Pangram Labs

Machine Learning Engineer (Junior) at Pangram Labs (New York, NY)

Pangram Labs· New York, NY· $135k–$150k·

Role details

Salary
$135k–$150k
Work type
Onsite
Employment
Full-Time
Equity
Yes

Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. 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. 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

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)

Why work at Pangram Labs

  • Founding team from top AI labs: Work alongside former Tesla Autopilot, Google, Nuro, and Absci researchers — a steep learning environment.
  • Mission-driven: Directly tackling one of the most pressing problems of the generative AI era — content authenticity and trust.
  • Fast-growing startup: 162.5% headcount growth in the last year, with 7 active job openings across engineering, ML, research, and operations.
  • Research culture: Active publication and peer-reviewed research; engineers and researchers contribute to the broader AI community.
  • Office location: Based in Brooklyn, New York (likely hybrid/office-first culture given startup stage).
  • Open roles include: Senior Software Engineer (Backend), Machine Learning Engineer, AI Research Scientist, Full-Stack Engineer, and Executive Assistant — indicating a broad, growing team.

Application questions