Remote Machine Learning Engineer
val's services · Cupertino, CA · Yesterday
EngineeringFull-time
Responsibilities
- Design and implement advanced ML models for the energy grid
- Research and apply generative time-series forecasting algorithms
- Extend ML libraries
- Run tests to optimize models
- Monitor model performance
- Quickly test creative solutions with revenue impact
Qualifications & Skills
- Proven experience in ML engineering
- Strong understanding of data structures, modeling, and algorithms
- Proficiency in Python and frameworks like Keras or PyTorch
- Excellent communication and teamwork abilities
- Strong analytical problem-solving skills
- A degree in Computer Science, Engineering, Mathematics, or related fields is required
- Advanced degrees are a plus