Founding AI ML Engineer Senior Staff VC Backed Startups

• Designing, developing, and deploying machine learning (ML) and deep learning models
• Building scalable data pipelines for preprocessing, feature engineering, and model training
• Optimizing and deploying AI models for real-time and batch processing
• Working closely with founders to align AI strategies with product and business goals
• Researching and integrating state-of-the-art AI methodologies
• Developing and optimizing RAG pipelines, agent architectures, and LLM-powered systems

Common Qualifications
While each startup has its own hiring criteria, many founding AI roles in our network look for:

• 3+ years of experience in machine learning, 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

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

• 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.

Compensation Range: $170K - $250K