Tech Lead, Machine Learning

Company: Intelletec
Location: San Francisco, California, United States
Type: Full-time
Posted: 16.MAY.2021

Summary

Tech Lead, Machine Learning Intelletec has partnered with a recently created technology development group. They are looking for a Tech Lead...

Description

Tech Lead, Machine Learning

Intelletec has partnered with a recently created technology development group. They are looking for a Tech Lead (Machine Learning), focused on using state-of-the-art Machine Learning, NLP, AI, and related technologies.

You will be a Data Science leader who can establish and lead the ML evaluation team, this role reports directly to the Head of Data.

Responsibilities:

  • Build, lead and develop a team of data scientists in a fast-moving and quickly growing organization
  • Collaborate with technology, engineering, and other data science team leaders to define the success of machine learning software development lifecycle
  • Define, Collect, curate, and own overall ML evaluation datasets, methodology, process, and frameworks, covering ASR, Dialog, NLU models, and systems.
  • Employ data mining and statistical techniques to tackle diverse and large-scale ML data challenges.
  • Provide cross-functional teams and leadership with regular updates and strategic guidance regarding ML model quality through evaluation test framework

Qualifications:

  • Bachelor's in Computer Science, Mathematics, Statistics or a related quantitative field
  • 5+ years of experience in data science with proven experience leading a team of Data Scientists
  • 3+ years of Python experience working with big data
  • Strong understanding of high-performance algorithms, and data mining
  • Experience in developing state-of-the-art data science techniques for large-scale machine learning products
  • Strong understanding of ML data pipelines from defining, collecting to curating ground truth and evaluation data sets for ML models
  • Demonstrated ability to facilitate and coordinate complex data design and development activities across teams in agile sprints with minimal direction
  • Experience with NLP/NLU is preferred

On offer:

  • Competitive base pay and bonus
  • Equity
  • Summer hours
  • Sabbatical program

 
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