SignalFire
Staff AI Engineer (Generative AI) - VC Backed Startups
SignalFire, San Francisco, California, United States, 94199
Staff AI Engineer (Generative AI) – VC Backed Startups
Join SignalFire as a Staff AI Engineer (Generative AI) in a VC‑backed startup environment.
We partner with top early‑stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. Our portfolio spans 200+ innovative companies.
Base pay range $170,000.00/yr – $250,000.00/yr
Who Should Join?
Building cutting‑edge AI/ML models and deploying them in production
Excited about joining early‑stage startups in transformative industries
Interested in staying connected with SignalFire’s portfolio for future opportunities
Typical Roles & Responsibilities
Developing and deploying machine learning 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
Common 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).
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 startup leader 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
Venture Capital and Private Equity Principals
Referrals increase your chances of interviewing at SignalFire by 2x.
#J-18808-Ljbffr
We partner with top early‑stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. Our portfolio spans 200+ innovative companies.
Base pay range $170,000.00/yr – $250,000.00/yr
Who Should Join?
Building cutting‑edge AI/ML models and deploying them in production
Excited about joining early‑stage startups in transformative industries
Interested in staying connected with SignalFire’s portfolio for future opportunities
Typical Roles & Responsibilities
Developing and deploying machine learning 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
Common 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).
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 startup leader 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
Venture Capital and Private Equity Principals
Referrals increase your chances of interviewing at SignalFire by 2x.
#J-18808-Ljbffr