

EPITEC
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a 1-year W2 contract, remote work in New York, and a pay rate of $110-120/hour. Requires 5+ years in deep learning, Python/C++, and experience with PyTorch and distributed ML training.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
October 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#ML (Machine Learning) #Python #Libraries #Datasets #PyTorch #Data Pipeline #Deep Learning #Computer Science #AI (Artificial Intelligence) #C++ #GitHub #Scala
Role description
Job Title: Senior Machine Learning Engineer
Contract Duration: W2, 1-year, possible extension
Location: New York, NY
Work Arrangement: Remote
Pay Range: $110-120/hour w/ 3 weeks of PTO and med/den insurance contribution
•
•
• Note: No C2C or C2H arrangements possible
Summary
We are seeking a strong Senior Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI
Responsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Responsibilities
• Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research
• Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
• Write clean and robust machine learning code
• Contribute to open-source projects
Minimum Qualifications
• Degree in Computer Science, Computer Engineering or relevant technical field
• 5+ years experience with deep learning
• Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++
• Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP
• Experience working with large datasets and data pipelines
• Solid understanding of algorithms, data structures, and software engineering best practices.
• Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment.
• Excellent problem-solving and communication skills.
Preferred Qualifications
• Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
• Prior contributions to open-source AI/ML projects
Must Have Skills
• 8+ years of Software Engineering experience
• 5-10 years of Python experience
• 3-5 years of Pytorch experience
• 5+ years of Distributed ML Training (FSDP/DDP) experience
• 3-5 years of Dataset / Pytorch DataLoader experience
Nice to Have Skills
• Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
• Prior contributions to open-source AI/ML projects
Job Title: Senior Machine Learning Engineer
Contract Duration: W2, 1-year, possible extension
Location: New York, NY
Work Arrangement: Remote
Pay Range: $110-120/hour w/ 3 weeks of PTO and med/den insurance contribution
•
•
• Note: No C2C or C2H arrangements possible
Summary
We are seeking a strong Senior Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI
Responsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Responsibilities
• Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research
• Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
• Write clean and robust machine learning code
• Contribute to open-source projects
Minimum Qualifications
• Degree in Computer Science, Computer Engineering or relevant technical field
• 5+ years experience with deep learning
• Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++
• Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP
• Experience working with large datasets and data pipelines
• Solid understanding of algorithms, data structures, and software engineering best practices.
• Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment.
• Excellent problem-solving and communication skills.
Preferred Qualifications
• Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
• Prior contributions to open-source AI/ML projects
Must Have Skills
• 8+ years of Software Engineering experience
• 5-10 years of Python experience
• 3-5 years of Pytorch experience
• 5+ years of Distributed ML Training (FSDP/DDP) experience
• 3-5 years of Dataset / Pytorch DataLoader experience
Nice to Have Skills
• Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
• Prior contributions to open-source AI/ML projects