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Machine Learning Engineer Python Jobs in Santa Clara, CA

Minimum Qualifications BS in electrical, optical or computer engineering/science, and a minimum of ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...

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 ...

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn

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 ...

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

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...

Preferred Qualifications MS/PhD in computer vision, electrical, optical or computer engineering or ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...

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 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 ...

Adobe is looking for a Machine Learning Engineer to enhance the experience of its Customer ... Python, Scala, Java, or SQL. • Proficiency in ML frameworks such as scikit-learn, SparkML ...

Minimum Qualifications Software engineering skills and proficiency in Python Experience with ... machine learning, computer science, computer engineering or related fields.

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Proficient in Python * Proficient in LLM architectures, optimization and model training dynamics.

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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 Jun 25, 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, 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 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:
Infographic showing various Machine Learning Engineer Python job openings in Santa Clara, CA as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $164,387 per year, or $79 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted yesterday


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you love taking on big challenges that require exceptionally creative solutions?
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
Description
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.
Minimum Qualifications
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
Experience with software coding in Python.
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
Experience with Pytorch.
Preferred Qualifications
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
Experience or strong personal curiosity with designing imaging and sensing systems.
Strong independent problem-solving and communication skills.
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
Experience with cutting edge computer vision and machine learning research trends and models.
Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976