Machine Learning Jobs in Irvine, CA
Machine learning jobs in Irvine are in strong demand, concentrated in the Irvine Spectrum, Irvine Business Complex, and the Research Park corridor across autonomous systems, healthtech, semiconductor, and enterprise software. Employers actively hiring include FieldAI, Skyworks Solutions, and Edwards Lifesciences. See the openings below and apply to the ones that match your experience.
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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 Machine Learning JobsMachine Learning Job Market in Irvine
Who's Hiring
- FieldAI236
- Skyworks Solutions158
- Edwards Lifesciences158
- Comcast79
- Panasonic79
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
Machine Learning Jobs in Irvine: Frequently Asked Questions
How do I get a machine learning job in Irvine?
Focus on the sectors that dominate Irvine's market: autonomous and connected vehicle systems, medical devices and healthtech, semiconductor design, and enterprise SaaS. The Irvine Spectrum and Irvine Business Complex host the highest concentration of relevant employers. Candidates with hands-on Python, PyTorch, or TensorFlow experience and at least one deployed model in a production environment stand out, and familiarity with edge inference or time-series data is a consistent advantage in Irvine's hardware-adjacent roles.
Which companies hire machine learnings in Irvine?
Irvine machine learning roles are posted by FieldAI, Skyworks Solutions, and Edwards Lifesciences and others right now, based on current listings on Migrate Mate as of November 2026. Irvine's employer base skews toward mid-size technology firms, medical device companies, and defense and semiconductor contractors, many of which maintain dedicated applied ML or data science teams.
Are there remote machine learning jobs in Irvine?
Yes, though it depends on the role: model research and data engineering work is frequently remote-eligible, while on-device or hardware-integrated ML positions typically require on-site access to lab equipment or proprietary systems. About 25% of machine learning openings tied to Irvine are remote or hybrid as of November 2026, reflecting broader flexibility for software-side ML work. Applied scientists embedded in product teams tend to see the most remote flexibility among Irvine postings.
How can I get a machine learning job in Irvine with little or no experience?
The most realistic entry path in Irvine is through junior data scientist or ML engineer roles at mid-size SaaS or healthtech companies, many of which post entry-level openings in the Irvine Spectrum area. UCI's proximity means co-op programs and research partnerships with local firms are common, and a strong capstone project or Kaggle portfolio can substitute for direct work history. Lateral moves from data analyst or software engineering roles at Irvine's technology companies are another well-worn path into applied ML.
Which industries hire the most machine learnings in Irvine?
The sectors hiring the most machine learnings in Irvine are Technology & Software and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. Irvine's concentration of semiconductor firms, medical device companies, and autonomous systems startups creates consistent demand for ML engineers who can work close to hardware and regulated data environments.
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