Strong background in algorithms, data structures, and software engineering principles. * Experience ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Strong background in algorithms, data structures, and software engineering principles. * Experience ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Senior Machine Learning Engineer II
San Francisco, CA · On-site +1
$290K - $359K/yr
... Software Engineer, Data Scientist or a related occupation. Background, education, or experience ... Machine Learning Model Optimization; 6. Developing Auto-Labeling Techniques; 7. Large-Scale Data ...
Senior Machine Learning Engineer II
San Francisco, CA · On-site +1
$290K - $359K/yr
... Software Engineer, Data Scientist or a related occupation. Background, education, or experience ... Machine Learning Model Optimization; 6. Developing Auto-Labeling Techniques; 7. Large-Scale Data ...
Senior Machine Learning Engineer II
$290K - $359K/yr
... Software Engineer, Data Scientist or a related occupation. Background, education, or experience ... Machine Learning Model Optimization; 6. Developing Auto-Labeling Techniques; 7. Large-Scale Data ...
Senior Machine Learning Engineer II
$290K - $359K/yr
... Software Engineer, Data Scientist or a related occupation. Background, education, or experience ... Machine Learning Model Optimization; 6. Developing Auto-Labeling Techniques; 7. Large-Scale Data ...
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 ...
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 Intern
South San Francisco, CA · On-site
$35/hr
In this role, you'll work with neuroscientists, physicians, software engineers, and electrical ... We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
In this role, you'll work with neuroscientists, physicians, software engineers, and electrical ... We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...
... in machine learning work streams including but not limited to semantic segmentation, object detection and classification. • Work closely with Client and data engineers in end-to-end machine ...
... in machine learning work streams including but not limited to semantic segmentation, object detection and classification. • Work closely with Client and data engineers in end-to-end machine ...
Senior Machine Learning Engineer
San Mateo, CA · Hybrid
$119K - $163K/yr
Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.
Senior Machine Learning Engineer
San Mateo, CA · Hybrid
$119K - $163K/yr
Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Maintain and promote best practices for software development, including deployment process ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Maintain and promote best practices for software development, including deployment process ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$123K - $169K/yr
The ideal candidate will have a strong background in software development, machine learning, and data engineering, with experience in deploying scalable ML models in production environments. Key ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$123K - $169K/yr
The ideal candidate will have a strong background in software development, machine learning, and data engineering, with experience in deploying scalable ML models in production environments. Key ...
Be Seen First
Machine Learning Engineer
San Francisco, CA · On-site
$30 - $35/hr
Data Engineer (Machine Learning) Job Type: Full-Time Location: Candidate must be open to relocate. We are seeking a motivated Machine Learning Engineer who is passionate about transforming data into ...
Quick apply
Be Seen First
Machine Learning Engineer
San Francisco, CA · On-site
$30 - $35/hr
Data Engineer (Machine Learning) Job Type: Full-Time Location: Candidate must be open to relocate. We are seeking a motivated Machine Learning Engineer who is passionate about transforming data into ...
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Maintain and promote best practices for software development, including deployment process ...
Quick apply
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Maintain and promote best practices for software development, including deployment process ...
Machine Learning Engineer
$120K - $180K/yr
Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
$120K - $180K/yr
Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...
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 ...
The Machine Learning Engineer will develop solutions for machine learning and computer vision software, working with large datasets to improve agricultural efficiency and sustainability.
The Machine Learning Engineer will develop solutions for machine learning and computer vision software, working with large datasets to improve agricultural efficiency and sustainability.
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...
Sr. Lead Machine Learning Engineer
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...
Software Engineer, Machine Learning RecSys
Burlingame, CA · On-site +1
$183K/yr
Software Engineer, Machine Learning RecSys Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Software Engineer, Machine Learning RecSys
Burlingame, CA · On-site +1
$183K/yr
Software Engineer, Machine Learning RecSys Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Senior Machine Learning Engineer
Brisbane, CA · On-site
$147K - $194K/yr
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Collaborate closely with ML scientists and software engineers to understand current challenges and ...
Senior Machine Learning Engineer
Brisbane, CA · On-site
$147K - $194K/yr
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Collaborate closely with ML scientists and software engineers to understand current challenges and ...
Machine Learning Engineer Software Engineer information
See Richmond, CA salary details
$72.9K - $87.7K
2% of jobs
$87.7K - $102.5K
4% of jobs
$102.5K - $117.3K
6% of jobs
$117.3K - $132.1K
8% of jobs
$140.1K is the 25th percentile. Wages below this are outliers.
$132.1K - $147K
7% of jobs
$147K - $161.8K
18% of jobs
The median wage is $165.2K / yr.
$161.8K - $176.6K
16% of jobs
$176.6K - $191.4K
2% of jobs
$197.5K is the 75th percentile. Wages above this are outliers.
$191.4K - $206.2K
26% of jobs
$206.2K - $221K
1% of jobs
$221K - $235.8K
8% of jobs
$72.9K
$169.3K
$235.8K
How much do machine learning engineer software engineer jobs pay per year?
As of Jul 31, 2026, the average yearly pay for machine learning engineer software engineer in Richmond, CA is $169,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,700.00 and $198,500.00 per year, depending on experience, location, and employer.
What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, specialized ML courses | Bachelor's in CS or related field |
| Work Environment | Develops ML models, algorithms, data pipelines | Builds software applications, systems, APIs |
| Industry Usage | AI/ML projects, data-driven solutions | Web, mobile, enterprise software |
Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.
How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?
Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Richmond, CA look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Richmond, CA are:
What cities near Richmond, CA are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Richmond, CA with the most Machine Learning Engineer Software Engineer job openings:
Other
Re-posted 22 days ago
Job description
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 optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Design and conduct experiments to train RL models and conduct real-world tests.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Extensive industry experience with reinforcement learning and robotic systems.