Senior ML Systems Engineer

SGS_JOB_2874

Engineering
Remote
Python
PyTorch
Distributed ML Training
FSDP / DDP
PyTorch DataLoader
OSS

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.

Job 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
  • Create documentation and support users in ramping and getting productive with the libraries and tools built by the team.

Skills:

  • 5+ years of Python experience
  • 2+ years of Pytorch experience
  • 0-2 years of Distributed ML Training (FSDP/DDP) experience
  • 5+ years of Dataset / Pytorch DataLoader experience
  • 3+ years of OSS 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

Education/Experience:

  • 2+ years of experience with deep learning
  • 2+ years of experience developing machine learning algorithms in Python or C/C++
  • Experience with machine learning frameworks such as PyTorch or Tensorflow
  • 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.

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