Tailored Management

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer III, remote for 1 year at $119.76/hr. Requires 5+ years in deep learning, Python, PyTorch, and distributed ML training. Strong coding and collaboration skills essential; open-source contributions preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
952
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πŸ—“οΈ - Date
December 2, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Data Pipeline #Scala #Datasets #Libraries #Deep Learning #PyTorch #Python #GitHub #Computer Science
Role description
Job Title: Senior Machine Learning Engineer III Location: Remote role, ideally EST, buy anywhere in NORAM works. Pay Rate: $119.76/hr, W2 Contract: 1 year, possibility for extension Benefits: Medical, Dental, Vision and Weekly Pay Job Summary: Big Tech Giant is 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 β€’ β€’ β€’ 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: β€’ Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research β€’ Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects β€’ Write clean and robust machine learning code β€’ Contribute to open-source projects Minimum Qualifications: β€’ Degree in Computer Science, Computer Engineering or relevant technical field β€’ 5+ years experience with deep learning β€’ Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C β€’ Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP β€’ Experience working with large datasets and data pipelines β€’ Solid understanding of algorithms, data structures, and software engineering best practices. β€’ Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment. β€’ Excellent problem-solving and communication skills. Preferred Qualifications: β€’ Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub) β€’ Prior contributions to open-source AI/ML projects Must Have Skills: β€’ 5-10 years of Python experience β€’ 3-5 years of Pytorch experience β€’ 5+ years of Distributed ML Training (FSDP/DDP) experience β€’ 3-5 years of Dataset / Pytorch DataLoader experience Nice to Have Skills: β€’ Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub) β€’ Prior contributions to open-source AI/ML projects Education: Computer Science / Engineering Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN