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
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 ...
Machine Learning Engineer
San Francisco, CA · On-site
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
San Francisco, CA · On-site
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.
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 ...
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
San Mateo, CA · On-site
$100K - $300K/yr
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 ...
Machine Learning Engineer
San Mateo, CA · On-site
$100K - $300K/yr
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 ...
Machine Learning Engineer
San Francisco, CA · On-site
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
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
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
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
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 ...
Machine Learning Engineer
San Francisco, CA · On-site
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 ...
Machine Learning Engineer
Fremont, CA · On-site
Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...
Machine Learning Engineer
Fremont, CA · On-site
Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...
Machine Learning Engineer
San Francisco, CA · On-site
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
Machine Learning Engineer
San Francisco, CA · On-site
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
Machine Learning Engineer
Pleasanton, CA · On-site
Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...
Machine Learning Engineer
Pleasanton, CA · On-site
Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...
Machine Learning
San Francisco, CA · On-site
$200 - $250/hr
First Machine Learning Engineer (US Remote - $200k-$250k) Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company! About Us * We're ...
New
Machine Learning
San Francisco, CA · On-site
$200 - $250/hr
First Machine Learning Engineer (US Remote - $200k-$250k) Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company! About Us * We're ...
New
Machine Learning Engineer
Dublin, CA · On-site
$90 - $130/hr
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
Machine Learning Engineer
Dublin, CA · On-site
$90 - $130/hr
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
Machine Learning Engineer
San Francisco, CA · On-site
About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment - We're remote-first, with meaningful office presence in San ...
Machine Learning Engineer
San Francisco, CA · On-site
About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Flexible Hybrid Work Environment - We're remote-first, with meaningful office presence in San ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...
Machine Learning Engineer
San Francisco, CA · On-site
$150 - $190/hr
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
New
Machine Learning Engineer
San Francisco, CA · On-site
$150 - $190/hr
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...
New
Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...
Machine Learning Engineer Hybrid information
See Berkeley, CA salary details
$38.6K - $56.6K
1% of jobs
$56.6K - $74.6K
1% of jobs
$74.6K - $92.7K
5% of jobs
$92.7K - $110.7K
6% of jobs
$125.6K is the 25th percentile. Wages below this are outliers.
$110.7K - $128.7K
14% of jobs
$128.7K - $146.8K
14% of jobs
The median wage is $155.8K / yr.
$146.8K - $164.8K
18% of jobs
$164.8K - $182.8K
14% of jobs
$186.5K is the 75th percentile. Wages above this are outliers.
$182.8K - $200.9K
12% of jobs
$200.9K - $218.9K
11% of jobs
$218.9K - $236.9K
5% of jobs
$38.6K
$157.7K
$236.9K
How much do machine learning engineer hybrid jobs pay per year?
What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?
| Aspect | Machine Learning Engineer Hybrid | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, AI, or related; experience with ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops, tests, deploys ML models; collaborates with engineering teams | Analyzes data, builds models, interprets results; works across departments |
| Industry Usage | Tech, finance, healthcare, e-commerce | Research, finance, marketing, tech |
Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.
What are popular job titles related to Machine Learning Engineer Hybrid jobs in Berkeley, CA?
For Machine Learning Engineer Hybrid jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Hybrid jobs in Berkeley, CA look for?
The top searched job categories for Machine Learning Engineer Hybrid jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Machine Learning Engineer Hybrid jobs?
Cities near Berkeley, CA with the most Machine Learning Engineer Hybrid job openings:

Full-time
Re-posted 3 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.
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 ResponsibilitiesSupport 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.