Senior ML Engineer

RighteyeNorth Bethesda, Maryland, United States

30+ days ago

Job type

Full-time

Job description

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

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Ml Engineer • North Bethesda, Maryland, United States

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