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

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards building foundational AI capabilities for Hayden that will enable solving complex problems for Hayden AI ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a technical anchor for the team - able to own and deliver complex, long-horizon perception projects while ...

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.

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

Deep Learning Developer information

See Fremont, CA salary details

$19

$42

$55

How much do deep learning developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for deep learning developer in Fremont, CA is $42.08, according to ZipRecruiter salary data. Most workers in this role earn between $35.77 and $46.83 per hour, depending on experience, location, and employer.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

What are the key skills and qualifications needed to thrive as a deep learning developer?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

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

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

Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $87,526 per year, or $42.1 per hour.

Deep Learning Engineer

Matroid

Palo Alto, CA • On-site

$170K - $300K/yr

Full-time

Medical, Dental, Vision

Re-posted 18 days ago

Job description

About Matroid

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

What you'll do

  • Advance the computer vision and deep learning technology powering Matroid's computer vision platform
  • Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
  • Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it

  • Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Knowing that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table

  • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
  • Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
  • 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
  • Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
  • Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
  • Strong software engineering skills - you care deeply about the quality of your code
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if...

  • Specialization in CV, artificial intelligence, machine learning, or related fields
  • Significant computer vision & deep learning academic and/or research experience
  • Prior work experience with applied computer vision in real-world use-cases
  • Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
  • Previous work at high-growth technology startups

What we offer in return

  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Employment Type: FULL_TIME

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