Description:

SignalFire is seeking exceptional Staff AI Engineers to join its portfolio of top-tier startups as early team members.
The role involves working directly with visionary founders and SignalFire’s Talent team to shape the future of AI across various industries.
Responsibilities include designing, developing, and deploying machine learning (ML) and deep learning models for cutting-edge applications.
Staff AI Engineers will build pipelines for data preprocessing, feature engineering, and model training.
The position requires deploying and optimizing models in production for both real-time and batch processing.
Engineers will work closely with founders to align AI/ML solutions with product and business strategies.
Conducting research on emerging AI technologies and integrating state-of-the-art methodologies is also part of the role.
The position involves developing and optimizing RAG pipelines, agent architectures, and other LLM-powered systems.
This is a blanket application for full-time opportunities directly with portfolio startups, not through SignalFire.

Requirements:

Candidates must have 7+ years of experience in machine learning, deep learning, or applied AI.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX is required.
A strong background in data manipulation using Pandas, NumPy, and Dask is necessary.
Experience with big data tools like Apache Spark, Hadoop, or Kafka is essential.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes is expected.
Knowledge of MLOps tools such as MLflow, TFX, SageMaker, or DataRobot is required.
Experience in early-stage environments or lean teams is considered a plus.

Staff AI Engineers will have the opportunity to work with a diverse portfolio of VC-backed startups from Seed to Series D.
The role offers the chance to collaborate with innovative founders and contribute to transformative AI projects.
Engineers will gain exposure to cutting-edge technologies and methodologies in the AI field.
The position provides a unique opportunity to shape the future of technology across various industries.