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Job Requirements of Software Engineer V (ML Engineer):
-
Employment Type:
Full-Time
-
Location:
New York, NY (Onsite)
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Software Engineer V (ML Engineer)
Tailored Management Services Inc
New York, NY (Onsite)
Full-Time
Job Title: Software Engineer V (ML 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:
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
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
- 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.
- 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
- 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
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