Software Engineer III (System/Machine Learning)

Job Title: Software Engineer III (System/Machine Learning)
Location: Remote (EST)
Duration: 12 months
Pay rate: $95/hr on W2
Benefits: PTO, Health, Dental, Vision, 401k program

We are seeking a strong System / Machine Learning Engineer to join our client's Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.
An ideal candidate must have experience of LLM architectures and experience implementing ML pipelines, large-scale distributed GPU training, and LLM finetuning.

You must have knowledge of a wide variety model architectures and his experience with profiling tools and low-level kernel debugging. You must showcased a good knowledge of GPU and distributed systems, as well as acceleration, and provided clear and detailed descriptions of past projects (portfolio).

Job Responsibilities:

• 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 for connecting billions of users.
• 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.
• 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

Qualifications:

• Degree in Computer Science, Computer Engineering or relevant technical field
• At least 5 years experience with deep learning
• Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++
• Experience in open-source development

Must Haves:

• Pytorch, Machine Learning, Python
• Must share Portfolio of past projects
• Experience building an Open Source Libraries for Machine Learning
• Experience in Distributed training for ML models
• Experience with Machine Learning Research, publishing papers
• Experience with Python backends and APIs
• Experience in software design and development

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.

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