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About the Role
Pangram Labs is hiring a junior Machine Learning Engineer to build software supporting the machine learning development cycle, from data generation and model training to deployment and monitoring of production systems in customer environments. ML engineers contribute to research, publishing, and innovation, though formal research experience is not required.
Responsibilities
- 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
Requirements
- B.S. or M.S. in Computer Science or related areas
- Practical experience with deep learning: internships, undergrad or masters’ level research projects in an academic lab, Kaggle competitions, or interesting side projects
- Strong programming skills in Python and modern ML frameworks
- Excellent understanding of transformers and LLM fundamentals
- Comfort working across research and engineering boundaries
Skills
- Python
- Modern ML frameworks
- Transformers
- LLM fundamentals
- NVIDIA GPU programming
- CUDA
- DeepSpeed
- FSDL
- Ray
- vLLM
- Spark
- Beam
- Airflow
- MLOps
- Experiment tracking
- DevOps tools
- AWS
- GCP
Location
- Downtown Brooklyn, NYC
Work Type
- In-person
Experience Level
- Junior
Education Level
- B.S. or M.S. in Computer Science or related areas
About the Company
- At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team.