with human values. Ensuring quality in the wild, with an emphasis on model safety, fairness and robustness would constitute a meaningful part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware and design teams cross functionally. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.", "key_qualifications": "3+ years of expertise within ML and Generative Modeling fundamentals Experience adapting pre-trained Vision/Language models for downstream tasks & human alignment Modeling experience at the intersection of NLP and vision Familiarity with distributed training Proficiency in using ML toolkits, e.g., PyTorch You're aware of the challenges associated with the transition of a prototype into a final product Proven record of research innovation and demonstrated leadership in both applied research and development", "preferred_qualifications": "", "education_experience": "M.S. or PhD in Electrical Engineering, Computer Science or a related field (mathematics, physics or computer engineering), with a focus on NLP, 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 $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\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 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.", "company": "apple"}