ML Engineer, Energy Storage & Grid Analytics (Hybrid/Remote)

Silversmith Capital Partners; Boulder (CO); Hybrid; USD 100,000 - 160,000; Full time

Benefits offered by this job

Flexible work hours

Hybrid schedule

Job summary

Ascend Analytics is seeking a Machine Learning Engineer for the SmartBidder team in Boulder, CO. The role is hybrid or remote, supporting energy storage and renewable assets with advanced analytics and scalable software solutions.

You will prototype models, optimize performance, and collaborate across software and analytics to deliver production‑ready data science features. Strong Python, ML, and data processing skills are essential.

Qualifications

• 2+ years in a related ML/data role.
• Strong Python coding experience.
• Familiarity with Pandas/Numpy; PyTorch or similar ML framework.

Responsibilities

• Prototype ML models for short‑term energy market forecasting.
• Optimize algorithm performance and software design.
• Collaborate with analysts to productionize data science models.
• Write clean, scalable Python production code.

Skills

Python

Pandas

Numpy

PyTorch

Data analysis

Communication

Machine learning

Cloud knowledge

Education

BS/MS in Engineering, Computer Science, or related field

Tools

Scikit-Learn

Sympy

Docker

Job description

Ascend Analytics is seeking a Machine Learning Engineer for the SmartBidder team in Boulder, CO. The role is hybrid or remote, supporting energy storage and renewable assets with advanced analytics and scalable software solutions.

You will prototype models, optimize performance, and collaborate across software and analytics to deliver production‑ready data science features. Strong Python, ML, and data processing skills are essential.