SignalFire is looking to connect exceptional Founding AI Engineers with top early-stage, VC-backed startups that are shaping the future of technology by building AI/ML models from the ground up and deploying them in production.
Requirements
- 3+ years of experience in machine learning, deep learning, or applied AI
- Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX
- Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms
- Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
Responsibilities
- Designing, developing, and deploying machine learning (ML) and deep learning models
- Building scalable data pipelines for preprocessing, feature engineering, and model training
- Optimizing and deploying AI models for real-time and batch processing
- Working closely with founders to align AI strategies with product and business goals
- Researching and integrating state-of-the-art AI methodologies
- Developing and optimizing RAG pipelines, agent architectures, and LLM-powered systems
Other
- Passionate about building AI/ML models from the ground up and deploying them in production
- Excited about joining early-stage startups and working directly with founders
- Interested in shaping AI strategy and leading the development of AI-powered products
- Startup experience or an interest in early-stage environments is a plus
