About Us
Joulea is a startup building a software platform that reduces energy consumption in commercial buildings. Buildings consume 40% of the total energy in the United States and emit over 10% more greenhouse gas emissions than the entire transportation sector combined - vehicles, trucks, aircraft, rail and ships. A significant portion of commercial building budgets are spent and wasted on energy usage. We use the aerospace industry&rsquo;s product lifecycle management principles in order to create a novel approach to apply them to commercial real estate. Joulea implements holistic, integrated optimization methods that redefine energy efficiency and reduce operating costs within commercial buildings. We are an ATDC portfolio company backed by wemarathon with offices at ATDC in Midtown Atlanta.
&nbsp;
Job Description
We are looking to add a Machine Learning Engineer with a wide range of experience in bringing Machine Learning and Computer Vision models to production. You will work closely with the Founder, aerospace engineering masters and PhDs, MBAs, and other postgraduate-level subject matter and industry experts. You will play a key role in shaping our technology platform from the ground up. This is an excellent opportunity to challenge yourself and work with a team dedicated to reducing the carbon footprint within the United States, and eventually, the world!
&nbsp;
Responsibilities
<ul data-rte-list="default">
<li>
Design, develop, test, and deploy Machine Learning and Computer Vision algorithms
</li>
<li>
Working with lidar point clouds segmentation, 3D modeling of lidar and thermal point cloud generation, as well as photogrammetry.
</li>
<li>
Deploy machine learning models, identify gaps, and evaluate relevant tools and technologies for continuous improvement
</li>
<li>
Work with a wide range of systems, processes, and technologies that have the potential for implementation of Machine Learning and Computer Vision algorithms
</li>
<li>
Be actively involved in strategic direction and product decisions
</li>
<li>
Collaborate with energy modeling and UAS group to optimize data collection and processing
</li>
<li>
Train and mentor internal colleagues to develop and debug Machine Learning and Computer Vision systems
</li>
<li>
Stay up-to-date with the latest technologies and techniques related to lidar point cloud processing and analysis
&nbsp;
</li>
</ul>
Requirements
<ul data-rte-list="default">
<li>
Self-starter that is comfortable working in ambiguous environments
</li>
<li>
Creative and innovative mindset, with a willingness to implement new techniques
</li>
<li>
Excellent communicator and collaborator with a strong focus on disciplined execution and results
</li>
<li>
Strong organizational and management skills
</li>
<li>
Solid attention to detail and problem-solving skills
&nbsp;
</li>
</ul>
Minimum Experience
<ul data-rte-list="default">
<li>
MS in Applied Statistics, Mathematics, Computer Science, Data Science, Computational Science, or related field with 2+ years of industry experience
</li>
<li>
Experience with one or more Deep Learning libraries such as Tensorflow, Keras, PyTorch, or Theano
</li>
<li>
Experience with building computer vision solutions and scaling computer vision systems
</li>
<li>
GCP, AWS cloud experiences including ML model development/deployment, and visualization for model health monitoring
</li>
<li>
Experience with software development and programming languages such as Python, C++, and MATLAB
</li>
<li>
Experience with git version control and MLops
&nbsp;
</li>
</ul>
Preferred Experience
<ul data-rte-list="default">
<li>
Ph.D. in Applied Statistics, Mathematics, Computer Science, Data Science, Computational Science, and Engineering or related field with specialization in Computer Vision or Deep Learning
</li>
<li>
Strong knowledge of point cloud segmentation, 3D modeling of lidar and thermal point cloud generation, and photogrammetry
</li>
<li>
Experience in implementing mathematical optimization, algorithms, and data structures
</li>
<li>
5+ years of industry experience
</li>
<li>
Experience with OpenCV, SQL
</li>
<li>
Experience with photogrammetry
</li>
<li>
Experience with RGB and Thermal Cameras
</li>
<li>
Experience in using Apache Spark, Pyspark, Amazon Sagemaker, or Microsoft Azure throughout the machine learning lifecycle &nbsp;
</li>
</ul>
Benefits
<ul data-rte-list="default">
<li>
Competitive Salary
</li>
<li>
Equity Compensation
</li>
<li>
Full Health, Vision, and Dental Insurance
</li>
<li>
Per Diem Lunch
</li>
</ul>
Interested in applying? Send your resume to careers@joulea.com.
International applicants are welcome if they are currently eligible to work in the US, such as with OPT EAD, CPT, or in H-1B status.

Joulea is a startup building a software platform that reduces energy consumption in commercial buildings. Buildings consume 40% of the total energy in the United States and emit over 10% more greenhouse gas emissions than the entire transportation sector combined - vehicles, trucks, aircraft, rail, and ships. A significant portion of commercial building budgets are spent and wasted on energy usage. We use the aerospace industry&rsquo;s product lifecycle management principles in order to create a novel approach to apply them to commercial real estate. Joulea implements holistic, integrated optimization methods that redefine energy efficiency and reduce operating costs within commercial buildings.&nbsp;We are an ATDC portfolio company backed by wemarathon with offices at ATDC in Midtown Atlanta.

Machine Learning Engineer

About Us
Joulea is a startup building a software platform that reduces energy consumption in commercial buildings. Buildings consume 40% of the total energy in the United States and emit over 10% more greenhouse gas emissions than the entire transportation sector combined - vehicles, trucks, aircraft, rail and ships. A significant portion of commercial building budgets are spent and wasted on energy usage. We use the aerospace industry’s product lifecycle management principles in order to create a novel approach to apply them to commercial real estate. Joulea implements holistic, integrated optimization methods that redefine energy efficiency and reduce operating costs within commercial buildings. We are an ATDC portfolio company backed by wemarathon with offices at ATDC in Midtown Atlanta.
&nbsp;
Job Description
We are looking to add a Machine Learning Engineer with a wide range of experience in bringing Machine Learning and Computer Vision models to production. You will work closely with the Founder, aerospace engineering masters and PhDs, MBAs, and other postgraduate-level subject matter and industry experts. You will play a key role in shaping our technology platform from the ground up. This is an excellent opportunity to challenge yourself and work with a team dedicated to reducing the carbon footprint within the United States, and eventually, the world!
&nbsp;
Responsibilities
<ul data-rte-list="default">
<li>
Design, develop, test, and deploy Machine Learning and Computer Vision algorithms
</li>
<li>
Working with lidar point clouds segmentation, 3D modeling of lidar and thermal point cloud generation, as well as photogrammetry.
</li>
<li>
Deploy machine learning models, identify gaps, and evaluate relevant tools and technologies for continuous improvement
</li>
<li>
Work with a wide range of systems, processes, and technologies that have the potential for implementation of Machine Learning and Computer Vision algorithms
</li>
<li>
Be actively involved in strategic direction and product decisions
</li>
<li>
Collaborate with energy modeling and UAS group to optimize data collection and processing
</li>
<li>
Train and mentor internal colleagues to develop and debug Machine Learning and Computer Vision systems
</li>
<li>
Stay up-to-date with the latest technologies and techniques related to lidar point cloud processing and analysis
&nbsp;
</li>
</ul>
Requirements
<ul data-rte-list="default">
<li>
Self-starter that is comfortable working in ambiguous environments
</li>
<li>
Creative and innovative mindset, with a willingness to implement new techniques
</li>
<li>
Excellent communicator and collaborator with a strong focus on disciplined execution and results
</li>
<li>
Strong organizational and management skills
</li>
<li>
Solid attention to detail and problem-solving skills
&nbsp;
</li>
</ul>
Minimum Experience
<ul data-rte-list="default">
<li>
MS in Applied Statistics, Mathematics, Computer Science, Data Science, Computational Science, or related field with 2+ years of industry experience
</li>
<li>
Experience with one or more Deep Learning libraries such as Tensorflow, Keras, PyTorch, or Theano
</li>
<li>
Experience with building computer vision solutions and scaling computer vision systems
</li>
<li>
GCP, AWS cloud experiences including ML model development/deployment, and visualization for model health monitoring
</li>
<li>
Experience with software development and programming languages such as Python, C++, and MATLAB
</li>
<li>
Experience with git version control and MLops
&nbsp;
</li>
</ul>
Preferred Experience
<ul data-rte-list="default">
<li>
Ph.D. in Applied Statistics, Mathematics, Computer Science, Data Science, Computational Science, and Engineering or related field with specialization in Computer Vision or Deep Learning
</li>
<li>
Strong knowledge of point cloud segmentation, 3D modeling of lidar and thermal point cloud generation, and photogrammetry
</li>
<li>
Experience in implementing mathematical optimization, algorithms, and data structures
</li>
<li>
5+ years of industry experience
</li>
<li>
Experience with OpenCV, SQL
</li>
<li>
Experience with photogrammetry
</li>
<li>
Experience with RGB and Thermal Cameras
</li>
<li>
Experience in using Apache Spark, Pyspark, Amazon Sagemaker, or Microsoft Azure throughout the machine learning lifecycle &nbsp;
</li>
</ul>
Benefits
<ul data-rte-list="default">
<li>
Competitive Salary
</li>
<li>
Equity Compensation
</li>
<li>
Full Health, Vision, and Dental Insurance
</li>
<li>
Per Diem Lunch
</li>
</ul>
Interested in applying? Send your resume to careers@joulea.com.
International applicants are welcome if they are currently eligible to work in the US, such as with OPT EAD, CPT, or in H-1B status.

Machine Learning Engineer

About the Job

About the Company

Joulea