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Machine Learning Engineer Python Jobs in Santa Clara, CA

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's Degree

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in ... as Python and Java. Familiarity with cloud development on Azure/AWS. • Experience using ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... engineers and machine learning researchers building a new human identity platform • Take ... Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$202K - $274K/yr

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$202K - $274K/yr

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$202K - $274K/yr

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... Develop Python and SQL workflows to process, transform, and analyze large datasets * Automate ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Strong Python software engineering skills, including system design, clean architecture, testing, CI ...

Adobe

Machine Learning Engineer

San Jose, CA

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Strong Python software engineering skills, including system design, clean architecture, testing, CI ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Our team comprises a diverse range of backgrounds, including applied machine learning engineers ... C/C++, Go, Python, Java Preferred Qualifications Masters or PhD in the area of Computer Science or ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... Develop Python and SQL workflows to process, transform, and analyze large datasets * Automate ...

Amat

Machine Learning Engineer

Santa Clara, CA · On-site +1

$184K - $253K/yr

We're looking for a seasoned machine learning engineer with a deep ML foundation who has actively ... Proficiency in Python and frameworks such as PyTorch or TensorFlow. * Excellent communication ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language * Strong understanding of machine learning fundamentals, including model ...

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Showing results 41-60

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Santa Clara, CA

Machine Learning Engineer Python information

See Santa Clara, CA salary details

$27K

$164.4K

$237.8K

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

As of Aug 6, 2026, the average yearly pay for machine learning engineer python in Santa Clara, CA is $164,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $193,200.00 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?

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 Santa Clara, CA? For Machine Learning Engineer Python jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Santa Clara, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Machine Learning Engineer Python jobs? Cities near Santa Clara, 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 Santa Clara, CA as of June 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $164,387 per year, or $79 per hour.

Machine Learning Engineer, Reinforcement Learning

Skild AI

San Mateo, CA

Other

Re-posted 28 days ago

Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.

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