Staff AI Engineer (Generative AI) - VC Backed Startups

SignalFire; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Join a leading firm focused on venture capital, specifically supporting transformative AI and Machine Learning startups. As a Staff AI Engineer (Generative AI), you will play a critical role in developing cutting-edge AI solutions, and your extensive experience will shape the technologies used across various innovative companies in the portfolio. SignalFire offers a dynamic environment for professionals eager to collaborate with startups and pioneer AI advancements.

Qualifications

• 6+ years in AI/ML, deep learning or applied AI.
• Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX.
• Experience with big data tools and MLOps platforms.

Responsibilities

• Developing and deploying machine learning and deep learning models.
• Building scalable data pipelines for training and inference.
• Collaborating with founders on AI strategies.

Skills

Python

Machine Learning

Deep Learning

MLOps

Data Engineering

Tools

TensorFlow

PyTorch

JAX

Kubernetes

Docker

Job description

Staff AI Engineer (Generative AI) - VC Backed Startups

Join to apply for the Staff AI Engineer (Generative AI) - VC Backed Startups role at SignalFire.

This is a talent network opportunity for AI & Machine Learning roles with SignalFire's portfolio of early-stage startups. If you are an AI engineer with experience in building and deploying models, interested in transformative startups, and eager to stay connected with SignalFire, this could be a fit.

Role Details

• Developing and deploying machine learning and deep learning models
• Building scalable data pipelines for training and inference
• Collaborating with founders on AI strategies
• Researching and implementing cutting-edge AI methodologies
• Optimizing RAG pipelines, agent architectures, and LLM-powered systems

Qualifications

• 6+ years in AI/ML, deep learning, or applied AI
• Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX
• Experience with big data tools and MLOps platforms
• Familiarity with cloud environments and containerization
• Startup experience or interest is a plus

Technologies

Python, TensorFlow, PyTorch, JAX, Kubernetes, Docker, MLflow, Kubeflow, FastAPI, SQL, NoSQL, Airflow, Spark, Kafka, Hadoop, AWS, GCP, Azure.

Next Steps

• Submit your profile to join SignalFire’s Talent Ecosystem
• Applications are reviewed continuously
• If matched, a SignalFire partner or startup leader may contact you
• Profiles are kept on file for future opportunities

Compensation Range: $170K - $250K

Additional Details

• Seniority Level: Mid-Senior level
• Employment Type: Full-time
• Industry: Venture Capital & Private Equity

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