ZipRecruiter

Log In

1

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

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

They are seeking a Deep Learning Field Engineer to train and deploy CV models, integrate systems, and empower customers with CV solutions. Responsibilities : • Train state-of-the-art CV models ...

Skydio

Senior Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$63 - $81.25/hr

Required : • Demonstrated hands-on experience creating and deploying deep learning models • Experience curating synthetic and real-world image datasets • Solid software engineering foundation ...

previous pagenext page

Showing results 21-40

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 9, 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 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 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 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 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 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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,526 per year, or $42.1 per hour.

Deep Learning Field Engineer

Matroid

Palo Alto, CA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision

Re-posted 8 days ago

Job description

About Matroid

With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.

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 range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.

You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

What you'll be doing

  • Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.
  • Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).
  • Integrate Matroid into inspection workflows and third party systems, such as manufacturing execution systems, safety alert systems and video management systems.
  • Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.
  • Act as the technical expert, advising on all matters from technical scoping of engagements to model training, deployment and integration.
  • Empower customers with CV by designing and leading product training sessions.

How you'll be doing it

  • You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.
  • You will be a product expert - selecting the best features to solve the task at hand.
  • You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer centric development.
  • You will be an AI orchestrator integrating deep learning solutions with customers' internal systems, actively driving decisions and delivering real-world impact.
  • You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
  • You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.

What you bring to the table

  • Bachelor's degree in computer science, computer engineering, electrical engineering, or another technical field.
  • Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
  • Strong software engineering skills.
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills.
  • Adept at communicating to both technical and commercial audiences.

Bonus points if...

  • Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
  • Previous work experience in field engineering, professional services, consulting, or another customer-facing field.
  • Experience with 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.
  • Resources to learn about the cutting edge of software engineering and CV.
  • You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

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.