As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with ...
Machine Learning Engineer
Poway, CA · On-site
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous ...
Machine Learning Engineer
Poway, CA · On-site
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Machine Learning Engineer
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Machine Learning Engineer
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
The company is driven by research and engineering that bridge cutting-edge machine learning with practical, scalable applications. Team members collaborate across disciplines to design systems that ...
New
The company is driven by research and engineering that bridge cutting-edge machine learning with practical, scalable applications. Team members collaborate across disciplines to design systems that ...
New
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.
Machine Learning Engineer
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Machine Learning Engineer
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Machine Learning Engineer
Santa Monica, CA · On-site
$100K - $120K/yr
Machine Learning Engineer Application Deadline: 30 September 2026 Department: Recruiting Done Employment Type: Full Time Location: Santa Monica Compensation: $100,000 - $120,000 / year Description ...
Machine Learning Engineer
Santa Monica, CA · On-site
$100K - $120K/yr
Machine Learning Engineer Application Deadline: 30 September 2026 Department: Recruiting Done Employment Type: Full Time Location: Santa Monica Compensation: $100,000 - $120,000 / year Description ...
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Quick apply
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Freelance Machine Learning Engineer information
See California salary details
$23.22 is the 25th percentile. Wages below this are outliers.
$14.71 - $25.23
31% of jobs
The median wage is $31.72 / hr.
$25.23 - $35.76
31% of jobs
$35.76 - $46.28
4% of jobs
$55.49 is the 75th percentile. Wages above this are outliers.
$46.28 - $56.81
10% of jobs
$56.81 - $67.33
9% of jobs
$67.33 - $77.86
5% of jobs
$77.86 - $88.38
0% of jobs
$88.38 - $98.91
8% of jobs
$98.91 - $109.43
0% of jobs
$109.43 - $119.96
0% of jobs
$119.96 - $130.48
1% of jobs
$14
$47
$130
How much do freelance machine learning engineer jobs pay per hour?
As of Sep 2, 2026, the average hourly pay for freelance machine learning engineer in California is $47.08, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.96 per hour, depending on experience, location, and employer.
What does a freelance machine learning engineer do?
A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.
What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?
To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.
How do freelance machine learning engineers typically manage client expectations and project scopes?
Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.
What is the difference between Freelance Machine Learning Engineer vs Data Scientist?
| Aspect | Freelance Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Typically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plus | Usually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common |
| Work Environment | Independent, project-based work often remotely for various clients | Often employed full-time in organizations or consulting roles, sometimes freelance |
| Industry Usage | Used across tech, finance, healthcare, and startups for deploying ML models | Applied in research, analytics, and strategic decision-making across industries |
Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.
What are the most commonly searched types of Machine Learning Engineer jobs in California?
The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in California?
For Freelance Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in California look for?
The top searched job categories for Freelance Machine Learning Engineer jobs in California are:
What cities in California are hiring for Freelance Machine Learning Engineer jobs?
Cities in California with the most Freelance Machine Learning Engineer job openings:
Full-time
Re-posted 16 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 seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
Key Responsibilities
Role Overview
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
Key Responsibilities
- Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
- Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
- Analyze the impact of integrating new data sources and features into our models.
- Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
- Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
- Document experiments, assumptions, and outcomes; maintain reproducibility
- Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
- At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
- Experience with machine learning techniques such as regression, classification, and clustering.
- Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong grasp of probability, statistics, and data analysis principles.
- Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
- Familiarity with system programming languages including C++ and Rust is a plus.
- Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
- Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.