Description:

SignalFire is seeking to connect with exceptional Principal AI/ML Engineers for roles at top early-stage startups.
The position involves driving AI strategy, advancing machine learning research, and scaling AI-powered systems.
By joining SignalFire’s Talent Network, candidates will gain visibility into exclusive early-stage opportunities that may not be publicly listed.
This is not an application for a specific job but a way to get on the radar of VC-backed startups actively hiring AI/ML talent.
Candidates should be passionate about developing and deploying cutting-edge machine learning and deep learning models.
Responsibilities include architecting, developing, and optimizing machine learning and deep learning models for production systems, leading AI strategy, and collaborating with engineering, data, and product teams.

Requirements:

Candidates should have 8+ years of experience in AI/ML, deep learning, or applied AI.
Expertise in Python and ML frameworks such as TensorFlow, PyTorch, JAX, and Hugging Face Transformers is required.
A strong background in computer vision, NLP, generative AI, or reinforcement learning is essential.
Experience in developing scalable AI pipelines, data processing workflows, and distributed training systems is necessary.
Familiarity with big data tools like Apache Spark, Kafka, and Hadoop, as well as MLOps platforms such as MLflow, TFX, and SageMaker, is expected.
A deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines is required.
Candidates should have experience with model quantization, fine-tuning, and optimization for performance.
Strong knowledge of cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is necessary.
A track record of technical leadership, mentoring, and driving AI innovation is preferred.

Joining SignalFire’s Talent Network provides access to exclusive early-stage opportunities in the AI/ML field.
Candidates will have the chance to work with innovative startups shaping the future of technology.
The network allows for potential direct outreach from SignalFire talent partners or leaders from startups if a match is found.
Profiles will be kept on file for future AI/ML roles in the portfolio if there is no immediate match.