Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible
4+ years of machine learning experience
Work with large, complex datasets
Strong Python skills
Proven ability to deploy ML models into production
Hands‑on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines
Proficiency in frameworks such as PyTorch or TensorFlow
Familiarity with datastores (MySQL, Postgres, or MongoDB)

Private Club Host

Madison Square Garden

New York, NY 10008

Machine Learning Engineer (NYC)

Output Biosciences

New York, NY 10025

Expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
Experienced in code organization, version control, and collaborative software development practices
Skilled in working with terra-scale datasets and scaling models to billions of parameters
Strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics
Proficient in distributed computing environments
Experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects
Experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders
Bachelor's in Computer Science, Machine Learning, or a related technical field
Experience pre-training models
3+ years of experience in developing and implementing deep generative learning models
Proficient in Python
Experience in designing and implementing efficient data pipelines for processing and managing large datasets