Senior ML Engineer

New Yesterday

Company Description
HarmonEyes unleashes the power of eye-tracking & AI in two revolutionary ways: Identify & predict the state of a person based on eye movements in real-time & deliver appropriate interventions to improve user experience and performance -> fatigue, cognitive load, motion sickness, reading comprehension and more. Universal compatibility for all eye-tracking sensors via an automated conversion engine -> build to a single, common eye-tracking data format without constant revalidation for new devices or firmware updates. Deployed via SDK plug-in on any device: VR/AR – Automotive/Aviation – Tablets/Phones - Monitors Additional Information
Your Role As a senior ML engineer, you will perform a wide range of machine learning and data science tasks including: • 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.
Must Have Skills • 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.)
Nice-to-have-skills: • Knowledge of MLOps building on AWS • Data Engineering and database management • Familiarity with Docker and containerization • Experience with sensor data, preferably eye-tracking • C++ and C# • Experience with Generative AI (LLMs, MCP, Agential orchestration)
This position reports directly to the Chief Product Officer. If you have a passion for learning and applying new software patterns and technology to solve problems, please apply. The ideal candidate should be a technologist and life-long student.
Please apply with: 1. Resume 2. GitHub profile/portfolio
Apply
Location:
Bethesda
Category:
Engineering

We found some similar jobs based on your search