Hiring Machine Learning Engineers at AirMatrix!

Flexible/Remote: Mostly remote with occasional in-office collaboration.

At AirMatrix, we are driving innovation with advanced machine learning solutions that power our airspace monitoring and analytics platform. Our AI deployments provide real-time detection, classification, and actionable insights into airspace activities, including drone operations. As a Machine Learning Engineer, you will be instrumental in designing, developing, and deploying models that enhance our platform. You’ll work with large datasets, optimize computer vision models, fine-tune our large language models (LLMs), and integrate these models into our products.

Why AirMatrix?

Embrace a culture of innovation and continuous learning. Collaborate in an environment where creativity flourishes. Competitive compensation and benefits.

What We Seek:

We’re looking for self-driven individuals who excel at building prototypes, improvising, and adapting. While expertise is valued, a strong potential and drive to grow are paramount.

Responsibilities:

Data Processing & Preprocessing: Handle and prepare large datasets for machine learning by cleaning, transforming, and augmenting data to ensure high-quality inputs for model training.
Model Development: Design, build, and optimize computer vision models and large language models (LLMs) tailored for specific use cases, applying strong problem-solving and critical thinking skills to address complex challenges.
Deployment & Scaling: Deploy machine learning models on AWS, utilizing cloud resources effectively. Use Docker to containerize applications, ensuring robust and scalable production environments.
Integration: Integrate models and systems, ensuring seamless operation within our platform while thinking critically about system performance and user experience.
Research & Implementation: Stay updated with the latest AI research, review academic papers, and implement novel techniques to continuously improve and innovate our machine learning solutions.

Minimum Requirements:

Data Processing: Strong skills in data preprocessing using tools like Pandas, NumPy, and data augmentation libraries.
Machine Learning Expertise: Proficiency in building and optimizing computer vision models using TensorFlow or PyTorch, and experience with fine-tuning large language models (LLMs) like GPT, BERT, Llama.
Cloud Experience: Hands-on experience with AWS services such as S3, EC2, SageMaker, Lambda.
Containerization: Proficiency in Docker for containerizing machine learning applications..
Integration Tools: Experience with integrating machine learning models into larger systems.
Research-Oriented Mindset: Ability to review and implement techniques from the latest AI research using tools like ArXiv, Papers with Code to stay current with state-of-the-art advancements.

A thirst for learning, contribution, and collaboration. If you’re an engineer with a knack for problem-solving, we want to connect with you!

Send your resume and GitHub portfolio to career@airmatrix.io.

AirMatrix jobs

Machine Learning Engineer