Transform how professional organizations, industry associations, and expert communities solve problems, deliver value, and engage their members by building intelligent, human-centered solutions that combine the promise of AI with a deep understanding of how people and communities work
Requirements
- Machine learning engineering with 3 to 5 years’ experience in AI/ML, including at least 2 years of hands-on building ML models
- Experience in SLMs (Small Language Models) and linear coding
- Programming skills in Python, skilled in C++ or Java
- Experience in TensorFlow, PyTorch, or scikit-learn
- Experience in distributed computing or big data (Spark, Hadoop)
- Cloud platforms AWS, GCP, Azure experience
- Early-stage startup experience
Responsibilities
- Helping to build the AI model development
- Ensuring that neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions are built on robust, scalable, and state-of-the-art models
- Building ML models
- Working on SLMs (Small Language Models) and linear coding
- Programming in Python, C++, or Java
- Working with TensorFlow, PyTorch, or scikit-learn
- Experience in distributed computing or big data (Spark, Hadoop)
Other
- Team player with a get stuff done mindset and hands on in development
- Bachelor’s degree
- Citizen or Green Card Holder
- No Sponsorship available currently
- Periodic travel to Seattle, Bay Area for team, client meetings
