Lead Machine Learning Engineer at KLA

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SemiconductorIndustries

Requirements

Passionate about solving complex problems and staying hands-on with technology
Experience leading teams or projects
Expertise in machine learning, MLOps, LLMs, and ML applications
Ability to thrive in solving hard problems and guiding teams through influence
Knowledge of AI model design, development, deployment, and integration of ML/AI research into production
Skills in data pipeline management: selecting, cleaning, and preparing datasets
Proficiency in running experiments, analyzing results, and fine-tuning models for performance
Strong collaboration skills with data scientists, engineers, and product managers
Mentoring and leadership abilities to guide junior team members and foster a learning culture

Responsibilities

Drive AI Product Development: Lead the design and implementation of AI solutions that meet real-world business needs
Build and Deploy Infrastructure: Architect scalable systems and implement modern MLOps practices at customer sites
Prototype Rapidly: Experiment with LLMs and ML applications to uncover new use cases and deliver quick wins
Stay Ahead of the Curve: Integrate groundbreaking ML/AI research into production-ready tools
Lead the Data Pipeline: Select, clean, and prepare datasets to ensure high-quality model training
Optimize Performance: Run experiments, analyze results, and fine-tune models for speed and accuracy
Collaborate multi-functionally: Work closely with data scientists, engineers, and product managers to deliver impactful solutions
Mentor Through Influence: Guide junior team members and develop a culture of learning

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceSoftware EngineeringComputer VisionImage Processing

Questions & Answers

Common questions about this position

What is the employment type for this Lead Machine Learning Engineer position?

The position is full-time employment.

Is this Lead Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What skills are required for the Lead Machine Learning Engineer role?

The role requires leadership experience in teams or projects, passion for solving complex problems, ability to guide teams through influence, and hands-on expertise with the latest in machine learning, particularly designing, developing, and deploying AI models for detecting nanoscale defects.

What is the company culture like at KLA?

KLA offers an exciting work environment where teams thrive on tackling really hard problems, with a strong focus on innovation, investing 15% of sales back into R&D, and collaboration among expert teams of physicists, engineers, data scientists, and problem-solvers.

What makes a strong candidate for this Lead Machine Learning Engineer position?

Strong candidates have led teams or projects, are passionate about solving complex problems like detecting nanoscale defects with limited data, enjoy staying hands-on with cutting-edge machine learning technology, and can guide teams through influence while leading innovation.

KLA

Provides process control and yield management solutions

About KLA

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 promote sustainability by committing to using 100% renewable electricity in its operations by 2030.

Milpitas, CaliforniaHeadquarters

1975Year Founded

IPOCompany Stage

Industrial & Manufacturing, EnergyIndustries

5,001-10,000Employees