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Machine Learning Engineer (Junior)

Pangram LabsNew York CityResearch
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Salary
$135K - $150K USD
Job type
Full-time
Posted
17 Aug 2026
Status
Open · checked 7d ago

About this role

Pangram Labs is looking for a Junior Machine Learning Engineer to join the team in New York City. This full-time, in-person position involves supporting the entire machine learning lifecycle, from data generation and training to deployment and monitoring.

Role Overview

The Junior Machine Learning Engineer position at Pangram Labs offers an opportunity to build software that drives the machine learning development cycle in real customer environments. Team members participate actively in research efforts, contribute original ideas, and have the chance to publish research findings without needing prior formal research experience. The role is based out of the company office located in Downtown Brooklyn, NYC.

Key Responsibilities

Construct robust data pipelines capable of mining the internet at scale to produce millions of synthetic text examples for training detection models.
Oversee distributed infrastructure designed for multi-GPU large language model training.
Profile and optimize both training and inference codebases.
Implement and deploy efficient inference pipelines to serve large language models at scale.

Requirements

Hold a Bachelor of Science or Master of Science degree in Computer Science or a related technical discipline.
Demonstrate practical deep learning experience through internships, academic lab research projects, Kaggle competitions, or relevant side projects.
Possess strong programming abilities using Python alongside modern machine learning frameworks.
Show an excellent grasp of transformers and foundational large language model concepts.
Maintain comfort working smoothly across the boundaries of research and engineering.

Nice to Have

Background in NVIDIA GPU programming and CUDA.
Familiarity with distributed training frameworks including DeepSpeed, FSDL, and Ray.
Exposure to inference frameworks such as vLLM.
Experience handling large-scale data processing tools like Spark and Beam, alongside orchestration via Airflow.
Knowledge of MLOps, experiment tracking, and DevOps tools.
Previous interaction with cloud computing infrastructure on AWS or GCP.

Skills and Tools

Python
AWS and GCP
Spark and Airflow
Large Language Models (LLMs)
MLOps

Salary and Benefits

Annual salary range of $135,000 to $150,000 USD.

About the Company

Pangram Labs builds advanced machine learning technologies, focusing on cutting-edge developments in large language models, detection systems, and scalable data generation.

How to Apply

Interested candidates should visit the official Pangram Labs careers page to submit an application for this position.

Skills and tech stack

Questions candidates ask

Is this position remote or in-person?

This is strictly an in-person role located in the company office in Downtown Brooklyn, New York City.

What is the salary range for this junior machine learning role?

The annual salary for this position ranges from $135,000 to $150,000 USD.

Is formal research experience required to apply?

No, formal research experience is not necessary, though practical deep learning experience through projects, internships, or competitions is required.

What educational background is expected?

Applicants must hold a B.S. or M.S. degree in Computer Science or related fields.

How do I apply for the Junior Machine Learning Engineer job?

Candidates should visit the official Pangram Labs careers page to apply.

Ready to apply?

The application is on the official Pangram Labs careers page.

Apply on company site