Machine Learning Engineers (AI)

Location: On-site in Downtown Brooklyn, New York

Salary: $150K–$400K per year plus equity

Company

Builds AI detection systems, publishes research on AI detection techniques, and develops products for everyday use.

What you will do

• Build robust data pipelines that mine the Internet at scale and generate synthetic text examples for detection model training.
• Manage distributed infrastructure for multi-GPU LLM training.
• Profile and optimize training and inference code.
• Deploy efficient inference pipelines for serving LLMs at scale in real customer environments.
• Contribute to research, publications, and technical innovations across research and engineering.

Requirements

• B.S. or M.S. in Computer Science or a related field.
• Strong programming skills in Python and modern machine learning frameworks.
• Excellent understanding of transformers and LLM fundamentals.
• Comfort working across research and engineering boundaries.
• Ability to work in person at the Brooklyn, New York office.

Nice to have

• Experience with NVIDIA GPU programming and CUDA.
• Experience with distributed training frameworks such as DeepSpeed, FSDL, or Ray.
• Experience with inference frameworks such as vLLM.
• Experience with large-scale data processing, orchestration, MLOps, experiment tracking, DevOps, or AWS/GCP infrastructure.

Culture & Benefits

• Small, collaborative team of researchers and engineers.
• Meaningful ownership over technical and strategic direction.
• High-touch, high-energy, primarily in-person working environment.
• Equity included in the compensation package.