... machine learning. Our team works hard on products that ship to millions of people. We are looking ... Stay current with latest research in generative AI, computer vision and computational photography.
... machine learning. Our team works hard on products that ship to millions of people. We are looking ... Stay current with latest research in generative AI, computer vision and computational photography.
MS or PhD in Computer Science, AI, Robotics, Machine Learning, or a related fields * Deep expertise in one or more of: VLMs, VLA Models, World Models, Reinforcement Learning, Embodied AI, Robot ...
MS or PhD in Computer Science, AI, Robotics, Machine Learning, or a related fields * Deep expertise in one or more of: VLMs, VLA Models, World Models, Reinforcement Learning, Embodied AI, Robot ...
MS or PhD in Computer Science, AI, Robotics, Machine Learning, or a related fields * Deep expertise in one or more of: VLMs, VLA Models, World Models, Reinforcement Learning, Embodied AI, Robot ...
MS or PhD in Computer Science, AI, Robotics, Machine Learning, or a related fields * Deep expertise in one or more of: VLMs, VLA Models, World Models, Reinforcement Learning, Embodied AI, Robot ...
Leading the design and implementation of cutting-edge features that leverage Apple's unique ... ML/AI technology Minimum Qualifications 12+ years of professional experience, with at least 5+ ...
Leading the design and implementation of cutting-edge features that leverage Apple's unique ... ML/AI technology Minimum Qualifications 12+ years of professional experience, with at least 5+ ...
... edge Integrated Circuit (IC) packages. You will pioneer new characterization methodologies ... Familiarity with Gen-AI, Machine Learning, and statistical data analysis is highly desirable.
... edge Integrated Circuit (IC) packages. You will pioneer new characterization methodologies ... Familiarity with Gen-AI, Machine Learning, and statistical data analysis is highly desirable.
... edge Integrated Circuit (IC) packages. You will pioneer new characterization methodologies ... Familiarity with Gen-AI, Machine Learning, and statistical data analysis is highly desirable.
... edge Integrated Circuit (IC) packages. You will pioneer new characterization methodologies ... Familiarity with Gen-AI, Machine Learning, and statistical data analysis is highly desirable.
Sr. Software QA Engineer - Automation, Siri
$144K - $263K/yr
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered ... machine learning models Experience with developing test strategies, including: writing test plans ...
Sr. Software QA Engineer - Automation, Siri
$144K - $263K/yr
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered ... machine learning models Experience with developing test strategies, including: writing test plans ...
... AI & Frontier Models organization. In this role, you'll lead applied research and system development at the intersection of machine learning, spatial reasoning, and construction data to solve some of ...
... AI & Frontier Models organization. In this role, you'll lead applied research and system development at the intersection of machine learning, spatial reasoning, and construction data to solve some of ...
Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Bodega Bay, CA · On-site
The Role As a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals ... Use AI and agents to accelerate development, analysis, testing, documentation, and operations while ...
Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Bodega Bay, CA · On-site
The Role As a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals ... Use AI and agents to accelerate development, analysis, testing, documentation, and operations while ...
Sr Staff R&D Engineer
$206K - $276K/yr
You will architect, build, and optimize cutting-edge machine learning systems at scale-leveraging ... on AI/ML and mult-imodal signal processing. * 5 years of professional experience in applied ML ...
Sr Staff R&D Engineer
$206K - $276K/yr
You will architect, build, and optimize cutting-edge machine learning systems at scale-leveraging ... on AI/ML and mult-imodal signal processing. * 5 years of professional experience in applied ML ...
Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data ...
Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data ...
Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data ...
Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data ...
You will integrate AI, data management, and analytics on LBNL computing infrastructure while applying statistical and machine learning methods to bioprocess models, mentoring a small team of ...
You will integrate AI, data management, and analytics on LBNL computing infrastructure while applying statistical and machine learning methods to bioprocess models, mentoring a small team of ...
Head of AI & Data
$135K - $163K/yr
Strong background in machine learning, data engineering, or applied AI * Experience working with large-scale datasets and model pipelines * Hands-on ability to design and ship systems (not just ...
Head of AI & Data
$135K - $163K/yr
Strong background in machine learning, data engineering, or applied AI * Experience working with large-scale datasets and model pipelines * Hands-on ability to design and ship systems (not just ...
NESAP is about employing cutting-edge computational science techniques and advanced performance ... and Machine Learning on Doudna and future NERSC supercomputing systems. We're here for the same ...
NESAP is about employing cutting-edge computational science techniques and advanced performance ... and Machine Learning on Doudna and future NERSC supercomputing systems. We're here for the same ...
Strong background in machine learning, data engineering, or applied AI * Experience working with large-scale datasets and model pipelines * Hands-on ability to design and ship systems (not just ...
Quick apply
Strong background in machine learning, data engineering, or applied AI * Experience working with large-scale datasets and model pipelines * Hands-on ability to design and ship systems (not just ...
... edge hardware with intelligent software experiences, powered by advanced machine learning ... Preferred Qualifications Experience in AI engineering and ML system is a plus. Experience with ...
... edge hardware with intelligent software experiences, powered by advanced machine learning ... Preferred Qualifications Experience in AI engineering and ML system is a plus. Experience with ...
Principal AI Engineer (Software & AI Labs)
Santa Rosa, CA · On-site
$147K - $197K/yr
Neural Networks, Machine learning, MLOps. * Data engineering for AI use cases (extract-transform-Load (ETL); embeddings, vector stores), and ML Ops practices. * Security & compliance: Working ...
Principal AI Engineer (Software & AI Labs)
Santa Rosa, CA · On-site
$147K - $197K/yr
Neural Networks, Machine learning, MLOps. * Data engineering for AI use cases (extract-transform-Load (ETL); embeddings, vector stores), and ML Ops practices. * Security & compliance: Working ...
Principal AI Engineer (Software & AI Labs)
Santa Rosa, CA · On-site
$147K - $197K/yr
Neural Networks, Machine learning, MLOps. * Data engineering for AI use cases (extract-transform-Load (ETL); embeddings, vector stores), and ML Ops practices. * Security & compliance: Working ...
Principal AI Engineer (Software & AI Labs)
Santa Rosa, CA · On-site
$147K - $197K/yr
Neural Networks, Machine learning, MLOps. * Data engineering for AI use cases (extract-transform-Load (ETL); embeddings, vector stores), and ML Ops practices. * Security & compliance: Working ...
Define product behavior across success paths, failures, and edge cases * Set and own metrics for ... AI or ML-driven products * Deep technical intuition around machine learning systems, including ...
Define product behavior across success paths, failures, and edge cases * Set and own metrics for ... AI or ML-driven products * Deep technical intuition around machine learning systems, including ...
Edge Ai Machine Learning information
See Rohnert Park, CA salary details
$28.2K - $34.5K
5% of jobs
$36.6K is the 25th percentile. Wages below this are outliers.
$34.5K - $40.8K
59% of jobs
$40.8K - $47.1K
9% of jobs
$47.6K is the 75th percentile. Wages above this are outliers.
$47.1K - $53.4K
17% of jobs
$53.4K - $59.7K
4% of jobs
$59.7K - $66K
2% of jobs
$66K - $72.3K
3% of jobs
$72.3K - $78.6K
0% of jobs
$78.6K - $84.9K
0% of jobs
$84.9K - $91.2K
0% of jobs
$91.2K - $97.5K
0% of jobs
$28.2K
$47.2K
$97.5K
How much do edge ai machine learning jobs pay per year?
What is an Edge AI Machine Learning job?
An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.
What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?
One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.
What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?
To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted 19 days ago
Apple rating
8.1
Based on 670 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
The Computational Imaging team develops the camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to re-define mobile photography. In this role, you will work hands-on with diffusion models, transformers and next-gen generative techniques, while collaborating closely with product, design and research teams to bring your ideas to life. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.
Description
Design novel generative model architectures and training strategies for vision and computational photography applications.
Fine-tune and adapt pre-trained models for specific use cases and domains.
Build scalable and robust data pipelines for large-scale image and video datasets.
Develop comprehensive evaluation frameworks including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.
Conduct deep technical analysis and identify research directions.
Participate in code reviews, technical discussions and knowledge sharing sessions.
Communicate complex technical concepts through clear documentation and presentations.
Stay current with latest research in generative AI, computer vision and computational photography. Translate findings into practical applications.
Preferred Qualifications
Minimum PhD + 2 years or MS + 5 years industry experience.
Expertise in image processing, computer vision and deep learning.
Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.
Proven experience with training and developing generative models.
Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.
Curiosity-driven with a track-record of identifying and solving complex technical problems.
Excellent communication skills and an ability to bridge gap between technical depth and product impact.
Collaborative mindset with openness to feedback and continuous learning.
Publications at major conferences (CVPR, ICCV, NeurIPS, ICML) or open-source contributions would be a plus.
Minimum Qualifications
PhD or MS + 3 years industry experience.
Solid foundation in image processing, computer vision and deep learning fundamentals.
Academic or project experience with image/video generation models.
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 $150,400 and $277,600, 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.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976