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Machine Learning Engineer Python Jobs in California

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... • Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch ...

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing ... Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Java, C++, Python Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. Excellent ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ... Strong Python and SQL skills, with experience working with large-scale datasets * Experience ...

Showing results 21-40

Machine Learning Engineer Python information

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?

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 cities in California are hiring for Machine Learning Engineer Python jobs? Cities in California with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer

Hadrian

Los Angeles, CA • On-site

Full-time

Re-posted yesterday


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 Hawthorne, USA, with a team of 201-500 employees. The company is currently Growth Stage.