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Remote Deep Learning Research Jobs in Colorado (NOW HIRING)

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

Proven track record of taking ML projects from research/prototype to high-scale production ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

The ideal candidate will combine deep technical expertise with practical software development ... Research, prototype, and deploy innovative solutions leveraging machine learning and computer ...

Senior ML Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

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Remote Deep Learning Research information

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AI Red Team Cybersecurity (SME) - Remote

AI Red Team Cybersecurity (SME) - Remote

micro1 AI

Denver, CO • Remote

$50 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.