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Machine Learning Engineer Python Jobs in San Jose, CA

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 ...

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 ...

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 ...

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 ...

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 ...

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Machine Learning Engineer Python information

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$27K

$164K

$237.3K

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

As of Jul 15, 2026, the average yearly pay for machine learning engineer python in San Jose, CA is $164,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,500.00 and $192,800.00 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 cities near San Jose, CA are hiring for Machine Learning Engineer Python jobs? Cities near San Jose, CA with the most Machine Learning Engineer Python job openings:

$230K - $280K/yr

Other

Medical, Dental, Vision, PTO

Posted 6 days ago


Job description


Title: 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, high-impact team building the next generation of AI-powered products. This is an opportunity to get in early at a pre-seed company where engineers take ownership over the product, work directly with leadership, and play a key role in shaping both the technical direction and long-term growth of the platform. They're looking for someone who enjoys wearing multiple hats, moving quickly, and building in a true startup environment.


This role is open to candidates from AI Engineering, Machine Learning Engineering, or strong Python Software Engineering backgrounds. You'll build scalable backend systems, develop AI-powered product capabilities, and help design the System Design foundation for future growth. The ideal candidate has strong system design fundamentals, is comfortable working across modern AI technologies such as LLMs or Reinforcement Learning, and is excited by the ownership and ambiguity that comes with joining a small, fast-moving startup.


Experience:


* 3+ years of experience in Software Engineering, AI Engineering, or Machine Learning Engineering
* Strong Python experience building production-grade systems and applications
* Experience with LLMs, Reinforcement Learning, or similar AI technologies
* Strong understanding of system design and scalable backend architectures
* Experience building products in fast-moving startup environments with high ownership
* Ability to work independently and ship customer-facing features end-to-end


Benefits:


* Early Stage Equity
* Paid Time Off
* Medical, dental, and vision coverage
* Opportunity to create lasting impact within a growing organization
* Free Lunches & Commuting


Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.