SignalFire is looking to connect exceptional Principal AI/ML Engineers with VC-backed startups that are shaping the future of technology, aiming to drive AI strategy, advance machine learning research, and scale AI-powered systems.
Requirements
- Expertise in Python and ML frameworks (TensorFlow, PyTorch, JAX, Hugging Face Transformers)
- Strong background in computer vision, NLP, generative AI, or reinforcement learning
- Experience developing scalable AI pipelines, data processing workflows, and distributed training systems
- Familiarity with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms (MLflow, TFX, SageMaker)
- Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines
- Experience with model quantization, fine-tuning, and optimization for performance
- Strong knowledge of cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
Responsibilities
- Architect, develop, and optimize machine learning and deep learning models for production systems
- Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning
- Lead AI strategy, identifying opportunities for innovation and model optimization
- Develop scalable training and inference pipelines for AI-powered applications
- Work closely with engineering, data, and product teams to integrate AI/ML into business solutions
- Optimize ML models for efficiency, accuracy, and scalability in real-world deployments
- Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation
Other
- 8+ years of experience in AI/ML, deep learning, or applied AI
- A track record of technical leadership, mentoring, and driving AI innovation
- Passionate about developing and deploying cutting-edge machine learning and deep learning models
- Experienced in architecting scalable AI systems and leading technical teams
- Excited to push the boundaries of AI research and apply it to real-world business challenges
