Personalized Generative Modeling Engineer

Key Skills

C Programming, C++, Computer Vision (CV), Data Mining, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch

Job Description

Do you believe generative models can transform smart assistants and creative workflows used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate? We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying personalized client/server ML workflows.

An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Hands on experience with training / adaptation of language models would be an important need! We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.

Key Qualifications

• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks
• Experience handling large scale datasets for data mining / indexing
• Modeling experience at the intersection of NLP and vision
• Familiarity with distributed training
• Proficiency in ML toolkit of choice, e.g., PyTorch
• Strong programming skills in Python, C and C++
• Familiarity with privacy preserving ML is a plus

Description

We are looking for an exceptional candidate help architect future facing client/server workflows leveraging generative models. The role requires innovating at the boundary between personal information stores on device & server side content through multimodal models. Experience with retrieval augmented generation, in context learning, language grounding and model adaptation would be an essential need. You will be interacting closely with a variety of teams across Apple including Client and Server ML teams, Privacy, Hardware, and Design. Primary responsibilities of the role would center around leading cross functional teams towards swift iterations on user experiences grounded on privacy, performance and quality KPIs.

Education & Experience

• MS or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.

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 $161,000 and $278,000, 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.