Senior Computer Vision & Generative AI Engineer
Full Time
|
Cupertino, CA
|
Apple Inc.
We are looking for a highly skilled and experienced Computer Vision and Generative AI Engineer to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.
You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms. This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.
Key Qualifications
5+ years building NLP/AI software professionally and successfully releasing to customers5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar fieldA strong track record of shipping products and publications / patentsStrong experience in 3D Computer Vision algorithmsExperience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based modelsExperience in machine learning, preferably in 3D computer vision applicationsSolid foundation in 3D geometry and linear algebraStrong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras)Solid programming skills with c/c++ and swiftExperience with human factors, especially eye tracking and human input interaction.Experience in 3D graphics and renderingExperience in modern Novel View Synthesis methods, suchas NeRF, Gaussian Splatting, etc., is a plusExcellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great designDescription
In this role, you will focus on the following key areas:
You’ll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art.Turn prototypes into automation pipelines and deploying them to production; decidingwhen to use out-of-the-box solutions vs. building custom solutions and utilizing bothOngoing data analysis to build new or fine-tune existing models such as GPT to optimize resultsPartner closely with software engineers to implement these models in our production environment to enable product features for worldwide audienceCommunicate results of analyses to business partners and executivesMaintain expertise in the latest advancements in AI technology. Partner with your team members to prepare presentations, papers, and patents for your inventionsEducation & Experience
Ph.D. in Computer Science, Machine Learning, Computer vision or related field; orS. in related field with 3+ years experience applying Computer Vision machine learning engineer to real business problemsPay & 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 $199,800.00 and $300,200.00, 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.
Qualifications
5+ years building NLP/AI software professionally and successfully releasing to customers
5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field
A strong track record of shipping products and publications / patents
Strong experience in 3D Computer Vision algorithms
Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
Experience in machine learning, preferably in 3D computer vision applications
Solid foundation in 3D geometry and linear algebra
Strong understanding of Python, and related machine learning tools (e.g
TensorFlow, PyTorch, NLTK, spaCy,Keras)
Solid programming skills with c/c++ and swift
Experience with human factors, especially eye tracking and human input interaction
Experience in 3D graphics and rendering
Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design
Ph.D. in Computer Science, Machine Learning, Computer vision or related field; or
S. in related field with 3+ years experience applying Computer Vision machine learning engineer to real business problems
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 $199,800.00 and $300,200.00, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program
Responsibilities
In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience
You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms
This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking
This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation
You’ll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art
Turn prototypes into automation pipelines and deploying them to production; deciding
when to use out-of-the-box solutions vs. building custom solutions and utilizing both
Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results
Partner closely with software engineers to implement these models in our production environment to enable product features for worldwide audience
Communicate results of analyses to business partners and executives
Maintain expertise in the latest advancements in AI technology
Partner with your team members to prepare presentations, papers, and patents for your inventions
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