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Facebook Software Engineer Machine Learning 
India, Karnataka, Bengaluru 
395497380

17.04.2025
Software Engineer, Machine Learning Responsibilities
  • Leading projects or small teams of people to help them unblock, advocating for ML best practices
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • Suggest, collect and synthesize requirements and create effective feature roadmaps
  • Code deliverables in tandem with the engineering team
Minimum Qualifications
  • 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience building and shipping high quality work and achieving high reliability
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Successful candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location.
Preferred Qualifications
  • Masters degree or PhD in Computer Science or another ML-related field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TensorFlow
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