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Machine Learning Engineer Python Jobs in San Jose, CA

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

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

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 ...

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 ...

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

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

... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

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 ...

... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...

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 ...

Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...

Proficient in programming languages such as Python, R, or similar * Strong foundation in probability, statistics, and mathematical modeling * Knowledge of common machine learning algorithms and ...

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 ...

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Machine Learning Engineer Python information

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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 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:
AI/Machine Learning Engineer - Python - Loops

AI/Machine Learning Engineer - Python - Loops

IFS

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

As a Software Engineer, AI/ML, you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable, scalable, and production-ready solutions. This role emphasizes strong software engineering fundamentals, with the added dimension of applying AI/ML concepts to real-world enterprise applications.

What You'll Do:

  • Backend & Systems Engineering
  • Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality.
  • Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities.
  • Ensure code quality, maintainability, and scalability through testing, CI/CD, and performance monitoring.
  • Applied AI/ML Engineering
  • Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases.
  • Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate).
  • Experiment with prompt engineering and fine-tuning to improve reliability and performance of deployed agents.
  • Collaboration & Delivery
  • Partner with product and core engineering teams to translate requirements into technical solutions.
  • Contribute to architecture decisions and internal technical documentation.
  • Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.
Qualifications
  • 2–5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus).
  • Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations.
  • Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG).
  • Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines
  • Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus.
  • Strong debugging, testing, and optimization skills.
  • Ability to write clean, maintainable, and well-documented code.

What Success Looks Like in 3–6 Months

  • Technical Depth: You’ll be proficient in the internal platform, building integrations and Python services with confidence.
  • AI/ML Impact: You’ll have delivered backend components that integrate AI/ML capabilities into enterprise workflows.
  • Engineering Excellence: You’ll contribute to reusable libraries, deployment pipelines, and system reliability practices.
  • Team Contribution: You’ll collaborate effectively with other engineers and product teams, influencing technical direction.

Additional Information

What We’re Offering

  • Salary Range:  $110,000 to $120,000 plus bonus potential
  • Flexible paid time off, including sick and holiday
  •  Medical, dental, & vision insurance
  •  401K with Company contribution
  •  Flexible spending accounts
  •  Life insurance and disability benefits
  •  Tuition assistance
  •  Community involvement and volunteering events

M/F/Disabled/Vet VEVRAA Federal Contractor.  We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer