Machine Learning Engineer
Menlo Park, CA · On-site
The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...
Machine Learning Engineer
Menlo Park, CA · On-site
The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
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
Cupertino, CA · On-site
$143 - $264/hr
Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...
Machine Learning Engineer
Cupertino, CA · On-site
$143 - $264/hr
Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...
Machine Learning Engineer
Pleasanton, CA · On-site
$110 - $150/hr
... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...
Machine Learning Engineer
Pleasanton, CA · On-site
$110 - $150/hr
... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...
Machine Learning Engineer (Search)
Cupertino, CA · On-site
$150 - $225/hr
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
Machine Learning Engineer (Search)
Cupertino, CA · On-site
$150 - $225/hr
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
Machine Learning Engineer
San Jose, CA · On-site
Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low-latency query understanding and intelligent routing system. The role involves working on data modeling ...
Machine Learning Engineer
San Jose, CA · On-site
Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low-latency query understanding and intelligent routing system. The role involves working on data modeling ...
Machine Learning Engineer, Drive
Sunnyvale, CA · On-site
$168 - $247/hr
About The Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...
Machine Learning Engineer, Drive
Sunnyvale, CA · On-site
$168 - $247/hr
About The Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...
Machine Learning Engineer
Cupertino, CA · On-site
MindSource is seeking a Machine Learning Engineer to join their Strategic Data Solutions team. The role involves crafting, implementing, and operating analytical solutions that improve security ...
Machine Learning Engineer
Cupertino, CA · On-site
MindSource is seeking a Machine Learning Engineer to join their Strategic Data Solutions team. The role involves crafting, implementing, and operating analytical solutions that improve security ...
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123.75 - $185/hr
Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. * Experience with cloud platforms (AWS) and containerization ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123.75 - $185/hr
Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. * Experience with cloud platforms (AWS) and containerization ...
Machine Learning Engineer
Campbell, CA · On-site
Aven is seeking Machine Learning Engineers who are passionate about building product models from idea to delivery. In this role, you will maintain models in production, build infrastructure for ...
Machine Learning Engineer
Campbell, CA · On-site
Aven is seeking Machine Learning Engineers who are passionate about building product models from idea to delivery. In this role, you will maintain models in production, build infrastructure for ...
Lead Machine Learning Engineer (IC)
San Jose, CA · On-site +1
$120K - $158K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Lead Machine Learning Engineer (IC)
San Jose, CA · On-site +1
$120K - $158K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Machine Learning Engineer
Campbell, CA · On-site
We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...
Machine Learning Engineer
Campbell, CA · On-site
We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...
Machine Learning Engineer
San Jose, CA · On-site
$55 - $60/hr
Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning systems. * Continuously evaluate and stay current with the latest ...
Quick apply
Machine Learning Engineer
San Jose, CA · On-site
$55 - $60/hr
Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning systems. * Continuously evaluate and stay current with the latest ...
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
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 ...
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...
Machine Learning Engineer
Mountain View, CA · On-site +1
$196K - $221K/yr
As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research ...
Machine Learning Engineer
Mountain View, CA · On-site +1
$196K - $221K/yr
As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research ...
Sr. Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Quantum Machine Learning Engineer information
See Santa Clara, CA salary details
$37K - $54.3K
1% of jobs
$54.3K - $71.6K
1% of jobs
$71.6K - $88.9K
5% of jobs
$88.9K - $106.2K
6% of jobs
$120.5K is the 25th percentile. Wages below this are outliers.
$106.2K - $123.5K
14% of jobs
$123.5K - $140.8K
14% of jobs
The median wage is $149.4K / yr.
$140.8K - $158.1K
18% of jobs
$158.1K - $175.4K
14% of jobs
$178.9K is the 75th percentile. Wages above this are outliers.
$175.4K - $192.7K
12% of jobs
$192.7K - $210K
11% of jobs
$210K - $227.3K
5% of jobs
$37K
$151.2K
$227.3K
How much do quantum machine learning engineer jobs pay per year?
As of Sep 4, 2026, the average yearly pay for quantum machine learning engineer in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.
What is a quantum machine learning engineer?
A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.
What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?
To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.
How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?
Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.
Is quantum machine learning a good career?
Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Santa Clara, CA?
For Quantum Machine Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Santa Clara, CA look for?
The top searched job categories for Quantum Machine Learning Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Quantum Machine Learning Engineer jobs?
Cities near Santa Clara, CA with the most Quantum Machine Learning Engineer job openings:
Full-time
Re-posted 22 days ago
Job description
Job Summary:
Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while collaborating with engineers and researchers.
Responsibilities:
• Architect and develop high-performance AI systems that combine LLMs, retrieval pipelines, and agentic frameworks tailored to semiconductor and electronics design tasks
• Curate, manage, and optimize large-scale training and evaluation datasets, leveraging both synthetic and human-collected data to support foundation model development
• Train, fine-tune, and deploy foundation models, optimizing for latency, accuracy, and cost across diverse deployment scenarios
• Design cutting-edge retrieval and search algorithms for use in engineering documentation, design schematics, datasheets, and other technical corpora
• Build robust evaluation pipelines to measure model performance across tasks such as code generation, schematic synthesis, and long-context reasoning
• Translate SOTA research into production-ready code, working across the full ML stack from paper to GPU.
• Own strategic technical initiatives, collaborating with customers, engineers, and researchers to solve domain-specific problems with measurable impact
Qualifications:
Required:
• Strong programming expertise in Python, C, or Rust, with a focus on writing performant and maintainable code for large-scale AI systems.
• Proficiency in Python and PyTorch: Strong experience in developing and training models using PyTorch
• GPU Programming with CUDA: Hands-on experience optimizing model training and inference on GPUs using CUDA, including custom kernel development
• Distributed Computing Frameworks: Familiarity with tools like DeepSpeed, Accelerate, Unsloth, or Kubeflow for efficient large-scale model training
• Training and Fine-Tuning: Expertise in fine-tuning and quantizing transformer-based models
• Research to Production: Proven ability to translate academic research papers into scalable, production-ready code.
• Experience in AI Research and Development: Background in AI companies or research labs, contributing to significant machine learning projects.
• Understanding of Model Evaluation and Deployment: Experience in evaluating model performance, deploying models into production environments, and monitoring their performance post-deployment.
Preferred:
• Some background in hardware/electronics, gained through professional, academic, or personal projects
• Contributions to open-source initiatives
• Notable awards or publications in leading journals/conferences
• Experience thriving in a fast-paced, hyper-growth startup environment
Company:
AI models for electronics Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.
Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while collaborating with engineers and researchers.
Responsibilities:
• Architect and develop high-performance AI systems that combine LLMs, retrieval pipelines, and agentic frameworks tailored to semiconductor and electronics design tasks
• Curate, manage, and optimize large-scale training and evaluation datasets, leveraging both synthetic and human-collected data to support foundation model development
• Train, fine-tune, and deploy foundation models, optimizing for latency, accuracy, and cost across diverse deployment scenarios
• Design cutting-edge retrieval and search algorithms for use in engineering documentation, design schematics, datasheets, and other technical corpora
• Build robust evaluation pipelines to measure model performance across tasks such as code generation, schematic synthesis, and long-context reasoning
• Translate SOTA research into production-ready code, working across the full ML stack from paper to GPU.
• Own strategic technical initiatives, collaborating with customers, engineers, and researchers to solve domain-specific problems with measurable impact
Qualifications:
Required:
• Strong programming expertise in Python, C, or Rust, with a focus on writing performant and maintainable code for large-scale AI systems.
• Proficiency in Python and PyTorch: Strong experience in developing and training models using PyTorch
• GPU Programming with CUDA: Hands-on experience optimizing model training and inference on GPUs using CUDA, including custom kernel development
• Distributed Computing Frameworks: Familiarity with tools like DeepSpeed, Accelerate, Unsloth, or Kubeflow for efficient large-scale model training
• Training and Fine-Tuning: Expertise in fine-tuning and quantizing transformer-based models
• Research to Production: Proven ability to translate academic research papers into scalable, production-ready code.
• Experience in AI Research and Development: Background in AI companies or research labs, contributing to significant machine learning projects.
• Understanding of Model Evaluation and Deployment: Experience in evaluating model performance, deploying models into production environments, and monitoring their performance post-deployment.
Preferred:
• Some background in hardware/electronics, gained through professional, academic, or personal projects
• Contributions to open-source initiatives
• Notable awards or publications in leading journals/conferences
• Experience thriving in a fast-paced, hyper-growth startup environment
Company:
AI models for electronics Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.