The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
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 Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece Role Overview: Proofpoint is building the next generation of AI-powered security systems to protect ...
Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece Role Overview: Proofpoint is building the next generation of AI-powered security systems to protect ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece Role Overview: Proofpoint is building the next generation of AI-powered security systems to protect ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece Role Overview: Proofpoint is building the next generation of AI-powered security systems to protect ...
Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...
Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...
Machine Learning Engineer
$150K - $277K/yr
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
$150K - $277K/yr
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
Fremont, CA · On-site
Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...
Machine Learning Engineer
Fremont, CA · On-site
Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $277K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $277K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$184K - $324K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$184K - $324K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$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 ...
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...
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 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 ...
Machine Learning Engineer
$175K - $275K/yr
About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...
Machine Learning Engineer
$175K - $275K/yr
About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...
Machine Learning Engineer
Dublin, CA · On-site
$100 - $125/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
$100 - $125/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
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
$120K - $180K/yr
Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...
Machine Learning Engineer
Palo Alto, CA · On-site
They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.
Machine Learning Engineer
Palo Alto, CA · On-site
They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.
Machine Learning Engineer
Dublin, CA · On-site
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
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
San Francisco, CA · On-site
$150 - $200/hr
Machine Learning Engineer What you'll do * Design and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and ...
Machine Learning Engineer
San Francisco, CA · On-site
$150 - $200/hr
Machine Learning Engineer What you'll do * Design and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a ...
Temporary Machine Learning Engineer information
See San Jose, CA salary details
$36.9K - $54.2K
1% of jobs
$54.2K - $71.4K
1% of jobs
$71.4K - $88.7K
5% of jobs
$88.7K - $106K
6% of jobs
$120.2K is the 25th percentile. Wages below this are outliers.
$106K - $123.2K
14% of jobs
$123.2K - $140.5K
14% of jobs
The median wage is $149.1K / yr.
$140.5K - $157.7K
18% of jobs
$157.7K - $175K
14% of jobs
$178.5K is the 75th percentile. Wages above this are outliers.
$175K - $192.3K
12% of jobs
$192.3K - $209.5K
11% of jobs
$209.5K - $226.8K
5% of jobs
$36.9K
$150.9K
$226.8K
How much do temporary machine learning engineer jobs pay per year?
As of Sep 7, 2026, the average yearly pay for temporary machine learning engineer in San Jose, CA is $150,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $181,700.00 per year, depending on experience, location, and employer.
What is the difference between Temporary Machine Learning Engineer vs Data Scientist?
| Aspect | Temporary Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Project-based, often contract roles in tech or finance companies | Research and analysis-focused, in tech, finance, or healthcare sectors |
| Employer Usage | Used for short-term ML projects, model deployment, or prototyping | Used for data analysis, insights, and predictive modeling |
Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.
What are the most commonly searched types of Machine Learning Engineer jobs in San Jose, CA?
The most popular types of Machine Learning Engineer jobs in San Jose, CA are:
What are popular job titles related to Temporary Machine Learning Engineer jobs in San Jose, CA?
For Temporary Machine Learning Engineer jobs in San Jose, CA, the most frequently searched job titles are:
- Manager Edge Ai Machine Learning
- Google Cloud Machine Learning Engineer
- Machine Learning Engineer Intern
- Staff Software Engineer Machine Learning
- Junior Machine Learning Engineer
- Machine Learning Engineer From Home
- Internship Edge Ai Machine Learning
- Contract Machine Learning Engineer
- Senior Machine Learning Engineer
- Senior Machine Learning Software Engineer
What job categories do people searching Temporary Machine Learning Engineer jobs in San Jose, CA look for?
The top searched job categories for Temporary Machine Learning Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Temporary Machine Learning Engineer jobs?
Cities near San Jose, CA with the most Temporary Machine Learning Engineer job openings:
Full-time
Re-posted 28 days ago
Job description
Job Summary:
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around model training strategy and infrastructure.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around model training strategy and infrastructure.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.