Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 10, 2026.
About Pangram Labs
Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives.
We are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York.
About the Role
Pangram Labs is hiring strong Machine Learning Engineers at all levels to join our team. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
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. However, formal research experience is not necessary.
This is an in-person role in our office in Downtown Brooklyn, NYC.
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
Profiling and optimizing training and inference code
Deploy efficient inference pipelines for serving LLMs at scale
Requirements:
B.S./M.S. in Computer Science or related areas
Strong programming skills in Python and modern ML frameworks
Excellent understanding of transformers and LLM fundamentals
Comfort working across research and engineering boundaries
Nice to have
Experience with NVIDIA GPU programming and CUDA
Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
Experience with inference frameworks like vLLM
Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
Experience with MLOps and experiment tracking
Experience with DevOps tools
Familiarity with cloud-based infrastructure (AWS/GCP)
About the Team
We are a small, tight-knit team of researchers and engineers who care deeply about our work and each other. We believe that a small group of highly talented, empowered, and efficient people can outperform teams many times their size. Everyone on the team has meaningful ownership over the technical and strategic direction of the company.
Pangram is primarily an in-person company. We are high-touch, high-energy, and extremely collaborative by nature and choose to spend time together to do our best thinking and innovation.