Machine Learning Engineer

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

Interested? Apply now!

Have questions about our hiring process? Email us at 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.