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Deep Learning Engineer Jobs in Fremont, CA (NOW HIRING)

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

D. in Electrical Engineering, Computer Science, or related quantitative fields. * Academic or industrial experience applying deep learning or GenAI to real-world problem(s), with impactful results.

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Fremont, CA

Deep Learning Engineer information

See Fremont, CA salary details

$45K

$137.3K

$226.9K

How much do deep learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for deep learning engineer in Fremont, CA is $137,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $179,500.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are popular job titles related to Deep Learning Engineer jobs in Fremont, CA?

For Deep Learning Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in Fremont, CA look for?

The top searched job categories for Deep Learning Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Deep Learning Engineer jobs?

Cities near Fremont, CA with the most Deep Learning Engineer job openings:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $136,286 per year, or $65.5 per hour.

Deep learning team leader - Perception

Imagry

San Jose, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Position: Deep learning team leader - Perception

Position E-mail: imagry.5A.141@comeetapply.com

Location: San Jose, Ca On--Site

We are seeking an experienced and capable Deep Learning Team Leader to join our R&D team. The Team Leader will manage and guide a team of engineers focused on developing and integrating novel vision-based Perception algorithms for our autonomous driving system. In addition to leading the team, the Team Leader will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.

This is a unique opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Position reporting to the Perception Group Leader.

Responsibilities:

Manage and technically lead a team of deep learning engineers, overseeing technical, project management and personal aspects.

Manage Perception projects allocated to the San Jose site.

Work closely with technical leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.

Plan, guide, and lead medium to long-term projects involving multiple engineers.

See projects through from research to deployment.

Supervise complex data pipelines, from the collection stage, through annotation, to models training.

Design and optimize deep neural networks, involving innovative feature engineering.

Take an End-to End responsibility over medium to long-term projects

Devise and implement performance metrics.

Communicate, present and visualize results.

Align the algorithms with the product needs.

Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)

Qualifications:

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage

A proven track record of at least 2 years in managing and technically leading a team of 3 or more engineers, overseeing projects from the brainstorming stage through to successful deployment.

A proven track record of at least 5 years hands-on experience in developing deep learning algorithms.

Experience and knowledge in computer vision and image manipulation algorithms, Object Detection, Segmentation and classification.

In-depth, hands-on knowledge of deep learning fundamentals.

Hands-on experience with deep learning frameworks such as PyTorch.

Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.

Proficiency in Python programming.

Experience in conducting long-term development and/or research projects, in either academia or industry.

Proficiency in English, both written and spoken.

Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company

People management skills

Representative personality

Eligible to work in the US

Skills that are considered an advantage:

Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning

Basic Proficiency in C++.

Experience with Linux.

Source control with git.

Experience with Jira or similar task management software.


Salary- annual range: 190-210 K

PandoLogic. Keywords: Machine Learning Engineer, Location: San Jose, CA - 95192

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