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Machine Learning Engineer Python Jobs in Santa Clara, CA

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

... Machine Learning Engineer to translate cutting-edge research into scalable, production-ready ... Python with a strong track record of building substantial projects. • Solid foundation in ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Pay & Benefits At Apple, base ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer to join a small ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer to join a small ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions ... Python with a strong track record of building substantial projects. • Solid foundation in ...

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

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 ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Experience with Python and working with data-intensive workloads * Familiarity with ML frameworks ...

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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

Abaka AI

Mountain View, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Abaka AI is built on a mission to be the world’s most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical roadmap for model development.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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