Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer
Brooklyn · New York City, New York, United States
Open 5 months, first seen by us 160 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
As a Machine Learning Engineer at Pangram Labs, 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 also highly involved in our research effort - in publishing research and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is a full-time, on-site role in our Brooklyn office reporting to our CTO. What You'll Do
Employment type: Full-time
From the employer’s posting- Team
Research — team source
Department: Research
From the employer’s posting
What you’ll work on
Full postingAs a Machine Learning Engineer at Pangram Labs, 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.
This is a full-time, on-site role in our Brooklyn office reporting to our CTO.
Build data pipelines that mine the Internet and generate synthetic text training data
Manage distributed infrastructure for multi-GPU LLM training
Profile and optimize training and inference code
Deploy efficient inference pipelines for serving LLMs at scale
From the employer’s posting
As a Machine Learning Engineer at Pangram Labs, 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 also highly involved in our research effort - in publishing research and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary.
This is a full-time, on-site role in our Brooklyn office reporting to our CTO.
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
What you’ll bring
All qualificationsCore experience
- B.S. or M.S. in Computer Science or related field
- Strong Python programming and modern ML frameworks
- Solid understanding of transformers and LLM fundamentals
- Comfort working across research and engineering boundaries
Qualification wording
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
About Pangram Labs
We build the world’s best AI detection systems.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026160 days ago
- Recorded sightings
- 68
- Last seen by us
- Nov 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 160
Up longer than most. Similar jobs usually come down between day 7 and day 72.
From 4,777 similar postings that came down. Coming down is not always a hire.
Pangram Labs is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- GCP
- Spark
- Airflow
Where the posting names them
- 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
- Experience with DevOps tools - Familiarity with cloud-based infrastructure (AWS/GCP)
- Experience with inference frameworks like vLLM - Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow) - Experience with MLOps and experiment tracking
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
A Note on applying to Pangram:
At Pangram, we firmly believe that genuine human expression, and our ability to communicate with each other online and through the written word, is a fundamental right- and a value worth preserving.
Please don't use AI to answer any of the questions as part of your application - we want to hear from you!
About Pangram Labs
Pangram Labs’ mission is to protect authenticity and preserve human connection in the context of the generative AI era. We build 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 provide tools for individuals, institutions and companies to detect the use of AI in written content.
Pangram is a recognized thought leader in the space of AI detection. Our CEO & Co-founder Max Spero has been named as one of Time Magazine’s 100 Most Influential People in AI and Pangram has been named one of Time’s Best Inventions of 2026.
We are looking for high agency, mission-driven, and passionate builders to join our team!
About the Role
As a Machine Learning Engineer at Pangram Labs, 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 also highly involved in our research effort - in publishing research and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary.
This is a full-time, on-site role in our Brooklyn office reporting to our CTO.
What You'll 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
Profiling and optimizing training and inference code
Deploy efficient inference pipelines for serving LLMs at scale
Qualifications
You are a great candidate for this role if you have:
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
You are an exceptional candidate for this role if you also 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)
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York City, New York, United States
As a Machine Learning Engineer at Pangram Labs, 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 also highly involved in our research effort - in publishing research and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is a full-time, on-site role in our Brooklyn office reporting to our CTO. What You'll Do
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.