Coherent Corp. · 3 months ago
Machine Learning Operations Contractor
Fremont, CA
Full-time, Contract
Onsite
Entry, Mid Level
$50/hr - $69/hr
2+ years expCoherent Corp. is a global leader in lasers and engineered materials, and they are seeking a Machine Learning Operations (MLOps) Contractor to enhance semiconductor laser design and manufacturing through AI/ML integration. The role involves developing and validating models based on production data and deploying scalable models to improve yield and screening accuracy.
AerospaceIndustrialMachinery ManufacturingManufacturingNavigationSemiconductor
Responsibilities
Enhance data pipelines across wafer processes, die-level test, and experimentation
Develop supervised and unsupervised models for yield prediction and performance screening
The ideal candidate will be proficient in data pre-processing, feature extraction, dimensionality reduction, clustering, classification, and regression
Apply model selection to identify effective approaches and validate models using known techniques
Integrate domain knowledge from semiconductor laser physics into ML models for improved interpretability
Work closely with photonics researchers and process engineers to align ML approaches with experimental and production objectives and quantify cost-benefit analysis
Document methodologies, model performance, and research findings clearly
Provide regular updates and deliverables to project stakeholders
Qualification
Required
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
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 with cloud-based ML platforms (AWS, GCP, Azure) and MLOps platforms such as Kubernetes
Ability to visualize and communicate insights effectively
Familiarity with inverse design concepts
Experience with NN architectures such as CNNs, AEs, GANs and with ensemble learning methods including gradient boosting and random forests
Enhance data pipelines across wafer processes, die-level test, and experimentation
Develop supervised and unsupervised models for yield prediction and performance screening
Apply model selection to identify effective approaches and validate models using known techniques
Integrate domain knowledge from semiconductor laser physics into ML models for improved interpretability
Work closely with photonics researchers and process engineers to align ML approaches with experimental and production objectives and quantify cost-benefit analysis
Document methodologies, model performance, and research findings clearly
Provide regular updates and deliverables to project stakeholders
Preferred
Background in photonics, semiconductor devices, or manufacturing yield optimization is a strong plus
Benefits
Competitive compensation program
Company
Coherent Corp.
Coherent empowers market innovators to define the future through breakthrough technologies, from materials to systems.
10001+ employees
H1B Sponsorship
Coherent Corp. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (18)
2023 (16)
2022 (6)
2021 (7)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$3.44BKey Investors
JP Morgan Chase
2025-09-26Post Ipo Debt· $3.03B
2021-05-07Post Ipo Equity· $410M
1987-10-09IPO
Leadership Team
Sherri Luther
CFO and Treasurer
G
Giovanni Barbarossa
Chief Strategy Officer & President Materials Segment
Recent News
GlobeNewswire
2025-12-19
2025-10-07
Company data provided by crunchbase