Senior ML Engineer

Company Description

HarmonEyes unleashes the power of eye-tracking & AI in two revolutionary ways:

1. 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.
2. 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