Live opening · Posted 2 days ago

Machine Learning Expert - Remote

ExecutivePlacements.com · New York, United States (Remote)
Linkedin Yes
You are 2 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 2 days ago
CompanyExecutivePlacements.com
LocationNew York, United States (Remote)
Work modeYes
SourceLinkedin
Listed2 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
41 min from Linkedin publishing this role to us finding it
12 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
62,790 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

Job Description
Job Description
Machine Learning Engineer
Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible — choose your preferred hours and days, including weekends.
We are looking for highly skilled Machine Learning Engineers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, performance optimization, and Python-based engineering.
This is a highly coding-intensive role. Candidates must have hands-on experience using Python and coding agents as part of their development workflow.
What You'll Work On
Develop, implement, and validate machine learning models, training pipelines, and inference systems.
Build model components, data pipelines, evaluation frameworks, and numerical methods.
Create reproducible workflows using Python and command-line tools.
Debug numerical, performance, and system-level issues.
Optimize memory usage, throughput, and overall model performance.
Review and validate machine learning implementations against defined correctness and performance requirements.
Required Qualifications
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.
Strong professional or research experience in machine learning.
Advanced practical proficiency in Python and coding agents.
Experience with one or more of the following:
PyTorch
JAX
NumPy / SciPy
SGLang
vLLM
llama.cpp
Hugging Face Transformers
Hugging Face Tokenizers
Equivalent tools may also be considered where candidates demonstrate relevant technical depth.
Experience at a technology company, AI laboratory, research organization, or recognized engineering environment is preferred.
Strong open-source or academic experience may also qualify.
Process
Apply and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.
Compensation
Compensation is output-based, with payment provided per task that meets project specifications. Task completion time may vary depending on experience and workflow. Minimum submission requirements apply.
Start Timeline & Availability
We typically fill roles within 48 hours and are seeking experts who can start immediately. Selected candidates should begin their first task within 24-48 hours of completing onboarding.

Work arrangement
Yes

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App