Remote Software engineering Jobs • Deep Learning

The position involves simultaneous participation in computer vision projects, proposing vision research, evaluating new projects, contributing to service offers, and disseminating advances. Responsibilities include maintaining knowledge, attending seminars, and ensuring in-depth scientific watch activities in computer vision.

As a GenAI Optimization Engineer, you will design, scope, implement, and tune performance features for Generative AI use cases in the MAX framework. You will also plan and lead cross-functional projects spanning multiple teams and domains. You will also contribute to the MAX tech stack across multiple languages, including Mojo, Python, and C++.

As a Machine Learning Engineer on the research team, you will bring AI into the physical world and thrive at the intersection of theory and practical application. You will work with researchers, engineers, and customers to build, scale, and deploy intelligent systems.

Play a critical role in architecting and deploying large-scale, real-time, and accurate computer vision models. Work closely with research scientists, ML engineers, infrastructure teams, and operations to develop high-performance systems for license plate and vehicle detections.

This role is for a Research Engineer to join the Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

In this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

The role focuses on applied algorithms and engineering — using recent advances in DL/LLMs to develop new features and products. This role provides an opportunity to work on cutting-edge LLM technologies, deploy impactful solutions in production, and shape the future of AI-driven features and products at Gloass.ai.

The App Ads Team develops and maintains Machine Learning models for predictions regarding user conversions after engaging with Reddit, playing a crucial role in optimizing advertising effectiveness and driving business growth. This role involves developing advanced deep learning models, designing strategies for signal loss mitigation, and implementing new model architectures.