Principal AI/ML Engineer - VC Backed Startups

JOIN SIGNALFIRE’S TALENT NETWORK FOR PRINCIPAL AI/ML ENGINEER ROLES AT VC-BACKED STARTUPS 🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring AI/ML talent. If you have any questions, please direct inquiries to [email removed]. At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio https://www.signalfire.com/portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We’re looking to connect with exceptional Principal AI/ML Engineers who are excited about driving AI strategy, advancing machine learning research, and scaling AI-powered systems at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed. WHO SHOULD JOIN? We’re looking for AI/ML experts who are: ✔ 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 TYPICAL ROLES & 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 - Collaborate on AI/ML research publications, patents, and open-source contributions COMMON QUALIFICATIONS While each startup has its own hiring criteria, many Principal AI/ML Engineer roles in our network look for: - 8+ years of experience in AI/ML, deep learning, or applied AI - 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) - A track record of technical leadership, mentoring, and driving AI innovation 💡 TECHNOLOGIES YOU MIGHT WORK WITH: - Languages & Frameworks: Python, TensorFlow, PyTorch, JAX, Hugging Face Transformers - MLOps & Data Pipelines: MLflow, Kubeflow, TFX, Apache Spark, Airflow, Ray - Cloud & Deployment: AWS SageMaker, GCP Vertex AI, Azure ML, Kubernetes, Docker - Big Data & Storage: Apache Kafka, Hadoop, BigQuery, Snowflake, Redis, NoSQL databases - Model Optimization: ONNX, TensorRT, pruning, quantization, distillation WHAT HAPPENS NEXT? 1. Submit your application to join SignalFire’s Talent Ecosystem. 2. We review applications on an ongoing basis to identify strong candidates. 3. If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly. 4. No match yet? We’ll keep your profile on file for future AI/ML roles in our portfolio.