Research Scientist, Machine Learning (PhD)

$117,000 - $173,000/Yr

Meta - San Francisco, CA

Full-time - Entry Level

San Francisco, CA

5,001-10,000 employees

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About the position

As a Research Scientist in Machine Learning at Meta, you will play a pivotal role in advancing the company's machine learning capabilities. This position involves working on innovative projects that leverage large-scale data to develop scalable models for recommendation, classification, and optimization problems. You will collaborate with top engineers and researchers to tackle complex social data challenges, driving excellence across teams and owning the entire machine learning life-cycle.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
• Suggest, collect and synthesize requirements and create effective feature roadmap.
• Build strong cross-functional partnerships and code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Perform specific responsibilities which vary by team.

Requirements

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field.
• Experience programming in a relevant programming language.
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence.
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
• Proven experience to translate insights into business recommendations.
• Experience with scripting languages such as Python, Javascript or Hack.
• Experience building and shipping high quality work and achieving high reliability.
• Experience in systems software or algorithms.

Nice-to-haves

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub).
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Interpersonal experience working and communicating cross functionally in a team environment.
• Exposure to architectural patterns of large scale software applications.

Benefits

• Competitive hourly wage of $56.25
• Bonus opportunities
• Equity options
• Comprehensive benefits package