Senior ML Engineer

Job not on LinkedIn

July 2

🦀 Maryland – Remote

Although this job is listed in Maryland, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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RightEye

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Healthcare Insurance • Education • Sports

RightEye is a company that specializes in advanced eye-tracking technology to enhance various fields such as eye care, rehabilitation, education, and sports. They offer products like the RightEye Sensorimotor System, an automated eye exam tool that helps eye care providers identify and address visual tracking impairments. Their technology is supported by over 30 years of scientific research and is used to improve patient care, educational outcomes, and athletic performance. RightEye's solutions also extend to eye-tracking data licensing, aimed at integrating such data with AR/VR applications.

11 - 50 employees

⚕️ Healthcare Insurance

📚 Education

⚽ Sports

💰 $1M Debt Financing on 2020-03

📋 Description

• Develop new ML algorithms: Use advanced ML algorithms and techniques to maximize our predictive capacity • Architecting models : design models to solve complex real-time problems • Quick iteration on Model Development: Quickly test and verify new ideas, and be able to come up with new ideas when they fail • Data exploration and analysis: perform in-depth analysis of our data to contextualize the machine learning • Design and documentation: perform detailed technical design for new products/features and documentation of architecture and code. • SDLC: be an active part of the development lifecycle. Collaborate with team members, perform code reviews, and improve CI/CD process. • Security, Quality, and Maintainability: ability to look at current codebase and understand measures beyond the functional requirements that produce a highly polished product.

🎯 Requirements

• Foundational knowledge of machine learning techniques and concepts • 5+ years of developing machine learning algorithms and architecting models • Ability to design models and algorithms for different production environments (edge devices, cloud, CPU, GPU, etc.) • Fluent in Python and SQL • Deep understanding of common ML APIs/Frameworks: pytorch, tensorflow, scikit • Knowledge of data orchestration tools such (airflow, cosmos, dagster, etc.)