Logo
SignalFire

Staff AI Engineer (Generative AI) - VC Backed Startups

SignalFire, San Francisco, California, United States, 94199

Save Job

Staff AI Engineer (Generative AI) - VC Backed Startups Join to apply for the

Staff AI Engineer (Generative AI) - VC Backed Startups

role at

SignalFire .

Base pay range: $170,000.00/yr - $250,000.00/yr.

At

SignalFire , we partner with

top early-stage startups

across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We are looking to connect with exceptional

Staff AI and Machine Learning engineers

who are excited about joining high-growth startups as founding or early team members.

Responsibilities

Developing and deploying machine learning (ML) and deep learning models

Building scalable data pipelines for training and inference

Working directly with founders to align AI strategies with product roadmaps

Researching and implementing state-of-the-art AI methodologies

Optimizing RAG pipelines, agent architectures, and LLM-powered systems

Qualifications

6+ years of experience in AI/ML, deep learning, or applied AI

Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX

Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms

Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)

Startup experience or an interest in early-stage environments is a plus

Technologies You Might Work With Python, TensorFlow, PyTorch, JAX, Kubernetes, Docker, MLflow, Kubeflow, FastAPI, SQL, NoSQL, Airflow, Spark, Kafka, Hadoop, AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery), Azure (ML Studio, Synapse).

Next Steps

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.

Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering and Information Technology

#J-18808-Ljbffr