Remote Machine Learning Engineer
Job Description
Spotter offers a fully remote role with a flexible environment and the chance to work on real AI products. Based in Lemont, Illinois, this position supports cross functional collaboration while you develop, train, evaluate, and deploy machine learning models. If you enjoy solving technical challenges and want opportunities to grow your ML expertise within a fast moving, collaborative team, this role provides a clear path to advancement with compensation that reflects experience.
Benefits
- Fully remote work arrangement
- Flexible scheduling to support your workflow
- Opportunity to contribute to real AI products
- Challenging technical problems with room to grow
- Collaborative and fast moving team culture
- Competitive compensation based on experience
Responsibilities
- Develop, train, and evaluate machine learning models to address relevant problems
- Prepare and analyze datasets to support model training
- Experiment and test to improve model performance
- Deploy and maintain ML models in production environments
- Collaborate with software engineers to integrate ML solutions into products
- Monitor model performance and continuously improve accuracy
- Stay informed about new machine learning techniques and technologies
Requirements
- At least 1 year of hands on experience with machine learning
- Basic understanding of machine learning concepts and algorithms
- Experience with Python
- Familiarity with ML libraries such as PyTorch, TensorFlow, or scikit-learn
- Comfort working with data and writing clean, maintainable code
- Familiarity with Git
- Strong problem solving skills
- Good written and spoken English communication
Technologies
- Python
- PyTorch
- TensorFlow
- scikit-learn
- Git
- AWS
- GCP
- Azure
- SQL