ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs in California

Advatix, Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Job Title: Machine Learning Engineer / Research Engineer Pay: $110,000 - $165,000 Base Salary ... Build and maintain scalable Python-based training, evaluation, and experimentation pipelines.

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

$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 ...

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and ... • Proficient in Python; Familiarity with Java/Go • Experience with data analysis and ...

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 ...

eTeam

Machine Learning Engineer

Sunnyvale, CA · On-site

Job Summary : eTeam is seeking a Machine Learning Engineer to design and develop AI/ML and ... Required : • Machine Learning • Gen AI • Python • 7 Years of experience in each of the must ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Python for algorithm development and optimization Demonstrated ability to rapidly prototype ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

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 ...

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

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 ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in California

Machine Learning Engineer Python information

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 California? For Machine Learning Engineer Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in California look for? The top searched job categories for Machine Learning Engineer Python jobs in California are:
What cities in California are hiring for Machine Learning Engineer Python jobs? Cities in California with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Machine Learning Engineer

Machine Learning Engineer

Advatix, Inc.

San Mateo, CA • On-site

$110K - $165K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Machine Learning Engineer / Research Engineer
Pay: $110,000 - $165,000 Base Salary + Equity
Shift: N/A
Location: San Mateo, CA (Peninsula) - Onsite Preferred
Schedule: Full time, Permanent Role
Visa Sponsorship: Not Available
Relocation Assistance: Not Available
Job Overview
About the Role
  • We are looking for a highly skilled Machine Learning Engineer / Research Engineer to join our founding team and help develop intelligent systems that transform how hardware and mechanical engineers design products.
  • This is a unique opportunity to work at the intersection of cutting-edge machine learning research and real-world engineering applications. You'll collaborate directly with founders, engineers, and customers to design, train, deploy, and continuously improve machine learning systems that accelerate CAD workflows and hardware design.
  • As one of the earliest ML hires, you will have significant ownership over technical direction, architecture decisions, and the long-term evolution of our AI platform.
  • Key Responsibilities
  • Machine Learning Research & Development
  • Design, train, and optimize custom deep learning models that understand CAD workflows and generate intelligent next-step design recommendations.
  • Develop novel machine learning approaches for geometry, design, and engineering-related datasets.
  • Evaluate emerging research in areas such as sequence modeling, geometric deep learning, representation learning, and foundation models.
  • Data & Model Infrastructure
  • Build and maintain scalable Python-based training, evaluation, and experimentation pipelines.
  • Transform complex, real-world CAD and geometry data into high-quality training datasets and signals.
  • Implement robust offline and online evaluation frameworks to measure model performance and business impact.
  • Production ML Systems
  • Own the complete ML lifecycle from research and prototyping through deployment, monitoring, and optimization.
  • Architect model-serving infrastructure and backend components that enable fast, reliable integration into CAD environments.
  • Establish best practices for experimentation, logging, model versioning, and performance monitoring.
  • Cross-Functional Collaboration
  • Work closely with founders, mechanical engineers, hardware engineers, and early customers to understand workflows and translate them into ML solutions.
  • Collaborate with backend engineers on APIs, infrastructure, data models, and platform scalability.
  • Help define the long-term strategy for applying machine learning to hardware and CAD design.
  • Required Qualifications
  • Machine Learning Expertise
  • 4+ years of hands-on machine learning experience in industry, research, or a combination of both.
  • Equivalent Master's or PhD research experience will be considered.
  • Demonstrated success designing, training, improving, and deploying machine learning models-not simply utilizing hosted AI APIs.
  • Deep Learning & Research
  • Expert-level proficiency with PyTorch (preferred) or similar frameworks such as TensorFlow or JAX.
  • Experience implementing custom architectures, loss functions, optimization methods, and training loops.
  • Strong understanding of model evaluation, experimentation, and performance trade-offs.
  • Software Engineering
  • Strong Python programming skills with experience building production-ready systems.
  • Ability to write clean, maintainable, and well-tested code with appropriate documentation and abstractions.
  • Experience developing scalable ML infrastructure and backend services.
  • Ownership & Execution
  • Proven ability to independently drive projects from concept through deployment.
  • Experience building end-to-end ML systems including data pipelines, experimentation frameworks, model training, deployment, and monitoring.
  • Comfortable solving ambiguous, open-ended technical problems.
  • Communication & Collaboration
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
  • Experience working cross-functionally with engineers, product teams, researchers, and customers.
  • Startup Mindset
  • Thrives in fast-paced, high-ownership environments.
  • Comfortable wearing multiple hats across machine learning, research, backend engineering, and infrastructure.
  • Preferred Qualifications
  • Published research papers or meaningful open-source contributions demonstrating novel technical work.
  • Experience with:
  • CAD systems and workflows
  • Computational geometry
  • Computer graphics
  • 3D representations
  • Robotics
  • Familiarity with cloud ML infrastructure (AWS, GCP).
  • Experience with backend frameworks such as FastAPI, Flask, or Django.
  • Ideal Candidate
  • You are a fundamentally strong machine learning builder who cares equally about theory and production. You enjoy reading research papers, developing novel approaches, and translating ideas into production systems that create measurable impact for users.
  • You are excited about solving challenging problems in AI-powered engineering software and want to help build a category-defining product from the ground up.
  • Must-Have Requirements
  • Must be based in the United States and possess valid work authorization.
  • Strong proficiency in Python and modern deep learning frameworks (PyTorch preferred).
  • Demonstrated experience building and deploying custom machine learning models from scratch.
  • Experience designing architectures, creating training pipelines, and shipping ML features to production.
  • Minimum 4 years of relevant industry or equivalent academic experience.
  • Benefits & Perks
  • Competitive salary ($110,000 - $165,000)
  • Meaningful equity ownership
  • Comprehensive medical, dental, and vision insurance
  • Catered team lunches at the San Mateo office
  • Unlimited / flexible paid time off
  • High-impact role within a YC-backed startup
  • Direct collaboration with experienced founders and engineers
  • Significant opportunities for growth, learning, and career advancement
  • Opportunity to help define the future of AI-powered CAD and hardware design

HRforGrowth is an extension of the Growth Catalyst Group (GCG), a partnership of companies with more than 65 years of operating experience and a history of successfully serving customers across industries and disciplines.
GCG® is one of the world's leading providers of business transformation solutions related to supply chain and technology solutions for order fulfillment and marketing execution. We are committed to an inclusive workplace that does not discriminate against race,nationality, religion, age, marital status, physical or mental disability, sexual orientation, gender, orgender identity. We believe in diversity and encourage any qualified individual to apply. We are an EEOCEmployer.

Apply