MATRIX Resources is now “Motion Recruitment” and proud to combine job boards to bring the talent community even more expansive market opportunities.

Machine Learning Engineer / Princeton, NJ / LLM / AI / NLP / AWS

Princeton, New Jersey


Full Time

$150k - $180k

Our client is a renowned cancer research and therapeutics company based in Princeton, NJ, as a Machine Learning Engineer. In this role, you will apply your expertise in generative AI, large language models, PyTorch, and natural language processing to develop cutting-edge machine learning solutions for cancer research and therapeutic development. Your responsibilities will include designing and implementing machine learning models, collaborating with researchers and data scientists, and deploying models on AWS infrastructure. This position offers a competitive salary, comprehensive benefits, and the opportunity to work onsite three days a week, fostering close collaboration with experts in the field and contributing to impactful advancements in cancer research and treatment.

Required Skills and Experience:

  • Strong background in generative AI and experience with large language models
  • Proficiency in PyTorch for machine learning model development and implementation
  • Knowledge of natural language processing (NLP) techniques and algorithms
  • Experience with deploying machine learning models using AWS services

What You Will be Doing:

  • Designing, developing, and implementing machine learning models with a focus on generative AI and NLP applications
  • Collaborating with cross-functional teams to gather requirements, conduct data analysis, and prototype solutions
  • Training, fine-tuning, and validating machine learning models using PyTorch and other tools
  • Deploying machine learning models to production environments on AWS infrastructure
  • Monitoring model performance, conducting evaluations, and implementing improvements as needed

The Offer:

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge machine learning projects in a collaborative environment
  • Career growth and learning opportunities, including training in emerging technologies

Posted by: Kate Cascaden