SGS_JOB_2874
Contract - 12 Months
ML Systems Engineer III We are seeking a strong ML Systems Engineer to join our Fundamental AI Research 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 client's 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. Years of Experience: 5+ years Degrees Required: Bachelors degree in Computer Science, Computer Engineering or relevant technical field How will performance be measured? - Completion and quality of engineering tasks. Candidate Value Proposition: This is working on cutting-edge Machine Learning training and inference code to create State of the Art research models. It’s working with leading researchers in the field. Cutting edge distributed training for creating state of the art ML models. Candidate Disqualifiers: Pure software engineers will not be a good fit. Experience with Large scale Model training with Pytorch is essential. Difficult Aspects of Job: Strong technical and communication skills will be needed to succeed in a fast-paced and ambiguous environment. Interview Process: 1-2 rounds (1 hour) We’ll setup a pool of interviewers to process the queue quickly. 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.
Client is seeking a strong Python/ML Systems Engineer to join our team, an organization focused on making research breakthroughs in AI. Responsibilities include developing and maintaining deep learning libraries that support large-scale distributed training, open sourcing high quality code, creating documentation, supporting the community to onboard and effectively leverage the solutions built by the team, 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.
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