Senior Machine Learning Engineer

at  Senseye

Knowledge and experience with a wide variety of machine learning and statistical models, applying these tools to computer vision and tabular problems. Computer vision, in particular, is a foundational activity at Senseye. We are most interested in candidates with a strong computer vision background who will bring new ideas and help us solve some of our hardest challenges. You are comfortable making additions to existing production code based on modeling needs and updates. You understand the unique challenges of modeling compared to software development and have balanced these needs in past projects. You have experience defining modeling problems, preparing data through analysis, wrangling, cleaning, training and testing statistical and machine learning models. You understand the difference between a test score in model building and actual product performance and know how to design processes to quantify this. You are curious, dedicated to learning and improvement, and have no problem being honest about where a modeling project is at and what its limitations might be.

QUALIFICATIONS

• Bachelor’s degree in engineering, computer science or mathematics, or alternate degree showcasing machine learning skills
• Experience collaborating on software projects using version control such as Git, GitHub, Bitbucket, etc.

ABOUT US

Senseye is revolutionizing the interface between technology and human cognition. Through breakthroughs in computer vision, we are pioneering new human-machine interfaces and making the impossible possible. We are a diverse group of people with a broad range of backgrounds, experiences, and perspectives who have a lot of work ahead of us to realize our vision.

REQUIREMENTS

Qualifications:

• In office and in person at least 3 days a week
• Ability to collaborate with peers, and cross-functionally with other developers and team leads.
• BS EE/CS/CE is preferred but not required.

• Use your python knowledge to write and maintain safe, clean, and testable code.
• Work with both engineers and researchers to create, train, test, and deploy algorithms from large neural nets to simple models in production products.
• Shepard modeling projects through their entirety, including high-level design, prototyping, training, testing, and deploying.
• Deeply study and understand both our structured and unstructured data
• Design installable software to clean, perform analysis, and train models.
• Communicate product-level needs and guidelines to other teams resulting from modeling choices
• Stay sharp by finding ways to grow your knowledge and help us to continually improve.
• Find ways to apply your adaptability and flexibility. We’re a small group and need all the teamwork we can get to reach our goals.
• Work closely with software development architects to create, improve and maintain clean and well structured code.
• Any other duties needed to help drive to our vision, fulfill our mission, and abide by our organization’s values