Machine Learning Engineer

Machine Learning Engineer

SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production—integrating agentic AI systems into our product. This role is engineering-focused, working alongside a research counterpart to build and deploy real-world AI automation tools. This is an ideal role for a generalist who has built AI applications before and has strong intuition for AI—especially in deploying AI powered applications and AI agents. At SynthBee we're building Collaborative Intelligence™ maximizing the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process.

What You'll Do

• Develop AI-driven reasoning agents and frameworks for automating complex tasks.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines
• Distill and fine-tune AI models to improve reasoning, automation, and decision-making.
• Deploy AI models into scalable, production-ready systems using Python and cloud-based infrastructure.
• Collaborate closely with researchers to operationalize AI advancements into real applications.

What We're Looking For

• Proven experience building and deploying AI applications (ideally in a startup or fast-moving environment).
• Hands-on expertise with agentic frameworks (e.g., AutoGen, CrewAI, LangChain, DSPy, or Haystack).
• Strong background in AI-powered automation & orchestration workflows.
• Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate).
• Some experience with fine-tuning AI models is a big plus, but not required.
• Solid coding skills in Python, familiarity with cloud deployment tools (AWS, GCP, or Azure).

Who Should Apply?

You've built AI-powered applications—at a startup, in open-source projects, or in a side hustle. You're excited about agentic AI and building autonomous workflows that solve real problems. You want to be part of a small, fast-moving team where your work directly impacts the product. You're comfortable with ambiguity and love figuring things out in a fast-paced startup.