Software Engineer (RAG)
$180,000-$240,000
San Francisco, Hybrid
Permanent role
Our mission is to make AI accessible, safe, and dependable for everyone. We develop open-source algorithms and no-code SaaS tools inspired by cutting-edge research to help individuals and teams systematically and algorithmically curate high-quality datasets. This empowers AI systems to be trained effectively on real-world, imperfect, and error-prone data.
You will be responsible for building the data and Machine Learning systems underpinning a user-friendly web app powered by our ML algorithms.
Responsibilities:
- Productionizing the algorithms by designing and implementing systems that perform data ingestion, data processing, ML training, and ML inference
- Optimizing code for speed, scalability, security, and reliability
- Ideating and prototyping novel product features enabled by our research
- Collaborating with our data scientists and machine learning engineers to integrate feedback
Requirements:
- Track record of shipping high-quality code in challenging projects
- Exceptional programming skills
- Ability to thrive in a fast-paced environment, navigate ambiguity, and adapt to changing priorities
- Experience working in AI infrastructure, with LLMs and RAG
- Proficient in backend development (Python, Django, SQL, etc) and cloud (AWS)