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Python Ml Developer Jobs in San Ramon, CA (NOW HIRING)

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $260K/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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$245K - $260K/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 ...

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

... ML team building production-grade AI voice agents used by enterprise customers like AAA and ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $260K/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 ...

Zoox

Software Engineer, ML Core

Foster City, CA · On-site

... ML developer experience, and expedite debugging efforts. * Collaborate closely with cross ... Proficient in Python or C++ * Familiarity with any of the training frameworks and libraries like ...

Lucid Motors

Senior AI/ML Engineer

Newark, CA

$117.50K - $161.40K/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.

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 ...

Comrise

AI/ML Engineer

Foster City, CA · On-site

$102 - $108/hr

Strong Python programming experience for AI/ML applications * Experience working with PyTorch or similar ML frameworks * Understanding of transformer architectures and modern LLM capabilities * Hands ...

Air Apps

AI/ML Engineer

San Francisco, CA · On-site

... Python, TensorFlow, PyTorch, or other ML frameworks. • Experience with deep learning, NLP ... engineering best practices. • Experience in deploying and maintaining ML models in production ...

Invoca

Senior ML Engineer

San Francisco, CA · On-site +1

$123.10K - $169.10K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

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How much do python ml developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python ml developer in San Ramon, CA is $65.51, according to ZipRecruiter salary data. Most workers in this role earn between $53.99 and $74.42 per hour, depending on experience, location, and employer.

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 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 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 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 San Ramon, CA? For Python Ml Developer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in San Ramon, CA look for? The top searched job categories for Python Ml Developer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Python Ml Developer jobs? Cities near San Ramon, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
ML/Research Engineer, Safeguards

ML/Research Engineer, Safeguards

Anthropic

San Francisco, CA

Other

Posted 24 days ago

Job description

About the role

We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use-from individual policy violations to sophisticated, coordinated attacks-and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.

Responsibilities
  • Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
  • Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
  • Evaluate and improve the safety of agentic products-developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
  • Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse
You may be a good fit if you
  • Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
  • Have proficiency in Python and experience building ML systems
  • Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
  • Are worried about misuse risks of AI systems, and want to work to mitigate them
  • Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also have experience with
  • Language modeling and transformers
  • Building classifiers, anomaly detection systems, or behavioral ML
  • Adversarial machine learning or red-teaming
  • Interpretability or probes
  • Reinforcement learning
  • High-performance, large-scale ML systems

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