// RESPONSIBILITIES

• Reviewing relevant literature regarding data collection, building modeling, and optimization techniques.
• Determining the right building attributes and equipment data to collect at the frequency needed to achieve results.
• Developing APIs and data access to our various components such as our graph database, time series data, and devices in the field via AWS IoT, 
• Collecting and constructing data inputs from:  building attributes; streams like dynamic pricing and weather; and equipment and sensor data.
• Using publish/subscribe mechanisms to deliver data to and from our machine-learning based control algorithms to other areas of the system.
• Packaging different types of optimization algorithms, from Model Predictive Control (MPC) to Reinforcement Learning (RL) to hybrid solutions from  prototyped solutions.
• Help to design M&V techniques using various statistical methods to help understand the effectiveness of the solution as well as identify areas of improvement.
• Building tests to maintain a high-level of quality in the system.
• Integrating with databases of all types: relational, GraphDB, and TimeSeries.

//  REQUIREMENTS

• Bachelor's degree in computer science, mathematics, or related
• 3+ years of experience working with Python. 

DevOps Experience: 

• Containerizing solutions for easy deployment.
• Working in Linux-based operating systems without a windowing system. 
• Deploying solutions in our AWS-based cloud environment using EC2, Lambda,, S3, Cloudwatch, and others as needed.
• Familiarity with distributed systems architecture: datasets, parallel data processing, and distributed training.
• Understanding of storage, network, and compute resources and their speed and cost tradeoffs.
• Commitment to stage-gate testing from data validation to model performance and code integration.
• Value and stay on top of security, privacy best practices 

YES, THAT MEANS YOU!

// We are intentionally a diverse group of people, and we're eager to keep growing that diversity. If our mission and this job speak to you and you have the interest and ability to work smart, learn, and grow with us then we want you to apply for this job.  Even if this is not the exact right opportunity for you, we want to know about you and keep you in mind for future posts.

Community Energy Lab is an Equal Opportunity ployer.  All applications will receive consideration for employment without regard to legally protected characteristics.