Research Engineer - Novel AI Platforms for Multiscale Alignment

5 months, 2 weeks ago
Full-time
Senior
Software Development
Bluesky

Bluesky

Bluesky is a social media platform that offers a unique and interactive experience for users to connect, create, and have fun. JavaScript is required for its heavily interactive web application.

Internet Software & Services
Founded 2021

Description

  • Research and develop AI systems and platforms for safety research, internal tooling, and community support.
  • Design and implement architectures for agent execution environments and interaction platforms.
  • Develop optimization algorithms for multi-objective and cooperative AI systems.
  • Create mechanisms for conflict resolution and preference aggregation in multi-agent settings.
  • Implement testing frameworks and example environments to validate theoretical approaches.
  • Build middleware components that enable secure and efficient agent communication.
  • Architect and develop reusable software components for AI alignment research.
  • Document system architectures, APIs, and implementation details.
  • Collaborate on technical publications and research presentations.
  • Support the evaluation and refinement of research prototypes.

Requirements

  • MS or PhD in Computer Science, AI, or a related field, or equivalent experience.
  • Experience with one or more of: dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms.
  • Strong programming skills in both Python and Java.
  • Demonstrated ability to drive technical projects from concept to implementation with limited supervision.
  • Familiarity with AI alignment, control, safety, or related research areas.
  • Experience developing middleware, frameworks, or platforms.
  • Breadth of experience in machine learning and AI systems architecture.
  • Literate in semi-formal semantics.
  • Excellent communication skills and technical documentation abilities.
  • Preferred: publications in AI alignment, AI safety, or related research areas.
  • Preferred: familiarity with multi-objective optimization techniques, contextual pragmatics, constraint satisfaction problems, distributed systems, security and privacy methods for multi-party computation, game theory, social choice theory, metacognitive systems, metareasoning, or dynamical cognitive approaches.
  • Preferred: experience with LLMs and integrating them into agent architectures.
  • Preferred: demonstrated open source project contributions.
  • Preferred: experience building systems that actively manage trade-offs between competing objectives.

Benefits

  • $140,000 - $210,000 annual salary for U.S.-based employees.
  • Good benefits for U.S.-based employees.
  • Remote work arrangement.
  • Open globally, with U.S.-based employees hired as employees and candidates outside the U.S. engaged as independent contractors.
  • Opportunity to work on cutting-edge AI alignment and safety research with practical impact.

Interested in this position?

Apply directly on the company website

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