KLA-Belgium
Algorithm Engineer, Deep Learning
KLA-Belgium, Milpitas, California, United States, 95035
Algorithm Engineer, Deep Learning
ApplyLocations: Milpitas, CATime Type: Full timePosted on: Posted 2 Days AgoJob Requisition ID: 2425532Base Pay Range: $149,000.00 - $253,300.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. KLA focuses more than average on innovation and we invest 15% of sales back into R&D.Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing.Job Description/Preferred QualificationsWe are looking for a full-time Staff Algorithm Engineer on Deep Learning who is passionate about pioneering Machine Learning, Deep Learning, Foundation Model and GenAI for image processing and computer vision applications in KLA semiconductor process control business. The qualified candidates are expected to have strong background and industrial experience on designing and deploying Deep Learning/GenAI models for Object Detection, Segmentation, Anomaly Detection Applications in real world.Design AI sub-system component for a product feature.Lead and coach junior engineer for designing/implementing AI sub-system component.Work and communicate through a collaborative manner with global peers across functions.Understand and evaluate state-of-the-art (SOTA) DL/GenAI algorithms.Understand and evaluate SOTA Computer Vision algorithms.Implement SOTA Deep Learning/GenAI/CV models.Understand and evaluate prompt engineering method (to GenAI).Understand and apply DL/GenAI training techniques to model development.Design and improve DL models for a specific feature request.Design new Deep Learning modules or components.Optimize and Fine-tuning DL or GenAI Models.Evaluate and validate the performance of DL or GenAI Models.Perform A/B Test between models/applications on real data.Perform professional technical presentation on ideas, concepts, results to peers and customers.Qualifications/Education DesiredPhD degree in Computer Science, Electrical Engineering, or related Quantitative Fields.3+ Years industrial experience on applying DL/GenAI on real world problem, with impactful results.In-depth experience on at least one of the modeling areas including Deep Learning, Reinforcement Learning, LLMs, Vision Foundation Model, GenAI, Multi-Modal Modeling, etc.In-depth experience on at least one of the application fields including Computer Vision, Image Processing, Video Processing, Robotics, NLP or equivalent.Proficiency in Python.Proficiency in at least one additional programming language - from the list of C/C++, Rust, Go, JAVA or Swift.Proficiency in at least one Deep Learning framework - e.g., PyTorch, TensorFlow, JAX, PaddlePaddle or equivalent.Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.Minimum QualificationsDoctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years.Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.
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ApplyLocations: Milpitas, CATime Type: Full timePosted on: Posted 2 Days AgoJob Requisition ID: 2425532Base Pay Range: $149,000.00 - $253,300.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. KLA focuses more than average on innovation and we invest 15% of sales back into R&D.Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing.Job Description/Preferred QualificationsWe are looking for a full-time Staff Algorithm Engineer on Deep Learning who is passionate about pioneering Machine Learning, Deep Learning, Foundation Model and GenAI for image processing and computer vision applications in KLA semiconductor process control business. The qualified candidates are expected to have strong background and industrial experience on designing and deploying Deep Learning/GenAI models for Object Detection, Segmentation, Anomaly Detection Applications in real world.Design AI sub-system component for a product feature.Lead and coach junior engineer for designing/implementing AI sub-system component.Work and communicate through a collaborative manner with global peers across functions.Understand and evaluate state-of-the-art (SOTA) DL/GenAI algorithms.Understand and evaluate SOTA Computer Vision algorithms.Implement SOTA Deep Learning/GenAI/CV models.Understand and evaluate prompt engineering method (to GenAI).Understand and apply DL/GenAI training techniques to model development.Design and improve DL models for a specific feature request.Design new Deep Learning modules or components.Optimize and Fine-tuning DL or GenAI Models.Evaluate and validate the performance of DL or GenAI Models.Perform A/B Test between models/applications on real data.Perform professional technical presentation on ideas, concepts, results to peers and customers.Qualifications/Education DesiredPhD degree in Computer Science, Electrical Engineering, or related Quantitative Fields.3+ Years industrial experience on applying DL/GenAI on real world problem, with impactful results.In-depth experience on at least one of the modeling areas including Deep Learning, Reinforcement Learning, LLMs, Vision Foundation Model, GenAI, Multi-Modal Modeling, etc.In-depth experience on at least one of the application fields including Computer Vision, Image Processing, Video Processing, Robotics, NLP or equivalent.Proficiency in Python.Proficiency in at least one additional programming language - from the list of C/C++, Rust, Go, JAVA or Swift.Proficiency in at least one Deep Learning framework - e.g., PyTorch, TensorFlow, JAX, PaddlePaddle or equivalent.Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.Minimum QualificationsDoctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years.Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.
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