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Machine Learning Engineer Python Jobs in Los Angeles, CA

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling ... in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). * Familiarity ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). * Exposure to ...

Absurd Ventures

Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers ... Proficient in Python and ML libraries such as PyTorch or TensorFlow. * Familiarity with training ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3 ... Machine Learning Engineering, MLOps, Software Engineering, or related technical roles. * Strong ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

... Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain ... You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design ...

Capgroup

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

... Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain ... You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3 ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Los Angeles, CA

Machine Learning Engineer Python information

See Los Angeles, CA salary details

$24.8K

$150.8K

$218.2K

How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Los Angeles, CA is $150,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $177,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Los Angeles, CA? For Machine Learning Engineer Python jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Los Angeles, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Machine Learning Engineer Python jobs? Cities near Los Angeles, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Los Angeles, CA as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $150,820 per year, or $72.5 per hour.

Machine Learning Engineer

Hadrian

Los Angeles, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Hadrian is building autonomous factories to revolutionize manufacturing for aerospace and defense industries. The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models and collaborating with engineering teams.
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.)
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 Hawthorne, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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