Senior Software Engineer - Machine Learning

What you'll do

• Lead end-to-end lifecycle of predictive models for logistics operations.
• Identify and research advanced machine learning techniques for step-change opportunities.
• Deploy ML models at scale using frameworks like PyTorch or TensorFlow.
• Integrate generative AI and agentic systems to drive business value in freight industry.
• Design and implement scalable, production-ready ML models with robust monitoring.

What we're looking for

• At least 5+ years of Machine Learning engineering experience.
• Experience deploying ML models at scale using PyTorch, TensorFlow, Scikit-Learn, or Spark MLlib.
• Proven experience designing and implementing machine learning models in production with large datasets.
• Deep understanding of ML theory and a broad toolkit of algorithms including deep learning and traditional statistical models.
• BS, MS or PhD degree in computer science, Data Science, ML or equivalent practical experience.