Senior Machine Learning Engineer, AI Agent

Genies
$200K - $275K/yr

Tech Stack

About the Role

About Genies

Genies develops avatar technology for interactive digital identity through Smart Avatars, enabling developers and creators to deploy game-ready AI companions. Backed by investors including Bob Iger, Silver Lake, BOND, and NEA.

This senior-level role involves end-to-end ownership of research and development for AI avatar chat systems, driving the technical roadmap for intelligence and interactivity across millions of avatars.

Key Responsibilities:

  • Research and implement solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures for multi-modal AI chat products
  • Architect scalable AI features and agentic systems within backend infrastructure
  • Design quantitative benchmarks to evaluate and improve agentic systems
  • Partner with product teams to refine AI systems based on user feedback
  • Transition research outputs into production-ready systems
  • Establish best practices for agent quality assurance, safety, and cost control
  • Fine-tune and train LLM/ML models when necessary
  • Stay current with academic and industry AI research

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related field
  • 2+ years developing agentic systems with LLMs
  • 3+ years building scalable production backend systems in Python, Go, or JavaScript
  • 5+ years machine learning and statistics experience with proven product development
  • Strong communication and product collaboration skills

Preferred Qualifications:

  • Master's degree or Ph.D.
  • Strong product intuition
  • 3+ years developing complex multi-agent systems
  • Comfort in lean, fast-moving environments
  • Publications at top-tier AI/ML conferences (ACL, NeurIPS, ICML, ICLR, AAAI, EMNLP, NAACL)

Salary: $200,000 - $275,000 base salary

Benefits: Competitive salary and equity, comprehensive health/dental/vision insurance, unlimited PTO, parental leave, hybrid work structure (min 4 days in office), monthly wellness reimbursement.

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