Top 46 apple biomechanics research Jobs

AI Engineer - Multimodal Intelligence
Apple —Sunnyvale, CA
- $147,400 - $272,100 a year
- Computer science
- Computer Science
- 3 years
- Employee stock purchase plan
- Health insurance
6d
Senior Applied Researcher
Apple —San Francisco, CA
- $181,100 - $318,400 a year
- Computer Science
- Doctor of Philosophy
- Mentoring
- Employee stock purchase plan
- Health insurance
13d
CVML Engineer - 3D Reconstruction
Apple —Sunnyvale, CA
- $147,400 - $272,100 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
12d
iOS Software Engineer, Health Research
Apple —San Diego, CA
- $139,500 - $258,100 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
10d
Camera Machine Learning Engineer
Apple —San Francisco Bay Area, CA
- $147,400 - $272,100 a year
- Computer Science
- System design
- Mid-level
- Employee stock purchase plan
- Health insurance
10d
AIML Engineer - Human Perception
Apple —Sunnyvale, CA
- $147,400 - $272,100 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
10d
Human Interface Designer - Instructional Products
Apple —Cupertino, CA
- $147,400 - $272,100 a year
- 5 years
- Presentation skills
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
10d
R&D Technical Artist
Apple —Cupertino, CA
- $172,100 - $258,600 a year
- Full-time
- Mid-level
- Bachelor's degree
- 2 years
- Employee stock purchase plan
- Health insurance
6d
3D Perception/Computer Vision Algorithm Engineer
Apple —Sunnyvale, CA
- $147,400 - $272,100 a year
- Bachelor of Science
- Mid-level
- 3 years
- Employee stock purchase plan
- Health insurance
10d
GenAI Research Engineer
Apple —Cupertino, CA
- $181,100 - $318,400 a year
- Computer Science
- 5 years
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
14d
Machine Learning Video Processing Engineer
Apple —Cupertino, CA
- $147,400 - $272,100 a year
- Computer Science
- Bachelor of Science
- 3 years
- Employee stock purchase plan
- Health insurance
10d
AI/ML - Machine Learning Research Engineer, Machine Translation
Apple —San Francisco Bay Area, CA
- $139,500 - $210,100 a year
- System design
- Mid-level
- 3 years
- Employee stock purchase plan
- Health insurance
10d
Human Factors Engineer/Researcher
Apple —Cupertino, CA
- $147,400 - $272,100 a year
- 3 years
- Master's degree
- Analysis skills
- Employee stock purchase plan
- Health insurance
5d
LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development, SIML
Apple —Seattle, WA
- $139,500 - $258,100 a year
- Bachelor of Science
- Java
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
10d
Human Data Operations Lead - West Coast
Apple —Los Angeles, CA
- $171,600 - $302,200 a year
- Travel
- Psychology
- Senior level
- Employee stock purchase plan
- Health insurance
8d
AI/ML - Applied Research Engineer, Machine Translation
Apple —New York, NY
- $171,600 - $302,200 a year
- Mid-level
- Java
- AWS
- Employee stock purchase plan
- Health insurance
10d
Machine Learning Research Engineer, Generative AI
Apple —Cupertino, CA
- $147,400 - $272,100 a year
- Computer Science
- Office
- Doctor of Philosophy
- Employee stock purchase plan
- Health insurance
10d
Senior Computer Vision Machine Learning Engineer, Apple Wallet
Apple —Austin, TX
- $181,100 - $318,400 a year
- Computer science
- Computer Science
- 5 years
- Employee stock purchase plan
- Health insurance
AIML - Machine Learning Researcher, MLR
Apple —Cupertino, CA
- $147,400 - $272,100 a year
- Computer science
- Computer Science
- Mid-level
- Employee stock purchase plan
- Health insurance
10d
Large Machine Learning Model Optimization Engineer, SIML
Apple —Seattle, WA
- $139,500 - $258,100 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance

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AI Engineer - Multimodal Intelligence

Apple -
Sunnyvale, CA

Apply Now

Job Details

$147,400 - $272,100 a year
6 days ago

Benefits

Employee stock purchase plan
Health insurance
Dental insurance
RSU
Retirement plan

Qualifications

AI models
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Linear algebra
Model deployment
Developing large-scale AI models
Model training
Machine learning libraries
Machine learning frameworks

Full Job Description

Are you excited about the amazing potential of foundation models, LLMs, and multimodal LLMs? We are looking for individuals who thrive on collaboration and have a desire to push the boundaries of what is possible today! The VCV org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. In the Human Intelligence team, we balance research and product to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW, and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of multimodal LLMs, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal LLMs that will inspire future Apple products.

Description

We are seeking highly motivated and skilled engineers to join our Human Intelligence team. The ideal candidates will have strong backgrounds in developing and exploring capabilities of foundation models and agentic AI systems that enable natural, proactive and personalized human interactions. You will be responsible for multimodal LLM development including training, fine-tuning, agentic AI, and reasoning systems.

In this role, you will work on cutting-edge research and engineering problems, collaborating across teams and help shape the technical direction of multimodal and agentic AI systems from research to production. You will lead and contribute to the research roadmap for multimodal foundation models, identifying key opportunities for innovation in agentic AI and reasoning capabilities. You will design and implement agentic systems, and large-scale simulation and evaluation frameworks that can transition from research prototypes to production-grade technologies.","responsibilities":"Develop, train, and fine-tune multimodal LLMs across image, video, text, and audio modalities, from data curation through deployment.

Design and build video/audio encoders, tokenizers, and generative models for multimodal understanding and generation.

Design and implement agentic AI systems that enable reliable reasoning for natural, proactive, and personalized human interactions.

Architect end-to-end ML systems that transition from research prototypes to production-grade technologies at scale.

Collaborate across HW, SW, and ML teams to influence sensor and silicon roadmaps and deliver pioneering on-device experiences.

Critically evaluate and improve ML codebases, ensuring correctness, efficiency, and maintainable engineering quality.

Contribute to the team's research direction, identify opportunities for innovation, and help shape product features.

Preferred Qualifications

PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field with a focus on AI, machine learning, or computer vision.

Demonstrated expertise in developing, training, and fine-tuning multimodal LLMs at scale and developing industry scale agentic products.

Proven track record of technical leadership, including architecting complex ML systems and leading projects from conception to product deployment.

Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.

Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc.

Experience with large-scale distributed training and model parallelism.

Strong communication skills and ability to present research findings to both technical and non-technical audiences.

Minimum Qualifications

Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.

3+ years of relevant academic or industry experience in Machine Learning, Computer Vision, or Artificial Intelligence.

Experience in deep learning with demonstrated work in multimodal systems (e.g. vision, language, video, etc.).

Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.

Experience with foundation models (language or multimodal), including training, fine-tuning, and deployment.

Experience developing, training, and fine-tuning multimodal LLMs.

Strong foundations in optimization, probability, and linear algebra as applied to machine learning and computer vision.

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 $147,400 and $272,100, 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.

Apply Now

Refine Your Search

apple biomechanics research jobs

AI Engineer - Multimodal Intelligence

Senior Applied Researcher

CVML Engineer - 3D Reconstruction

iOS Software Engineer, Health Research

Camera Machine Learning Engineer

AIML Engineer - Human Perception

Human Interface Designer - Instructional Products

R&D Technical Artist

3D Perception/Computer Vision Algorithm Engineer

GenAI Research Engineer

Machine Learning Video Processing Engineer

AI/ML - Machine Learning Research Engineer, Machine Translation

Human Factors Engineer/Researcher

LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development, SIML

Human Data Operations Lead - West Coast

AI/ML - Applied Research Engineer, Machine Translation

Machine Learning Research Engineer, Generative AI

Senior Computer Vision Machine Learning Engineer, Apple Wallet

AIML - Machine Learning Researcher, MLR

Large Machine Learning Model Optimization Engineer, SIML

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