Founding Research ML Engineer

Greylock Partners; Redwood City (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

A pioneering investment firm in California is seeking a Founding Research to develop core ML pipelines for novel cybersecurity solutions. The ideal candidate will possess a strong Machine Learning background, particularly with large-scale models, and experience in data telemetry. This role offers full-time employment at a mid-senior level, focusing on collaborations across diverse teams to enhance security solutions.

Qualifications

• 4+ years industry experience in Machine Learning and cybersecurity.
• 1+ years working with large-scale LLMs in production.
• Previous publication history related to security is ideal.
• Previous publication history related to this domain would be ideal

Responsibilities

• Design data collection and telemetry systems for security data.
• Research methods for threat detection and anomaly analysis.
• Collaborate with teams to ensure telemetry pipelines are secure.
• Translate research insights into production-ready systems.

Skills

Machine Learning

Cybersecurity

Data Telemetry

Collaboration

Education

Advanced degree in Computer Science

Job description

2 days ago Be among the first 25 applicants

Early-stage, cybersecurity investment (valued over $100M at Seed), founded by a successful serial entrepreneur, is looking to hire a Founding Research with a strong background in Machine Learning (LLM), cybersecurity (ideally, exposure to endpoint solutions), and data telemetry

Summary:

Help architect the core ML pipelines and codebase for an industry-first solution in security. Our ideal candidate will be able to take research-grade ML experiments and ensure they can be run in a stable and repeatable manner in the enterprise.

Key Qualifications:

• Advanced degree in CS (or a related field) with 4+ years industry experience and 1+ years working with LLM's in a large-scale production environment
• Prior experience with a zero-to-one
• Proven ability to collaborate across different teams and adapt to new fields
• Previous publication history related to this domain would be ideal

Responsibilities:

• Design and implement data collection and telemetry systems that capture, process, and analyze large-scale security or operational data streams in real time
• Research and develop novel methods for threat detection, anomaly analysis, and behavioral modeling using statistical, ML, or signal-processing techniques
• Collaborate with infrastructure and data teams to ensure telemetry pipelines are secure, performant, and privacy-preserving across distributed environments
• Translate research insights into production-ready systems, validating results through experimentation, benchmarking, and continuous monitoring

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development, Computers and Electronics Manufacturing, and IT Services and IT Consulting