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Machine Learning Engineer Python Jobs in Santa Clara, CA

Intel

Machine Learning Engineer

Santa Clara, CA

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.

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 · 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 · 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 ...

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 ...

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 ...

Aven

Machine Learning Engineer

Campbell, CA · On-site

We are looking for Machine Learning Engineers who have built product models from idea to delivery ... Python * VueJS (web) * Swift (iOS) * Kotlin/Java (Android)

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/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 ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$114K - $156K/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 ...

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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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 Jul 16, 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 is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

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 engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
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
Mid- level Machine Learning Engineer

Mid- level Machine Learning Engineer

InstantServe LLC

San Jose, CA • On-site

Full-time

Posted 22 days ago

Job description

Job Title: Senior Machine Learning Engineer
Client: TetraMem Inc
Location: San Jose, California
Senior Machine Learning Engineer
About the job
Responsibilities
  • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
  • Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
  • Work closely with hardware and software teams to integrate ML models into production systems.
  • Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
  • Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
  • Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
  • Provide technical leadership and mentorship to junior engineers.
  • Publish research findings, present at conferences, and contribute to open-source projects when applicable.
Requirements
  • 5+ years of relevant industry experience (or a PhD) in Computer Science, Electrical Engineering, Machine Learning, or related fields.
  • Must have prior experience managing a team, serving in a Team Lead role, or demonstrating strong technical leadership and cross-functional coordination capabilities.
  • Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and deploying lightweight models on resource-constrained devices.
  • Expertise in modern ML frameworks such as PyTorch, TensorFlow (including TensorFlow Lite), and JAX.
  • Proficiency in Python and C/C++, with practical experience in ML model optimization and production deployment.
  • Deep experience with model quantization (PTQ/QAT), pruning, knowledge distillation, sparsity, and other compression techniques for efficient edge inference.
  • Hands-on experience developing for or integrating with AI chip SDKs, neural accelerators (NPUs/DSPs), or hardware-specific toolchains (e.g., NVIDIA TensorRT, Qualcomm Neural Processing SDK, ARM Ethos, or similar).
  • Familiarity with edge inference runtimes (ONNX Runtime, ExecuTorch, TVM) and optimizing models for hardware constraints (latency, memory footprint, power consumption).
Experience in one or more of the following areas considered a strong plus:
  • Understanding of ML compiler and runtime design.
  • Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
  • Familiarity with hardware acceleration techniques.
  • Experience in embedded system development.
InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

Social media

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