ZipRecruiter

Log In

1

Deep Learning Developer Jobs (NOW HIRING)

Toyon

Deep Learning Algorithm Developer

Goleta, CA

$120K - $200K/yr

Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch ...

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 ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

previous pagenext page

Showing results 21-40

All JobsDeep Learning Developer Jobs

Deep Learning Developer information

See salary details

$18

$38

$50

How much do deep learning developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for deep learning developer in the United States is $38.44, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $42.79 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 are hiring for Deep Learning Developer jobs? Cities with the most Deep Learning Developer job openings:
What states have the most Deep Learning Developer jobs? States with the most job openings for Deep Learning Developer jobs include:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,957 per year, or $38.4 per hour.

Deep Learning Algorithm Developer

Toyon

Goleta, CA

$120K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required.


This position is in-person.


Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, and other application areas including platform control.

Requirements


Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience is required. 


WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!

  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance  
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Deep Learning Algorithm Developer position is $120,000 to $200,000.


The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment. 


Equal Opportunity Employer including Disability and Veterans  


Applicant Privacy Notice 


Learn more about our company in our latest video, We are Toyon. 


Ref #2604-C

Apply