Senior ML Engineer Jobs in Irvine, CA
Senior ML Engineer jobs in Irvine concentrate in the Irvine Spectrum, University Research Park, and the Irvine Technology Corridor, with demand driven by semiconductor, biotech, and enterprise software companies. Employers actively hiring include FieldAI, Comcast, and Panasonic, with openings across computer vision, NLP, and MLOps. Find a role that fits below and apply directly.
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Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team.
The DevOps Intern will work alongside engineers to help build, maintain, and enhance our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.
Requirements
- Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
- Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance.
- Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval.
- Implement CI/CD pipelines to automate testing and deployment processes.
- Collaborate across teams to ensure seamless integration of cloud-native tools and practices.
- Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
- Troubleshoot & resolve issues across different environments (development, staging, production).
- Participate in code reviews, pair programming, and knowledge sharing sessions
Qualifications
- Candidate pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience, with relevant coursework, research, or project experience.
- Proficiency in Python, with familiarity using FastAPI for API development.
- Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
- Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
- Familiarity with database systems, including MongoDB, PostgreSQL, and NFS.
- Exposure to on-premises storage solutions like Ceph.
- Familiarity with Linux system administration.
- Willingness to learn to write clean, maintainable code and perform thorough testing.
- Strong problem-solving skills and a strong attention to detail.
- Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus.
- Familiarity with Kubernetes operators and Helm charts is a plus.
- Exposure to container orchestration on-premises using K8s or similar technologies is a plus. Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.
Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team.
The DevOps Intern will work alongside engineers to help build, maintain, and enhance our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.
Requirements
- Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
- Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance.
- Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval.
- Implement CI/CD pipelines to automate testing and deployment processes.
- Collaborate across teams to ensure seamless integration of cloud-native tools and practices.
- Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
- Troubleshoot & resolve issues across different environments (development, staging, production).
- Participate in code reviews, pair programming, and knowledge sharing sessions
Qualifications
- Candidate pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience, with relevant coursework, research, or project experience.
- Proficiency in Python, with familiarity using FastAPI for API development.
- Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
- Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
- Familiarity with database systems, including MongoDB, PostgreSQL, and NFS.
- Exposure to on-premises storage solutions like Ceph.
- Familiarity with Linux system administration.
- Willingness to learn to write clean, maintainable code and perform thorough testing.
- Strong problem-solving skills and a strong attention to detail.
- Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus.
- Familiarity with Kubernetes operators and Helm charts is a plus.
- Exposure to container orchestration on-premises using K8s or similar technologies is a plus. Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.
Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.
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Find Senior ML Engineer JobsSenior ML Engineer Job Market in Irvine
Who's Hiring
- FieldAI168
- Comcast84
- Panasonic84
- Syntiant84
- Skyworks Solutions84
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
Senior ML Engineer Jobs in Irvine: Frequently Asked Questions
How do I get a senior ml engineer job in Irvine?
Target Irvine's semiconductor and chip design firms, medical device companies, and enterprise SaaS employers, all of which hire senior ml engineers at a steady clip. The Irvine Spectrum and University Research Park districts have the highest concentration of openings. Candidates with production ML deployment experience, Python proficiency, and familiarity with cloud platforms like AWS or Azure stand out in this market, as do those with domain knowledge in health tech or hardware-adjacent AI.
Which companies hire senior ml engineers in Irvine?
Employers hiring senior ml engineers in Irvine right now include FieldAI, Comcast, and Panasonic, based on current listings on Migrate Mate as of November 2026. Irvine's employer mix skews toward established tech subsidiaries, medical technology firms, and mid-size software companies that maintain dedicated AI and ML engineering teams.
Are there remote senior ml engineer jobs in Irvine?
Yes, though availability depends on the role: senior ml engineers focused on research, modeling, and data pipeline work tend to find remote options more readily than those supporting on-site hardware or lab environments. About 33% of senior ml engineer openings tied to Irvine are remote or hybrid as of November 2026, reflecting broader flexibility across the local tech sector. Model development and MLOps roles at Irvine software and fintech employers are the most likely to offer fully remote arrangements.
How can I get a senior ml engineer job in Irvine with little or no experience?
The most realistic path in Irvine is to start in a data engineer or junior ML engineer role at one of the city's mid-size SaaS or health tech companies, which often prefer local candidates familiar with their vertical. UCI's proximity means employers here also hire research assistants and recent graduates for ML-adjacent roles that build toward senior-level work. Building a portfolio of end-to-end ML projects, contributing to open-source libraries, and earning cloud certifications all strengthen your candidacy for Irvine's technically demanding senior roles.
Which industries hire the most senior ml engineers in Irvine?
Irvine senior ml engineer roles concentrate in Technology & Software and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. Irvine's unique mix of semiconductor manufacturers, medical device innovators, and enterprise software companies creates sustained demand for applied ML expertise tied to product and hardware development cycles.
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