Machine Learning Research Engineer Job ID- 959 Job ID- 3192

MaziCTools; United States; À distance; USD 143 000 - 215 000; Plein temps

Avantages offerts par ce poste

Medical and dental coverage

Retirement benefits

Discounted products and services

Tuition reimbursement

Bonuses or commissions

Résumé du poste

Apple is seeking a senior technical leader to architect and deploy production-scale multimodal ML. You will lead diverse cross-functional efforts across ML modeling, prototyping, validation, and private learning. Experience with training and adapting large language models is essential to the role.

The team focuses on multimodal ML spanning vision, NLP, and privacy-preserving learning, collaborating with researchers, software, hardware, and design teams to advance user-facing experiences.

Qualifications

• Hands-on experience training LLMs and adapting pre-trained models.
• Modeling at the intersection of NLP and vision.
• Familiarity with distributed training and ML tooling like PyTorch.

Responsabilités

• Train large-scale multimodal (2D/3D vision-language) models on distributed backends.
• Deploy compact neural architectures on device with efficiency.
• Develop learning policies that personalize user experience while preserving privacy.

Connaissances

LLMs training

LLM adaptation

NLP & vision

Distributed training

PyTorch

Python/C/C++

Formation

MS or PhD in CS or related field

Description du poste

Cupertino, California, United States

Weekly Hours: 40

Summary

Do you believe generative models can transform creative workflows and smart assistants 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 production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large 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.

Selected references to our team’s work

• https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon
• https://machinelearning.apple.com/research/on-device-scene-analysis
• https://machinelearning.apple.com/research/panoptic-segmentation

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, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, 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. 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.

Minimum Qualifications

• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• 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++

Preferred Qualifications

• M.S. 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 $143,100 and $214,500, 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 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
• for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
• discretionary bonuses or commission payments
• relocation