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Lazarus AI

Machine Learning Research Scientist

Job Posted 7 Days Ago Posted 7 Days Ago
Remote
Hiring Remotely in United States
150K-200K
Senior level
Remote
Hiring Remotely in United States
150K-200K
Senior level
Lazarus seeks a Machine Learning Research Scientist to design and implement AI models, focusing on document understanding, NLP, and computer vision, while advancing core technologies and collaborating on impactful research.
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At Lazarus, we build foundation models to help people solve the world's toughest problems. Enterprise and government clients use our APIs to power products and workflows that keep humans focused on what we do best. We're a venture-backed team headquartered in the Boston, MA area, and we share a passion for innovation, growth, and a commitment to the responsible use of AI.

You can check out a demo of what we do here.


Job Overview

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.


Responsibilities

  • 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.

Requirements

  • 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.

Nice-to-haves

  • Working knowledge of C++, specifically with CUDA
  • Startup experience
  • Experience defining and establishing MLOps techniques for enabling Model Lifecycle Development automation
  • Document interpretation experience

Benefits

  • Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans
  • Flexible working from home arrangements
  • Opportunities for growth and professional development
  • A collaborative and supportive company culture
  • Access to cutting-edge technology and resources for research and development
  • Salary range: $150,000-$200,000


Lazarus AI is an equal opportunity employer. We are committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. We do not tolerate discrimination or harassment of any kind. This applies to every aspect of employment at Lazarus, including, but not limited to, employment, training, promotion, demotion, transfer, leaves of absence and termination.

Top Skills

C++ (Cuda)
Hugging Face
Numpy
Pandas
Python
PyTorch
TensorFlow

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