ML Engineer – Training and Finetuning

SGS_JOB_1773

Engineering
Remote
Python
Pytorch
C++
Finetune
Training
Distributed Systems

Contract - 12 Months

Seeking a strong System / Machine Learning Engineer to join, an organization focused on making research breakthroughs in AI. Responsibilities includes 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 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.

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

Skills:

  • 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
  •              Pytorch
  •              Machine Learning
  •              Python
  •        Distributed training for ML models
  •        Building Open Source Libraries for Machine Learning
  •        Experience with Machine Learning Research, publishing papers

Education/Experience:

  • 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++
  • Preferred Qualifications
  • Demonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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