Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona.
We are seeking a highly motivated and passionate Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars.
By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact.
What You'll Do
▸ Research and implement state-of-the-art AI solutions. You'll apply foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures — alongside classical ML techniques — to power a multimodal AI avatar product.
▸ Architect and deliver scalable agentic systems. You'll design and implement AI features within our backend, building agent infrastructure that is reliable, extensible, and ready for production scale.
▸ Translate research into production. You'll work closely with AI researchers to seamlessly bridge the gap between experimental outputs and robust, maintainable backend systems — keeping quality high at both ends of the pipeline.
▸ Partner with Product on what actually ships. You'll collaborate directly with the product team to iterate on AI systems based on user feedback and engagement metrics, shaping features that users feel.
▸ Design and execute rigorous evaluation frameworks. You'll build quantitative benchmarks to continuously measure and improve agentic system quality — defining what 'good' looks like for avatar intelligence at Genies.
▸ Own AI quality, safety, and cost. You'll define, implement, and enforce best practices for agent quality assurance, safety guardrails, and inference cost control — critical disciplines for a production AI system at scale.
▸ Fine-tine and train models when off-the-shelf falls short. You'll identify gaps in existing foundation models and lead fine-tuning or training efforts to close them.
▸ Stay at the frontier. You'll actively track academic and industry research in LLMs and AI agents, prototype novel techniques, and bring what's relevant into the team's technology stack.
What You Bring
▸ Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
▸ 2+ years of hands-on experience building agentic systems with Large Language Models (LLMs).
▸ 3+ years building scalable, production-grade backend systems in Python (Go or JavaScript also welcome).
▸ 5+ years of experience in machine learning and statistics, with a track record of shipping products that leverage LLMs, ML, CV, or NLP models.
▸ Strong communication skills and demonstrated experience collaborating directly with product teams to design and elevate AI-driven features.
▸ A proactive approach to learning — you follow emerging AI research and bring what matters back to the team.
Bonus Points
▸ Experience with knowledge graphs, retrieval-augmented generation, or multi-agent coordination frameworks.
▸ Background in 3D animation, motion synthesis, or avatar/character AI systems.
▸ Familiarity with model optimization for real-time or near-real-time inference (ONNX, TensorRT, quantization).
▸ Contributions to the ML community — publications, open-source, or conference talks.
Who You Are
You own your work end-to-end and don't wait to be told how. You're as comfortable in an ML research paper as you are in a production incident. You collaborate well with product and can translate between user needs and model behavior. You care about getting things right — the evaluation framework, the safety guardrails, the cost profile — not just getting them shipped.
How Genies will support you
- Competitive salary and equity packages
- Comprehensive health, dental, and vision insurance
- Unlimited PTO
- Parental leave
- Hybrid work structure (minimum 4 days in office weekly)
- Monthly wellness reimbursement
Genies is a well-funded, fast-growing start-up that values innovation, creativity, and ownership. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future.
These are for our full time, benefits eligible positions
