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

Catalyst Labs

ML Engineer

Palo Alto, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Cupertino, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Santa Clara, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Mountain View, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

San Jose, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Sunnyvale, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Menlo Park, CA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow. Bonus ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience ... Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product ...

3M HEALTHCARE

Senior AI/ML Engineer

Sunnyvale, CA · On-site

$160 - $230/hr

We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang, and ... We partner closely across AI/ML engineers, Product Operations, Product Management, Data Science ...

New

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience ... Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product ...

Dexmate

Developer Advocate Engineer

Santa Clara, CA · On-site

Required : • You write Python fluently and have real ML engineering experience -- model training, fine-tuning, inference optimization, or ML infrastructure. You've shipped models that ran in ...

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

Python Ml Developer information

See Newark, CA salary details

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$65

$97

How much do python ml developer jobs pay per hour?

As of Aug 8, 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.

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

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.

What are popular job titles related to Python Ml Developer jobs in Newark, CA? For Python Ml Developer jobs in Newark, CA, the most frequently searched job titles are:
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 August 2026, with employment types broken down into 2% Internship, 82% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $137,139 per year, or $65.9 per hour.

ML Engineer

Catalyst Labs

Palo Alto, CA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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