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Python Ml Developer Jobs in Newark, CA (NOW HIRING)

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation ... Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ...

Lucid Motors

Senior AI/ML Engineer

Newark, CA · On-site

$117K - $161K/yr

Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C ... Track record of mentoring other engineers or contributing to open-source ML/AI projects.

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ... MLFlow) Senior ML Engineer Base Salary- $190,000-$210,000 Staff ML Engineer Base Salary- $245,000 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation ... Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ...

Arcade

Senior Machine Learning Engineer

San Francisco, CA · On-site

$180K - $300K/yr

What We're Looking For Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar). * Minimum 5 years experience with hands-on experience fine-tuning or training open ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks ... Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks ... Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience ...

SambaNova

ML Features Solutions Engineer

San Jose, CA · On-site

$96K - $128K/yr

This role combines deep ML expertise with hands-on engineering to deliver production-grade ... Python and deep learning frameworks: PyTorch (required), TensorFlow, or JAX • Experience with ...

Apple

AI/ML Engineer, Applied Data Science

Cupertino, CA · On-site

$141K - $169K/yr

Minimum Qualifications 4+ years of delivering solutions in AI/ML engineering, NLP, or related roles Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar) Experience with ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Newark, CA

Python Ml Developer information

See Newark, CA salary details

$14

$65

$97

How much do python ml developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python ml developer in Newark, CA is $65.93, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $74.90 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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What cities near Newark, CA are hiring for Python Ml Developer jobs? Cities near Newark, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Newark, CA as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $137,139 per year, or $65.9 per hour.
ML Infrastructure Engineer

ML Infrastructure Engineer

Gridware

San Francisco, CA • On-site

$190K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 8 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description
As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving's Gridware brings to customers.
Responsibilities
  • Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production.
  • Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.
  • Create and maintain end-to-end testing frameworks and simulation environments to validate models and pipelines prior to deployment.
  • Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards.
  • Improve CI/CD pipelines for ML workloads, ensuring reproducibility, safe rollout, and automated rollback strategies.
Required Skills
  • 5+ years of experience building production ML infrastructure
  • Strong software engineering skills and proficiency in Python
  • Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
  • Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)
$190,000 - $250,000 a year
Senior ML Engineer Base Salary- $190,000-$210,000
 
Staff ML Engineer Base Salary- $245,000-$250,000.
**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We're only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
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