Algorithm Engineer - Deep Learning

KLA • Milpitas, CA

1d • Onsite

About The Position

KLA is seeking a full-time Deep Learning Algorithm Engineer passionate about pioneering Deep Learning (DL), foundation models, and GenAI for image processing and computer vision applications within the semiconductor process control business. The role requires a strong background and in-depth experience in deep learning, particularly in object detection, segmentation, vision foundation models, and multimodal models. Candidates should possess a deep understanding of relevant theory and practical experience applying DL/GenAI models to real-world applications. The ideal candidate will be capable of independently managing the entire deep learning project lifecycle, from conceptualization and exploration to design, implementation, and deployment.

Requirements

• Academic or industrial experience applying deep learning or GenAI to real-world problem(s), with impactful results.
• Demonstrated deep learning expertise via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH, etc.) and/or industrial patents and/or impactful open-source projects is required.
• Proficiency in Python and one additional programming language from: C++, Java, Rust, Go.
• Proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX, or equivalent).
• Doctorate (academic) degree with 0 years of related work experience; or Master’s degree with 3 years of related work experience.

Nice To Haves

• Experience with DL model optimization for reduced precision (e.g., FP8, FP4) is a plus.
• Experience with VFM pretraining or post-training is a plus.
• Experience in semiconductor process control is a plus.
• In-depth experience applying deep learning, Vision Foundation Models (VFM), or Vision Language Models (VLM) in at least one of the following areas: computer vision, image processing, robotics, NLP, or equivalent.
• Experience with GenAI coding tools, vibe coding, or vibe engineering.

Responsibilities

• Understand state-of-the-art (SOTA) deep learning and GenAI models.
• Connect SOTA DL modeling approaches to domain problem statements.
• Analyze modeling requirements based on product feature requirements.
• Design deep learning and GenAI models to meet modeling requirements.
• Implement modeling prototypes and perform analysis.
• Perform model training and/or tuning on domain datasets.
• Evaluate and validate model performance against defined metrics.
• Analyze model performance bottlenecks.
• Design new DL modules or components to improve performance.
• Optimize DL or GenAI model throughput and cost.
• Perform A/B testing between models on real data.
• Work and communicate collaboratively with peers.
• Present ideas, concepts, and results in professional technical settings.

Benefits

• medical
• dental
• vision
• life
• 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
• paid company holidays
• family care and bonding leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees