Remote Junior Machine Learning Engineer

Spotter Labs is seeking a Junior Machine Learning Engineer to help build and improve AI-powered products. The role involves developing and evaluating machine learning models, preparing datasets, running performance experiments, deploying models to production, and collaborating with software engineers to integrate ML solutions.

Responsibilities:

• Develop, train, test, and evaluate machine learning models
• Prepare, clean, and analyze datasets for model training
• Run experiments and improve model performance
• Help deploy and maintain ML models in production
• Collaborate with software engineers to integrate ML solutions into products
• Monitor model performance and identify opportunities for improvement
• Explore new machine learning techniques and technologies that could improve our products

Requirements:

• Strong Python fundamentals
• Understanding of core machine learning concepts and algorithms
• Experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn
• Comfortable working with data and writing clean, maintainable code
• Familiarity with Git
• Strong analytical and problem-solving skills
• Good written and verbal English communication
• 1+ year of experience in machine learning, software engineering, data science, or a related technical role — or strong personal/academic projects demonstrating practical ML skills
• Experience working with large language models (LLMs)
• Familiarity with AWS, GCP, or Azure
• Experience with SQL
• Experience deploying ML models
• AI/ML personal projects, research, hackathons, or open-source contributions