Machine Learning Engineer

Company: Hiretual
Location: Mountain View, California, United States
Type: Full-time
Posted: 08.JUN.2021
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Summary

Hiretual is an AI-powered talent data system for enterprises. It has been recognized as one of the best data management SaaS for talent acqu...

Description

Hiretual is an AI-powered talent data system for enterprises. It has been recognized as one of the best data management SaaS for talent acquisition in the market and trusted by 100+ Fortune 500 customers(Amazon, Nike, Paypal, Intel, etc.)

As a machine learning engineer, you will join the core engineering team to develop the algorithm, framework, and product intelligence towards an AI and data-driven SaaS. You will be working with top AI researchers and infrastructure gurus to explore unlimited career space.

Resonsibilities

  • Develop highly scalable tools leveraging machine learning models to solve problems such as classification, clustering, topic modeling, natural language processing and recommendation
  • Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models
  • Collaborate with Data Engineers to prototype new algorithms and design experiments for evaluation to enhance the marketing efficiency
  • Work with engineering teams to implement new models while considering functionality for recommendation output
  • Take end to end ownership of Machine Learning systems - from data pipelines and training, to real-time prediction engines
  • Contribute to a culture of continuous improvement, and data driven results


Requirements

You must have
  • A Ph.D. or Master degree in computer science, math, physics, or related majors, with 2 years + full-time industry experience
  • Developed and launched AI product

It would be best if you were an expert at one of the following
  • Knowledge discovery and information retrieval entity recognition, relation extraction, and knowledge learning from unstructured data
  • Machine learning-powered recommendation systems and ranking algorithms content-based recommendation, collaborative filtering, etc.
  • Natural Language Processing (NLP) deep learning and statistical learning
  • Deep Graph Learning


Benefits
  • Unlimited growth/promotion space
  • Competitive salary and options
  • 401k plan with a 3% contribution
  • Free daily lunch & dinner
  • Comprehensive medical, dental, and life insurance with 100% coverage
  • Generous PTO policy
  • Commuter benefits
  • Mac or PC - up to you

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