Staff ML Engineer

2 weeks ago


New York, United States Jobot Full time

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$10B Venture Capital firm specialized in AI & Web3 is hiring for a Senior ML Engineer

This Jobot Job is hosted by: Sydney Weaver
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000 - $300,000 per year

A bit about us:

Backed by several FAANG executives, $10B Venture Capital firm is hiring for a Sr - Staff level ML Engineer They are a deep tech management company with in-house startups +funds and currently focused on four primary verticals, including disruptive finance/web3, AI, synthetic bio, and physical sciences (including quantum, chips, and energy). They are looking for an experienced senior machine learning engineer to help scale their VC team

In this role you will build models that find patterns of successful entrepreneurs and predict the success of pre-seed startups based on their Twitter, LinkedIn, & general social media presence. You will have a direct impact on which startups they incubate and the future of Web3. This work will be foundational in building a groundbreaking new platform. They have an incredibly high bar and you'll be joining a highly talented and driven team.

Why join us?

Benefits:

  • Medical, Vision, Dental, 401k with match
  • Highly competitive base salary
  • Equity package
  • 100% Remote. Also have offices in LA, SF, & NYC
  • Awesome team
  • Opportunity to work with up and coming startups and long term growth


Job Details

Responsibilities:
  • Utilize Twitter and Linkedin APIs to develop models for identifying investment opportunities based on a range of qualifying criteria
  • Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests
  • Understand and leverage crowdsourcing and human computation approaches to data labeling
  • Write and interpret complex SQL queries for standard as well as ad hoc data mining purposes

Requirements:
  • 6-8+ YOE in ML or DS in a production professional setting
  • MS or PhD in computer science, data mining, machine learning, statistics, math, engineering, operations Research, or other quantitative discipline
  • Fluent in one or more object oriented languages like Golang, Scala, Java, Rust, C++
  • Experience with scripting languages like Python or Ruby, etc
  • Experience with feature engineering and model building
  • Experience with statistical programming environments like R or Matlab
  • Experience in mapping business needs to engineering systems
  • Experience building and analyzing models pulling information from Social Media such as LinkedIn, Twitter, FaceBook, YouTube, GitHub, & other channels.


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Staff ML Engineer - Web3 Venture Capital
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