Algorithm Engineer
KLATencor Corporation
Base Pay Range: $94,400.00 – $160,500.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLAs 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. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred Qualifications
Responsibilities
KLA is seeking a highly motivated individual to join our world-class AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. This individual will utilize his or her skills in Machine Learning and Artificial Intelligence to develop advanced Machine Learning (ML)/Deep Learning (DL) algorithms be integrated into KLAs metrology challenges and metrology applications at FaST division. Responsibilities of this position include:
Research, develop and implement groundbreaking machine learning solutions for semiconductor device and thin film metrology
Rapid prototype and validate new machine learning, deep learning algorithms
Work in a highly multi-functional organization to drive systems integration of algorithms.
Work with both internal and external customers to define the requirements for next-generation algorithms to solve leading-edge metrology problems
Write robust production quality source code.
Bring forward and drive creative ideas, test ideas on metrology challenge use cases, demonstrate the feasibility, and develop production-ready code, and provide support as needed.
Evaluating and improving machine learning model performance comparing and assessing various machine learning models
Give presentations both internally and externally regarding the work
Preferred Qualifications
Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics with 1 solid year of industry work experience
Strong background in Machine Learning, deep learning
Proficiency in Python, especially in writing production-quality, object-oriented code
Knowledge of common deep learning frameworks like TensorFlow
Ability to formulate problems into mathematical equations.
Great teammate with excellent written and verbal communication skills.
Ability to manage multiple tasks and prioritize work
Background in machine learning in regression problems, TensorFlow framework, and generative modeling
Experience in Azure DevOps is a plus