Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Fremont, CA, United States
Open 5 months, first seen by us 153 days agoWorking Conditions On-site 6-12 months temporary assignmentRead the full posting
We are seeking a Machine Learning Operations (MLOps) Contractor to drive semiconductor laser design and manufacturing excellence through the development and deployment of AI/ML within production. The emphasis will be on yield improvement, screening accuracy, and design optimization. The MLOps Contractor will develop and validate models based on extensive production data and deploy scalable models through a combination of cloud-based infrastructure and on-premises high performance inference. This position represents a unique opportunity to make an impactful contribution to the laser manufacturing industry and to pioneer AI/ML integration across Coherent international manufacturing sites. This is a contract-based position, ideal for a data scientist or engineer with strong AI/ML expertise and a background in photonics, semiconductor device physics, or semiconductor manufacturing. Primary Duties & Responsibilities
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Enhance data pipelines across wafer processes, die-level test, and experimentation
Develop supervised and unsupervised models for yield prediction and performance screening
Deploy scalable models on cloud infrastructure and on-premises high performance inference
Integrate semiconductor laser physics into ML models for better interpretability
Document methodologies, model performance, and research findings clearly
Enhance data pipelines across wafer processes, die-level test, and experimentation.
Develop supervised and unsupervised models for yield prediction and performance screening.
deploy scalable models through a combination of cloud-based infrastructure and on-premises high performance inference
Integrate domain knowledge from semiconductor laser physics into ML models for improved interpretability.
Document methodologies, model performance, and research findings clearly.
Expertise with ML frameworks: TensorFlow, PyTorch, scikit-learn.
6-12 months temporary assignment
Proficiency in both Python and C/C++ programming data structures for performance optimization
Experience in high-performance ML inference (LibTorch, CUDA, ONNX)
Experience with cloud-based ML platforms (AWS, GCP, Azure) and MLOps platforms such as Kubernetes
Ability to visualize and communicate insights effectively
Education & Experience - B.S. with 5-year industry experience or M.S./ Ph.D. with 2-year industry experience in Electrical Engineering, Computer Science, Physics, Photonics, or related field. - Proven track record in AI/ML deployment and integration within high visibility projects.
Open 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 153
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
1 open job
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Expertise with ML frameworks: TensorFlow, PyTorch, scikit-learn. - Proficiency in both Python and C/C++ programming data structures for performance optimization - Experience in high-performance ML inference (LibTorch, CUDA, ONNX)
- Experience in high-performance ML inference (LibTorch, CUDA, ONNX) - Experience with cloud-based ML platforms (AWS, GCP, Azure) and MLOps platforms such as Kubernetes - Ability to visualize and communicate insights effectively
Skills - Expertise with ML frameworks: TensorFlow, PyTorch, scikit-learn. - Proficiency in both Python and C/C++ programming data structures for performance optimization
Complete your application on hcwp.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
We are seeking a Machine Learning Operations (MLOps) Contractor to drive semiconductor laser design and manufacturing excellence through the development and deployment of AI/ML within production. The emphasis will be on yield improvement, screening accuracy, and design optimization. The MLOps Contractor will develop and validate models based on extensive production data and deploy scalable models through a combination of cloud-based infrastructure and on-premises high performance inference. This position represents a unique opportunity to make an impactful contribution to the laser manufacturing industry and to pioneer AI/ML integration across Coherent international manufacturing sites. This is a contract-based position, ideal for a data scientist or engineer with strong AI/ML expertise and a background in photonics, semiconductor device physics, or semiconductor manufacturing.
Primary Duties & Responsibilities
Data Processing and Model Development
Validation and Deployment
Collaboration and Reporting
Education & Experience
Skills
Working Conditions
Safety Requirements
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
Quality and Environmental Responsibilities
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity – Create an Environment of Trust
Collaboration – Innovate Through the Sharing of Ideas
Accountability – Own the Process and the Outcome
Respect – Recognize the Value in Everyone
Enthusiasm – Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.
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Fremont, CA, United States
Working Conditions - On-site - 6-12 months temporary assignment
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