ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs in San Jose, CA

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

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 ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Hand off validated Python prototypes for production hardening, provide clear specifications and ...

New

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm ...

Geico

Machine Learning Engineer II

Palo Alto, CA · On-site

Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the ... Deepproficiencyin programming languages such as Python, Java, or similar, with a strong emphasis on ...

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... top engineers across Apple. BS in electrical, optical or computer engineering/science, and a ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... 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 ...

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 ...

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong coding ability; strong grasp of Python, SQL * Strong data analytics & modeling & ML skills

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

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 ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

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 ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... 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 ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in San Jose, CA

Machine Learning Engineer Python information

See San Jose, CA salary details

$27K

$164K

$237.3K

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

As of Jun 6, 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 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 are popular job titles related to Machine Learning Engineer Python jobs in San Jose, CA? For Machine Learning Engineer Python jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in San Jose, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in San Jose, CA are:
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:
Machine Learning Engineer Python jobs near you
Machine Learning Engineer

Machine Learning Engineer

Velo3D

Fremont, CA

$150K - $220K/yr

Full-time

Medical, Retirement

Posted 3 days ago

Job description

Position Overview: 

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process engineers, software engineers, and fellow ML engineers, you will develop and deploy models using image, time-series, and machine log data from advanced manufacturing systems.

Prior experience in additive manufacturing or 3D printing is not required. We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical systems, or experimental datasets, and who enjoy working closely with domain experts to deliver practical, high-impact solutions.

Responsibilities

  • Develop ML models using in-process sensor data to identify anomalies and quality issues during printing. 

  • Build and iterate on training and evaluation workflows; document experiments and results for reproducibility. 

  • Own ML experimentation end to end: Design datasets, preprocessing pipelines, and training workflows; iterate on model architectures and metrics; document experiments and results for reproducibility. 

  • Help define data collection and management: Partner with process and software teams to improve how build data is ingested, cataloged, versioned, and made available for training and evaluation. 

  • Deploy models into production: Work with print software and embedded teams to integrate validated models into production code running on printer hardware, including performance and reliability considerations. 

  • Collaborate with supporting software engineers: Hand off validated Python prototypes for production hardening, provide clear specifications and acceptance criteria, and support integration and regression testing. 

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field; advanced degree preferred. 

  • 3+ years of experience building and evaluating machine learning models in a professional setting. 

  •  Hands-on experience with computer vision or image-based ML (e.g., segmentation, classification, or anomaly detection). 

  • Strong Python skills and experience with modern ML frameworks (e.g., PyTorch). 

  • Experience designing ML pipelines: data loading, preprocessing, training, evaluation, and experiment tracking. 

  • Comfort working in a production software environment: version control, code review, testing, and cross-functional collaboration. 

  • Ability to communicate technical tradeoffs clearly to engineers and non-engineers. 

  • Strong programming skills in Python or C++. 

  • Experience organizing and working with structured and unstructured datasets. 

  • Background in a STEM or scientific discipline, with demonstrated use of ML to address substantive technical or engineering problems. 

Bonus  

  • Experience with powder bed fusion or other additive manufacturing processes. 

  • Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems. 

  • Experience with image-based or time-series machine learning. 

  • Familiarity with model deployment in production or embedded environments. 

  • Familiarity with cloud storage and data pipelines (e.g., AWS S3, batch retrieval workflows). 

  • Experience in domains such as robotics, aerospace, materials, instrumentation, scientific computing, or other fields where ML is applied to physical or experimental data. 

About the Company:
 
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.
 
With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire metal AM production printer, Flow print preparation software, Assure quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
 
Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.
 
Our job titles may span more than one career level. The starting base salary for this full-time position is between $150,000 and $220,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.
 
Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply