Full-Time

Algorithm Engineer

Deep Learning

Confirmed live in the last 24 hours

KLA

KLA

5,001-10,000 employees

Provides process control and yield management solutions

Industrial & Manufacturing
Energy

Compensation Overview

$149k - $253.3kAnnually

+ Performance Incentive Programs

Senior

Milpitas, CA, USA

Category
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Rust
Python
Tensorflow
Pytorch
Java
Go
iOS/Swift
Natural Language Processing (NLP)
C/C++
Computer Vision
Requirements
  • PhD 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.
  • Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years.
Responsibilities
  • 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.

KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to improve manufacturing processes while committing to sustainability, with a target of using 100% renewable electricity in its operations by 2030.

Company Stage

IPO

Total Funding

N/A

Headquarters

Milpitas, California

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • KLA's consistent financial performance, including strong revenue and cash flow, indicates robust financial health and stability.
  • The company's validated science-based targets for GHG emissions reduction highlight its leadership in sustainability, potentially attracting environmentally-conscious talent and investors.
  • Regular cash dividends reflect a commitment to returning value to shareholders, which can be appealing to employees holding stock options.

What critics are saying

  • The semiconductor industry is highly competitive and cyclical, which can lead to periods of volatility and uncertainty for employees.
  • Achieving ambitious sustainability goals, such as 100% renewable electricity by 2030, may present operational and logistical challenges.

What makes KLA unique

  • KLA's focus on advanced process control and process-enabling solutions for the semiconductor industry sets it apart from competitors who may not specialize as deeply in this niche.
  • The company's commitment to reducing GHG emissions and achieving 100% renewable electricity by 2030 demonstrates a strong focus on sustainability, which is increasingly important in the tech industry.
  • KLA's extensive collaboration with leading customers and its expert teams of physicists, engineers, and data scientists provide a unique competitive edge in innovation and problem-solving.

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