Machine Learning Engineer

RunSybil

$120K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience working with security data problems
  • 4+ years of experience designing experiments and managing data infrastructure
  • Understanding of both modern and classic machine learning techniques
  • Comfort with Jupyter notebooks and building data pipelines
  • Strong bias for building product-informing experiments over published works

Responsibilities

  • Propose and implement technical initiatives based on product roadmap needs
  • Lead technical design discussions and provide feedback on engineering approaches
  • Translate ambiguous technical challenges into actionable plans
  • Execute plans in collaboration with the team
  • Uphold exemplary standards for code quality and practices

Benefits

  • Hybrid work structure allowing flexibility and work-life balance
  • Opportunity to join a fast-moving team focused on meaningful contributions to security industry
  • Possibility for travel, enriching professional experience
  • Encouragement of autonomy and creative problem-solving in a dynamic environment
Full Job Description
About this Role

We are seeking talented engineers intent on changing the security industry. If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you.

What You'll Do:
  • Propose and implement technical initiatives based on product roadmap needs
  • Lead technical design discussions, contribute to team decisions, and provide feedback on engineering approaches
  • Translate ambiguous technical challenges into actionable plans, and execute them in collaboration with the team
  • Serve as the cornerstone of our engineering culture by setting and upholding exemplary standards for code quality, practices, and craftsmanship

We're looking for someone who brings:
  • Experience working with security data problems
  • MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published works
  • 4+ years of experience designing experiments and managing data infrastructure
  • Understanding of both modern and classic machine learning techniques
  • Equally comfortable with Jupyter notebooks and building data pipelines
  • Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environment

Location: Hybrid role based in New York City. Some travel may be required.

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