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Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Robust Intelligence

Robust Intelligence

51-200 employees

AI risk management platform for enterprises

Hardware
Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$150k - $175kAnnually

+ Equity

Entry, Junior

Oakland, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Go
Requirements
  • A BS or MS in Computer Science/Engineering.
  • A strong background in AI, machine learning, and deep learning.
  • An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.
  • Strong programming skills in generic programming languages such as Python or Golang.
  • Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Responsibilities
  • Track and identify AI security risks, experiment with latest ML techniques to build SoTA protections.
  • Be hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productizing protection mechanisms.
  • Work with Senior Engineers to understand with latest GenAI research and applications that lead to novel security risk.
  • Participate in red-teaming assessments to help uncover threats, to gather context and collect data used to solidify our products.
  • You'll have the opportunity to contribute to our overall machine learning culture as a member of the team.

Robust Intelligence focuses on managing risks associated with artificial intelligence for enterprises. Their main product is a platform that provides real-time protection for AI models, identifying potential risks throughout the AI lifecycle. This is accomplished through continuous validation, which includes numerous tests to ensure model behavior is secure and to uncover hidden vulnerabilities. The platform supports various AI modalities, including Generative AI, and helps businesses comply with major AI regulations and guidelines. Unlike competitors, Robust Intelligence not only offers a comprehensive risk management solution but also collaborates with MITRE ATLAS to provide an open-source AI Risk Database aimed at addressing supply chain risks in third-party models. Their goal is to empower enterprises to harness the full potential of AI while managing risks effectively and securely.

Company Stage

Series B

Total Funding

$44M

Headquarters

Bengaluru, India

Founded

2019

Growth & Insights
Headcount

6 month growth

1%

1 year growth

11%

2 year growth

22%
Simplify Jobs

Simplify's Take

What believers are saying

  • Strategic partnerships with industry leaders like Pinecone, Databricks, and MongoDB enhance the platform's capabilities and market reach.
  • The company's proactive approach to AI security, including the ability to jailbreak sophisticated models, positions it as a leader in identifying and mitigating AI vulnerabilities.
  • Robust Intelligence's involvement in government safety consortiums and industry standard-setting initiatives underscores its commitment to ethical AI deployment and regulatory compliance.

What critics are saying

  • The rapidly evolving AI landscape requires continuous innovation, which could strain resources and impact long-term sustainability.
  • High-profile security breaches, such as bypassing Google's Gemini security filters, could lead to reputational risks and client trust issues.

What makes Robust Intelligence unique

  • Robust Intelligence's focus on real-time AI risk management and continuous validation sets it apart from competitors who may not offer such comprehensive, proactive security measures.
  • Their open-source AI Risk Database, developed in partnership with MITRE ATLAS, provides a unique resource for tackling supply chain risks in third-party models.
  • The company's ability to support all major AI modalities, including Generative AI, ensures broad applicability and compliance with major AI regulations, making it a versatile tool for enterprises.