Senior Machine Learning Scientist

AppZen

AppZen

Software Engineering
San Jose, CA, USA
Posted on Wednesday, September 6, 2023
AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.
We are looking for an experienced Machine Learning Scientist to come and work on our growing AI stack. If you are excited about cutting-edge work in Generative AI, NLP, Reinforcement Learning, Scalable Model Deployment, then AppZen is the right place for you to use and grow your skills.

Requirements:

  • Building Generative/NLP/Document AI models - Transformers, Reinforcement Learning, Multimodal transformers.
  • Ability to fine tune/feedback driven LLMs and custom generative ML (chatbots, summaries)
  • Ability to apply LLM building principles across domains
  • Ability to build accurate scalable language models (RLHF, Knowledge Distillation)
  • Solid understanding of machine learning fundamentals and familiar with standard algorithms and techniques
  • Expert in object oriented Python
  • Experience with Graph ML, Pytorch, TensorFlow/Keras, Scikit Learn, Matplotlib, NLTK or other associated packages
  • Follow through data quality in all stages of ML pipeline from data exploration to production
  • Self starter and ability to manage and own projects
  • MS with 3+ years or PhD with 2+ years of related work experience
  • Able to work onsite in San Jose, CA

Benefits:

  • Competitive salary package and bonus or variable incentive pay depending on role
  • Comprehensive medical, dental, vision and life insurance benefits
  • Unlimited PTO
  • Paid parental leave for eligible employees
  • 401(k) match
  • $250 annual reimbursement for continuous learning
  • Onsite gym access for HQ (San Jose) employees
  • Lots of office perks like snacks, happy hours, company events
  • These benefits are only applicable to full time employees
We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.