We are looking to add a Machine Learning Engineer with experience in designing artificial intelligence systems to our growing team.
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.
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!
Responsibilities
Design, develop, test, and deploy Machine Learning and Computer Vision algorithms
Deploy machine learning models, identify gaps, and evaluate relevant tools and technologies for continuous improvement
Work with a wide range of systems, processes, and technologies that have the potential for implementation of Machine Learning and Computer Vision algorithms
Be actively involved in strategic direction and product decisions
Collaborate with energy modeling and UAS group to optimize data collection and processing
Train and mentor internal colleagues to develop and debug Machine Learning and Computer Vision systems
Requirements
Self-starter that is comfortable in a rapidly evolving, high-growth environment
Creative and innovative mindset, with a willingness to try new things
Proactive communicator and collaborator
Strong organizational and management skills
Solid attention to detail and problem-solving skills
Bias towards strategic analysis and critical thinking
Minimum experience
MS in Applied Statistics, Mathematics, Computer Science, Data Science, Computational Science, or related field with 2+ years of industry experience
Experience with one or more Deep Learning libraries such as Tensorflow, Keras, PyTorch, or Theano
Experience with building computer vision solutions and scaling computer vision systems
GCP, AWS cloud experiences including ML model development/deployment, and visualization for model health monitoring
Experience using version control tools like Git
Experience using Python and C++
Experience in ML Ops
Preferred experience
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
Experience in implementing mathematical optimization, algorithms, and data structures
5+ years of industry experience
Experience with OpenCV, SQL
Experience with photogrammetry
Experience with RGB and Thermal Cameras
Experience in using Apache Spark, Pyspark, Amazon Sagemaker, or Microsoft Azure throughout the machine learning lifecycle
Benefits
Competitive Salary
Equity Compensation
Full Health, Vision, and Dental Insurance
Per Diem
