Machine Learning Research Scientist, Lazarus AI

• Ph.D. in Computer Science, Artificial Intelligence, or a related field or equivalent experience
• Previous experience conducting research on, fine-tuning, and building LLMs
• Mastery of the Transformer architecture, Hugging Face platform, and Python including either PyTorch or Tensorflow
• Experience delivering deep learning or LLM-based models to industry customers
• Experience with deep learning architectures, reinforcement learning, generative models, or other advanced machine learning paradigms
• Solid understanding of machine learning fundamentals, optimization techniques, and evaluation metrics
• Working knowledge of Pandas and NumPY
• Proficiency in working with large datasets and employing appropriate preprocessing and feature engineering techniques
• Proven track record of conducting impactful research in machine learning, demonstrated through publications in top-tier conferences or journals
• Ability to work independently and collaboratively, with excellent problem-solving and communication skills
• Strong critical thinking and analytical skills, with a passion for staying at the forefront of technological advancements

Desirable

• Lazarus is looking for an Artificial Intelligence Research Scientist, who will be at the forefront of designing, developing, and implementing AI models to fundamentally transform the way businesses deal with information stored in all kinds of documents
• Your work will contribute to the advancement of our core technologies with an emphasis on addressing the toughest use cases in areas such as document understanding, natural language processing, computer vision, as well as agents that can orchestrate the application of a suite of those tools
• This position reports to the Head of AI
• Conduct in-depth hands-on research in machine learning, incorporating literature reviews, experimentation, and community conversations as part of a comprehensive strategy to drive the development of novel algorithms and methodologies allowing us to tackle the hardest problems our customers face
• Design, implement, and iterate on machine learning models to address specific business and technical challenges presented by our customer-facing teams
• Establish internal processes and expectations for evaluating our models and comparing capabilities to competitive offerings and conveying results to internal and external audiences
• Collaborate with the team to review plans and experimentation results, refine roadmaps based on early data, and develop other team members
• Stay current with the latest advancements in machine learning research, contributing to the company's thought leadership through publications and presentations and establishing a research roadmap delivering near-term solutions as well as long-term competitive advantage
• Collaborate with the engineering team to integrate research outputs into production systems, ensuring accuracy, scalability, and reliability
• Write white papers and blog posts related to the models you construct