Machine Learning Engineer

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. seeks a Machine Learning Engineer to join our team in San Antonio, TX. This FULL_TIME role involves developing machine learning models for renewable energy projects, with a negotiable salary.

The Machine Learning Engineer will design and implement machine learning models to address complex issues within our renewable energy portfolio. Collaboration with cross-functional teams is essential for delivering high-quality solutions.

The Machine Learning Engineer will collaborate with a diverse team in San Antonio, Texas, to develop and implement innovative machine learning solutions tailored for the renewable energy sector. This role involves working closely with data scientists, software engineers, and domain experts to design, train, and deploy machine learning models that can predict energy generation, optimize energy distribution, and enhance overall energy efficiency. The engineer will also be responsible for monitoring model performance, ensuring data quality, and continuously improving the models based on feedback and new data. By leveraging their expertise in machine learning algorithms and programming languages such as Python, the engineer will contribute to the advancement of sustainable energy solutions, helping to drive the transition towards a cleaner and more efficient energy future.

The salary for this role is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. Benefits may include comprehensive health insurance, retirement plans with employer matching contributions, and opportunities for professional development, such as tuition reimbursement or access to online courses and certifications. Additionally, the role may offer flexible work arrangements, such as remote work options or a hybrid schedule, to promote work-life balance. The company also provides a generous paid time off policy, including vacation days, sick leave, and holidays, to support employees' well-being and productivity.

Candidates should have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch is required. Proficiency in Python and SQL is essential.

The deadline for submissions is set for November 23, 2026.

What You Will Do:

• Design, develop, and deploy machine learning models to improve energy forecasting and optimization.
• Collaborate with data scientists, engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor model performance and make data-driven decisions to enhance our energy solutions.
• Stay updated with the latest advancements in machine learning and apply new techniques to our projects.
• Document and share your work with the team to ensure knowledge transfer and best practices.

What You Bring:

• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Machine Learning Engineer with a strong portfolio of projects.
• Proficiency in Python, TensorFlow, and PyTorch.
• Experience with cloud platforms such as AWS or Google Cloud.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.