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Principal AI / ML Engineer - VC Backed Startups

Principal AI / ML Engineer - VC Backed Startups

SignalFireSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Join SignalFire's Talent Network for Principal AI / ML Engineer Roles at VC-Backed Startups

At SignalFire , we partner with top early-stage startups that are shaping the future of technology. Our 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.

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 talentnetwork@signalfire.com.

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?

  • 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.
  • Create a job alert for this search

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