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

Energy Jobline
Boulder, CO, United States
2 days ago
Apply on www.energyjobline.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.energyjobline.com

Tech stack

Data Analysis Python (Programming Language) Machine Learning Data Processing

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.

Requirements

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.energyjobline.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:10 min

Defining stream data processing versus standard event processing

Soroosh Khodami Soroosh Khodami · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

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2:01 min

Executing remote data exploration and model training

Mingshen Sun Mingshen Sun · World Congress 2024

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

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30:51
World Congress 2024 • about 2 years ago

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World Congress 2022 • over 4 years ago

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