Chakra Machine Learning Engineer

New

Skills

Constitutional AI Conversational AI Data Pipelines Dialogue Systems Evaluation Pipelines Latency Optimization Machine Learning Model Serving Reinforcement Learning from Human Feedback (RLHF) User Experience (UX) Design

We are seeking a Machine Learning Engineer to architect and develop the Chakra system end-to-end. This role involves designing agent systems, ensuring interview consistency, and creating evaluation pipelines to enhance user experience and quality.

Key Responsibilities
  • Architect the Chakra system from design to report generation.
  • Build systems to ensure interview consistency at scale.
  • Design evaluation and benchmarking pipelines for quality and user experience.
  • Develop fine-tuning and RLHF workflows to enhance model judgment.
  • Define and uphold the quality bar for interviews.
  • Work across the full stack, including data pipelines, model serving, latency, and UX.
  • Build and deploy agentic/conversational AI in a production environment.
  • Utilize strong intuition for LLM behavior in real-world conditions.
  • Think in systems regarding architecture, evaluation, serving, and user experience.
  • Focus on quality and user impact.
Required Skills & Qualifications
  • Experience with RLHF, Constitutional AI, or preference-based fine-tuning.
  • Background in dialogue systems or rubric-based scoring.
  • Strong analytical and problem-solving skills.
  • Proficiency in building data pipelines and model serving.
  • Ability to work collaboratively in a remote environment.
  • Experience with agentic AI models and conversational interfaces.
  • Familiarity with user experience design principles.
  • Understanding of model latency and optimization techniques.
  • Strong communication skills for cross-functional teamwork.
  • Commitment to maintaining high-quality standards in AI applications.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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