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Phd Electrical Engineering Machine Learning Jobs

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139K - $258K/yr

MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field with a focus on video or visual computing. * Experience with video codec and compression techniques ...

ISEE

Research Scientist - Machine Learning

... PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field - Passionate about self ...

ISEE

Research Scientist - Machine Learning

... PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field - Passionate about self ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

Required : • 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields. • Strong experience in machine learning, with a focus on edge AI and lightweight model ...

Serve Robotics

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Senior Data Science & Machine Learning Engineer Location: Remote, USA (Client Location ZIP: 01730 ... Engineering, Statistics, Mathematics, or related field. * Master's degree or PhD is a plus.

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. • 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. * 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

Susquehanna

Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Collaborate with researchers, developers, and traders to improve existing models and explore new ...

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Phd Electrical Engineering Machine Learning information

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$50.5K

$111.1K

$168K

How much do phd electrical engineering machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for phd electrical engineering machine learning in the United States is $111,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a PhD in electrical engineering with a focus on machine learning?

A PhD in Electrical Engineering with a focus on Machine Learning is an advanced research degree that combines core principles of electrical engineering with in-depth study of machine learning algorithms and their applications. Students in this program typically work on developing new methods and technologies that intersect areas such as signal processing, robotics, computer vision, or communications, using machine learning techniques. Graduates are prepared for careers in academia, industrial research, or advanced development roles in technology companies, where they contribute to innovations in automation, intelligent systems, and data-driven engineering solutions.

What types of interdisciplinary collaboration can I expect as a PhD in electrical engineering specializing in machine learning?

As a PhD in Electrical Engineering with a focus on Machine Learning, you will often collaborate with professionals from diverse fields such as computer science, data science, biomedical engineering, and even business or product management. These collaborations might involve working on projects like intelligent sensor systems, autonomous vehicles, or advanced signal processing, where combining expertise is essential for innovation. You'll likely participate in cross-functional team meetings, joint research publications, and interdisciplinary grant proposals, which can broaden your technical skills and expand your professional network.

What are the key skills and qualifications needed to thrive as a PhD electrical engineer specializing in machine learning, and why are they important?

To thrive as a PhD Electrical Engineer specializing in Machine Learning, you need advanced knowledge of signal processing, statistical modeling, and algorithm development, typically supported by a doctoral degree in electrical engineering or a related field. Proficiency with programming languages such as Python or MATLAB, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with hardware integration are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex technical concepts and collaborate with multidisciplinary teams. These skills ensure the successful design, implementation, and deployment of innovative machine learning solutions to solve challenging engineering problems.

What is the difference between Phd Electrical Engineering Machine Learning vs Data Scientist?

AspectPhd Electrical Engineering Machine LearningData Scientist
Required CredentialsPhD in Electrical Engineering or related, strong machine learning expertiseTypically a master's or PhD in Data Science, Computer Science, or related
Work EnvironmentResearch labs, academia, R&D departments in tech and engineering firmsBusiness, tech companies, consulting firms, often collaborative teams
Industry UsageResearch, development, specialized engineering projects involving ML algorithmsData analysis, predictive modeling, business insights

While both roles involve machine learning, a Phd Electrical Engineering Machine Learning focuses on advanced research and development in engineering contexts, whereas a Data Scientist applies ML techniques to analyze data and generate business insights. The former emphasizes technical depth and research, the latter emphasizes data analysis and communication skills.

What are popular job titles related to Phd Electrical Engineering Machine Learning jobs?

For Phd Electrical Engineering Machine Learning jobs, the most frequently searched job titles are:

Video Machine Learning Engineer, Audio & Media Technologies

San Diego, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 17 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime, AirPlay, and TV+. This is your opportunity to push the boundaries of what's possible in video understanding, processing, and delivery, and to see your work come to life in products used by hundreds of millions of people worldwide.
Description
As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is experienced across Apple's ecosystem. You will collaborate with a world-class group of researchers and engineers to tackle challenging problems in video processing and understanding - from crafting novel neural network architectures to optimizing models for on-device performance. Your work will span the full lifecycle of innovation: researching state-of-the-art techniques, prototyping new ideas, training and evaluating models, and shipping production-quality solutions that delight users. If you thrive at the intersection of deep learning research and real-world product impact, this role will give you the platform to do the best work of your career.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, Machine Learning, or a related field
Strong foundation in deep learning and neural network design, including hands-on experience building, training, and deploying models.
Proficiency in one or more deep learning frameworks such as PyTorch or TensorFlow.
Experience with computer vision and/or image and video processing techniques.
Strong programming skills in Python and/or C/C++, with demonstrated ability to debug and solve complex technical problems.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field with a focus on video or visual computing.
Experience with video codec and compression techniques, including familiarity with standards such as H.264, H.265/HEVC, AV1, or VVC.
Knowledge of ML-based image and video codecs, including neural compression and learned representations.
Experience with diffusion models and generative approaches for image and video synthesis or enhancement.
Familiarity with advanced video quality metrics (e.g., VMAF, LPIPS, DISTS) and perceptual quality evaluation methodologies.
Experience optimizing and deploying neural networks on edge devices or mobile platforms.
Published research in top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) in relevant areas.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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