Machine Learning Engineer
Core
Build, train, and deploy large foundation model architectures for time-series forecasting, integrating multimodal inputs to serve customers in supply chain, finance, and staffing.
Role type
Senior IC machine learning engineer (foundation models)
Builds
Production time-series foundation models and APIs
Domain
Time-series forecasting, multi-modal data integration
Deliverable
production ML models
Required skills
training large foundation models, Python, PyTorch or Jax, time-series data handling, data exploration, model deployment (ONNX, torch.compile), rapid prototyping
Preferred skills
low-level languages (CUDA, Rust, C++), real-time data stream systems, building projects from scratch, RAG-ready models
Technologies
PyTorch, Jax, ONNX, torch.compile
Responsibilities
Architect and train time-series foundation models using diverse datasets; design reproducible experiments to verify and combine ideas from literature; build data exploration tools to understand correlations and patterns; deploy models for API and platform use; gather and act on user feedback to iterate on model capabilities; mentor and guide future team members
Seniority
Senior, hands-on IC
