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Freelance Mechanical Engineering Machine Learning Jobs in California

Apple

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We build machine learning models, systems, and software that understands the intents hundreds of ... Software engineering experience with both server-based and client-side (e.g. on-device) models is a ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar ...

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ...

Apple Inc.

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok ...

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Freelance Mechanical Engineering Machine Learning information

What is the difference between Freelance Mechanical Engineering Machine Learning vs Freelance Data Scientist?

AspectFreelance Mechanical Engineering Machine LearningFreelance Data Scientist
CredentialsEngineering degrees, certifications in machine learningStatistics, data analysis, programming certifications
Work EnvironmentEngineering firms, manufacturing, product designTech companies, consulting, research labs
Industry UsageProduct development, automation, roboticsData analysis, predictive modeling, business insights

Freelance Mechanical Engineering Machine Learning professionals focus on applying machine learning techniques to mechanical engineering problems, often within manufacturing or product design. In contrast, Freelance Data Scientists analyze data across various industries to generate insights and predictive models. While both roles require machine learning skills, their industry applications and work environments differ significantly.

Can I do freelancing with machine learning?

Freelance mechanical engineering professionals can incorporate machine learning skills to offer specialized services such as predictive modeling, data analysis, and automation solutions. Success in freelancing with machine learning depends on technical expertise, familiarity with tools like Python or TensorFlow, and a strong portfolio to attract clients. Continuous learning and certification can enhance credibility in this competitive field.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, and predictive maintenance. Gaining skills in programming languages like Python, and understanding machine learning frameworks, can facilitate their transition into this field.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in California?

The most popular types of Mechanical Engineering Machine Learning jobs in California are:

What are popular job titles related to Freelance Mechanical Engineering Machine Learning jobs in California?

For Freelance Mechanical Engineering Machine Learning jobs in California, the most frequently searched job titles are:

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The top searched job categories for Freelance Mechanical Engineering Machine Learning jobs in California are:

What cities in California are hiring for Freelance Mechanical Engineering Machine Learning jobs?

Cities in California with the most Freelance Mechanical Engineering Machine Learning job openings:

Freelance Mechanical Engineering Machine Learning jobs near you

Video Machine Learning Engineer, Audio & Media Technologies

Apple, Inc.

San Diego, CA • On-site

Other

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

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

Apple logo

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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