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Deep Learning Developer Jobs in Los Angeles, CA (NOW HIRING)

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... Responsibilities : • Research, develop and deploy cutting-edge deep learning models, including ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Responsibilities : • Research, develop and deploy cutting-edge deep learning models, including ...

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 ... Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and ...

Develop deep learning models for prototyping and production purposes according to product feature ... MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ...

Develop deep learning models for prototyping and production purposes according to product feature ... MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Experience supporting deep learning workflows in production environments. * Exposure to ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Experience supporting deep learning workflows in production environments. * Exposure to ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ...

AI/ML Engineer Job Location: Los Angeles - California - USA Job Type: Contract * 3-5 years of ... Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch * Handson ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

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Deep Learning Developer information

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How much do deep learning developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for deep learning developer in Los Angeles, CA is $41.42, according to ZipRecruiter salary data. Most workers in this role earn between $35.24 and $46.11 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 Los Angeles, CA are hiring for Deep Learning Developer jobs? Cities near Los Angeles, CA with the most Deep Learning Developer job openings:

Machine Learning Engineer

Hadrian

Los Angeles, CA • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Hadrian is a company focused on building autonomous factories for the aerospace and defense industries. As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision technologies.
Responsibilities:
• Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
• Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
• Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
• Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
Qualifications:
Required:
• Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
• 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
• Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
• Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
• Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
• Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
• Prior experience with distributed training using cloud infrastructure
• Prior experience with visual document understanding and layout analysis
• Published research or achieved SOA results on an ML application
• Prior experience with multi-modal deep learning models
• You have a passion for manufacturing and believe that the industry needs better software
• Prior experience working in a startup environment
Company:
Hadrian builds AI-powered automated factories that manufacture precision parts for defense, aerospace, and space industries. Founded in 2020, the company is headquartered in Torrance, USA, with a team of 201-500 employees. The company is currently Growth Stage.