Spot needs to build and scale intelligent systems to improve freight pricing, quoting, and execution in real time, aiming to enhance internal tools and create a best-in-class digital customer experience.
Requirements
- 3–4+ years of applied machine learning experience with models deployed to production environments.
- Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Hands-on experience in Databricks (Databricks ML, Delta Lake, Model Serving, Unity Catalog).
- Practical knowledge of SQL, distributed data systems, and creating efficient data pipelines.
- Strong understanding of MLOps concepts including CI/CD for ML models, containerization, and versioned deployments.
- Ability to demonstrate capability in a guided technical exercise.
Responsibilities
- Develop and maintain machine learning models and agentic AI systems that improve pricing accuracy, quoting efficiency, and operational decision-making.
- Build and operate MLOps pipelines using Databricks, Delta Lake, and Azure tools to automate data preparation, model training, validation, deployment, and monitoring.
- Integrate ML and LLM-based agents with internal operational tools and customer-facing applications through APIs and orchestration frameworks.
- Implement observability for AI components: performance metrics, drift detection, automated retraining, and incident response.
- Collaborate with engineering teams on architecture that maximizes scalability, security, and throughput in production.
- Participate in code reviews and contribute to engineering standards for our growing AI ecosystem.
- Engage with business stakeholders to understand operational challenges and translate them into intelligent solutions.
Other
- Four-year degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
- Passion for building real-world AI agents that deliver measurable business outcomes.
- Ability to thrive in a fast-paced, high-ownership engineering culture.
- Strong communication and collaboration skills with both technical and operational stakeholders.
- Visa sponsorship is not available for this position.
