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Selected role

Machine Learning Engineer

Spot Freight Indianapolis, IN

Senior Full-time

Today’s logistics marketplace is an ever-changing landscape where you can make your mark. Spot gives you the tools to tackle industry challenges for our partners. Here, initiative, drive, and teamwork form the basis for a rewarding, fast-paced career.

About the Role:
In the Machine Learning Engineer role, you’ll build and scale intelligent systems that directly impact how freight is priced, quoted, and executed in real time. You’ll partner closely with data scientists and engineers to develop multi-agent AI solutions — powering internal tools that support our people and external capabilities that create a best-in-class digital customer experience.

You’ll play a critical role in advancing our pricing technology by deploying machine learning models and LLM-based agents on Databricks, Azure Foundry, and related cloud platforms. As our AI capabilities expand, you’ll refine the reliability, performance, and scalability of deployed systems to ensure they deliver accurate, fast insights to the business.

Performance, automation, and operational excellence matter — you will design monitoring and feedback loops to retrain models, detect drift, and continuously improve outcomes across Spot’s intelligent platforms.

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.

Required Qualifications:

Four-year degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
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 Tables, 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.

Skills:

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.
Organized, detail-oriented mindset with strong problem-solving instincts.
Ability to prioritize and adapt in an environment of rapid innovation and changing needs.
Confident decision-making backed by data and a continuous improvement mindset.

Additional Information:

Visa sponsorship is not available for this position.
This position is on-site 5 days a week in Tampa, FL or Indianapolis, IN

Spot is built on relationships, combining 24/7 support with a proven, passionate, and dedicated team of logistics professionals. You can reach your true potential through the unlimited opportunities we offer. When you put in the effort, show initiative, solve problems, and build lasting client relationships, you earn respect and rewards. You’ll also be a key component to the success of an industry leader. At Spot, we’ve never lost the entrepreneurial spirit that provides the foundation for our success.

Spot Freight, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Spot Freight is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a disability, you need a reasonable accommodation, please contact our Human Resources team to notify us of your request. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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