Machine Learning Engineer (LLM)

Location: On-site in Downtown Brooklyn, New York City

Salary: $135K–$150K annually, plus equity

Company

hirify.global Labs develops machine learning detection systems and supporting software for data generation, model training, deployment, and production monitoring.

What you will do

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

Requirements

• B.S. or M.S. in Computer Science or a related field.
• Practical deep learning experience through internships, academic research projects, Kaggle competitions, or substantial side projects.
• 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 on-site in the Downtown Brooklyn office in New York City.

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 and orchestration tools such as Spark, Beam, or Airflow.
• Experience with MLOps, experiment tracking, DevOps tools, or AWS/GCP infrastructure.

Culture & Benefits

• In-person collaboration in the Downtown Brooklyn office.
• Opportunity to participate in machine learning research and contribute to publications.
• Equity offered in addition to salary.