AI Engineer

KLAAnn Arbor, MI
2d

About The Position

We are seeking a skilled AI Engineer to join our Services AI Engineering team. You will focus on creating robust online and offline learning systems, fine-tuning models for optimal performance, developing evaluation strategies and ensuring efficient model inference. The ideal candidate will have a strong background in reinforcement learning theory and application, experience with model optimization techniques and a passion for driving advanced research and development for KLA use cases.

Requirements

  • Master's degree without experience OR Bachelor's degree and a minimum of 2 years' of related experience; or equivalent work experience

Nice To Haves

  • Proficiency in model fine-tuning techniques for large-scale models and tailoring them to specific tasks
  • Experience with inference optimization techniques (e.g. quantization, pruning, hardware-specific optimizations)
  • Hands-on experience in machine learning, natural language processing, and AI technologies with contributions to open-source AI/ML projects
  • Prior experience in a similar industry is a plus

Responsibilities

  • Research emerging AI technologies focused on contextual classification, multimodal models, and AI databases
  • Design, develop, and deploy proof of concepts from research
  • Collaborate with cross-functional teams to integrate models into our existing systems and workflow
  • Participate in AI research, systems architecture discussions and code reviews
  • Conduct data engineering and analysis to improve model accuracy and efficiency
  • Fine-tune models based on feedback and performance metrics

Benefits

  • medical
  • dental
  • vision
  • life
  • 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
  • paid company holidays
  • family care and bonding leave
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service