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Machine Learning Jobs in Pittsburg, CA (NOW HIRING)

This platform uses machine learning and big data to build credit scores to optimize risk exposures and allows users to apply, receive and repay microloans and through their smartphone. Once a user ...

About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...

About the Role You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems ...

About the Role You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems ...

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in ...

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

Conduit builds autonomous factories through a single data abstraction layer across every machine ... learning. * Strong Python. Strong PyTorch. You are conversational with modern CV, detection ...

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role ...

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role ...

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to ...

About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role ...

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role ...

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role ...

Showing results 41-60

Machine Learning information

See Pittsburg, CA salary details

$28.3K

$47.3K

$97.8K

How much do machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning in Pittsburg, CA is $47,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $51,100.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Pittsburg, CA?

The most popular types of Machine Learning jobs in Pittsburg, CA are:

What are popular job titles related to Machine Learning jobs in Pittsburg, CA?

For Machine Learning jobs in Pittsburg, CA, the most frequently searched job titles are:

What cities near Pittsburg, CA are hiring for Machine Learning jobs?

Cities near Pittsburg, CA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Pittsburg, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,333 per year, or $22.8 per hour.

Head of Machine Learning

RZR Global Inc.

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago


Job description

Who are we?RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
Role Overview
We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform. This role combines technical leadership, hands-on development, and organizational building. You will be responsible for the infrastructure for training and serving the deep learning models powering our Demand Side Platform.
Our machine learning systems power real-time advertising use cases including bidding, ranking, pacing, and fraud detection. These models operate in extremely latency-sensitive environments, serving millions of predictions per second. You will work closely with engineering and product leadership to translate business challenges into scalable ML solutions.
This role is ideal for someone who enjoys building systems and teams from scratch, moving quickly, and owning outcomes end-to-end.
Key Responsibilities
  • Design and build the next generation production ML system, including training pipelines, feature pipelines, and real-time inference services.
  • Work directly in the codebase to prototype models, evaluate approaches, and ship production systems.
  • Build and lead the machine learning team, including hiring, mentoring, and establishing engineering culture.
  • Partner with engineering to design infrastructure capable of serving millions of low-latency predictions.
  • Identify high-impact ML opportunities across bidding, ranking, pacing, fraud detection, and optimization.
  • Establish best practices around experimentation, model evaluation, monitoring, and continuous improvement.
  • Translate business and product goals into measurable machine learning improvements.
Required Skills / Experience
  • 7+ years of experience with a focus on building production machine learning systems.
  • Experience taking ML models from research or prototype to production at scale.
  • Strong programming background in Python and at least one systems language (C++, Java, Rust, or Go).
  • Experience working with large-scale data pipelines and training infrastructure.
  • Comfortable operating in early-stage environments where you may be both the architect and the implementer.
  • Strong product intuition and ability to prioritize ML work based on business impact.
  • Experience scaling ML teams.
  • Excellent communication skills and ability to work across engineering, product, and leadership.
  • Fluent Mandarin required.
Nice-to-Have
  • Experience in advertising technology and real-time systems.
  • Experience operating ML infrastructure in on-prem environments using open-source tools including Spark, ClickHouse, AeroSpike, and Prefect.