Senior Machine Learning Engineer

Tailored Management • Contract • Remote (New York, New York State, United States) • $110 / hour • 9h ago

Senior Machine Learning Engineer
Location: Fully Remote (prefer EST)
Contract Duration: 12 Months
Pay rate: $110/hr on W2
Benefits: PTO, Health, Dental, Vision, 401K

Our client is seeking for a strong Senior Machine Learning Engineer to join their 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 Meta products for connecting billions of users.

The ideal 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

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.

Must Haves:

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:

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

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