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Machine Learning Engineer

Runsybil

New YorkHybrid11mo ago
Employment
Full-time

About the role

  • 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
  • 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
  • Competitive Salary: Attractive startup compensation package with equity options
  • Benefits: Excellent medical, dental, and vision plans. Unlimited PTO
  • Growth Opportunities and Early Impact: Work directly with and learn from industry leaders while driving significant impact in our fast-growing security startup

Perks & benefits

  • 401k
  • Vision Insurance
  • Medical Insurance
  • Unlimited Vacation
  • Paid Time Off
  • Equity Compensation

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