SignalFire is looking to connect exceptional Staff AI and Machine Learning engineers with top early-stage startups that are shaping the future of technology, specifically in AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Requirements
- 6+ years of experience in AI/ML, 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)
- Python
- TensorFlow
- PyTorch
- JAX
Responsibilities
- Developing and deploying machine learning (ML) and deep learning models
- Building scalable data pipelines for training and inference
- Working directly with founders to align AI strategies with product roadmaps
- Researching and implementing state-of-the-art AI methodologies
- Optimizing RAG pipelines, agent architectures, and LLM-powered systems
Other
- Startup experience or an interest in early-stage environments is a plus
- Submit your application to join SignalFire’s Talent Ecosystem
- We review applications on an ongoing basis to identify strong candidates
- If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly
- No match yet? We’ll keep your profile on file for future AI/ML roles in our portfolio
