Job Title : Systems / ML Engineer Location: Remote(Ideally EST, but anywhere in NORAM should work.) Contract : 1 year, possibility for extension. Pay Rate : $100.97/hr,W2 Benefits : Medical, Dental, Vision and Weekly pay

Job Description:

Big Tech Giant is seeking a strong System / 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 ** 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 Minimum Qualifications: Degree in Computer Science, Computer Engineering or relevant technical field 5-10 years experience with deep learning Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C Preferred Qualifications Demonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience in open-source development Must Have Skills: Pytorch Machine Learning Python Nice to Have: Building Open Source Libraries for Machine Learning Distributed training for ML models Experience with Machine Learning Research, publishing papers Experience with python backends and APIs Experience in software design and development Interviews: 1-2 Rounds Mostly technical: experience with distributed training. How DDP/FSDP works, what are different parallelism techniques to scale models, what are their tradeoffs, which one would you use in which case, some back of the envelope calculation of memory/throughput requirements, so on.

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