Energy Forecasting ML Engineer (Remote/Hybrid)

Redwood Ridge Corp.; San Antonio (TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with matching

Tuition reimbursement

Flexible work options

Job summary

Redwood Ridge Corp. is seeking a Machine Learning Engineer in San Antonio, TX, to design and deploy ML models for renewable energy projects. You will work with data scientists, software engineers, and domain experts to forecast energy generation and optimize distribution.

The role requires a Master’s in CS/EE, TensorFlow and PyTorch proficiency, and cloud experience (AWS or Google Cloud). Remote or hybrid work options may be available, with a negotiable salary and comprehensive benefits.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• Proven experience as a Machine Learning Engineer with ML model development and deployment.
• Proficiency in Python, TensorFlow, PyTorch; experience on AWS or Google Cloud.

Responsibilities

• Design, develop, and deploy ML models to improve energy forecasting and optimization.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into technical solutions.
• Monitor model performance and data quality; iterate with feedback to improve models.

Skills

Python

Data analysis

Teamwork

Communication

Education

Master's degree in Computer Science or Electrical Engineering

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Job description

Redwood Ridge Corp. is seeking a Machine Learning Engineer in San Antonio, TX, to design and deploy ML models for renewable energy projects. You will work with data scientists, software engineers, and domain experts to forecast energy generation and optimize distribution.

The role requires a Master’s in CS/EE, TensorFlow and PyTorch proficiency, and cloud experience (AWS or Google Cloud). Remote or hybrid work options may be available, with a negotiable salary and comprehensive benefits.