Senior Algorithm Engineer (Deep Learning) (E)

Base Pay Range: $94,400.00 - $160,500.00

Primary Location: USA-MI-Ann Arbor-KLA

KLA’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 Overview

KLA 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 world’s leading technology providers to accelerate the delivery of tomorrow’s 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

Senior Algorithm Engineers are core to KLA’s technology, while we do not currently have an opening, we are always building our Algorithm Engineering talent community, we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA.

Responsibilities:

KLA is seeking a motivated, experienced algorithm engineer to join our algorithms team within our AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. In this position, you will bring proven experience and/or academic background to research and develop new Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, and Image Processing algorithms for KLA’s innovative Broadband Plasma wafer inspection products. You will help drive creative ideas, provide technical expertise, and support other team members, collaborators, and customers.

Qualifications:

• 1-7 years of work experience required in development of any of these followings: Computer Vision, Deep Learning (for images), Machine Learning, Artificial Intelligence (for images), or Image Processing.
• Experience prototyping Algorithms using MATLAB or Python, and implementing algorithms in C++ software under Linux is highly preferred.
• Full stack hands-on experience with data and backend infrastructure and front-end and user interface for algorithms is preferred.
• Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools.
• Great teammate with excellent written and verbal communication skills.

What will differentiate you

The ideal candidate will have a strong understanding of ground breaking research in deep learning and computer vision. Hands on experience solving computer vision challenges, strong image processing fundamentals, and an appreciation of complex image acquisition systems are highly desirable.

Hybrid Work:

This position allows flexibility and may require at least 2-3 days in a week at office.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Degree and related work experience of 5 years.

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