SignalfireVerified Source

Principal AI/ML Engineer - VC Backed Startups

170K–270K
Onsite · San Francisco, California
Posted August 3, 2026
payroll

Overview

Join SignalFire’s Talent Network to connect with VC-backed startups seeking Principal AI/ML Engineers. This role focuses on driving AI strategy and scaling AI-powered systems at high-growth companies. Your profile will be shared with our portfolio firms offering exclusive early-stage opportunities.

What You'll Do8

  • 1Build and optimize machine learning and deep learning models for production systems
  • 2Research and apply state-of-the-art AI methodologies including LLMs and transformers
  • 3Lead AI strategy initiatives to identify innovation opportunities
  • 4Develop scalable training and inference pipelines for AI applications
  • 5Work closely with engineering data and product teams to integrate AI/ML solutions
  • 6Optimize ML models for efficiency accuracy and scalability
  • 7Ensure robust MLOps practices such as model monitoring and deployment automation
  • 8Collaborate on AI/ML research publications patents and open-source contributions

Requirements11

  • 1Passionate about developing cutting-edge machine learning and deep learning models
  • 2Experience architecting scalable AI systems and leading technical teams
  • 3Excited to push boundaries of AI research and apply to real-world challenges
  • 4Expertise in Python and ML frameworks including TensorFlow PyTorch JAX Hugging Face Transformers
  • 5Strong background in computer vision natural language processing generative AI or reinforcement learning
  • 6Background in developing scalable AI pipelines data processing workflows and distributed training systems
  • 7Familiarity with big data tools Apache Spark Kafka Hadoop and MLOps platforms MLflow TFX SageMaker
  • 8Deep understanding of LLMs transformer architectures and retrieval-augmented generation pipelines
  • 9Experience with model quantization fine-tuning and optimization techniques
  • 10Strong knowledge of cloud environments AWS GCP Azure and containerization tools Docker Kubernetes
  • 11Proven track record of technical leadership mentoring and driving AI innovation

Salary Insight

$170 - $270k per year

Location

Typeonsite
LocationSan Francisco, California

Required Skills

PythonTensorFlowPyTorchJAXHugging Face TransformersComputer VisionNatural Language ProcessingGenerative AIReinforcement LearningApache SparkKafkaHadoopMLflowTFXSageMakerAWS
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