Remote Software engineering Jobs • PyTorch

As an Applied AI Engineer, research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to customers. Work directly with customers to understand their business and technical needs. Design and deliver AI solutions, either by leveraging Snorkel Flow or developing custom approaches when needed. This position is ideal for someone who enjoys solving complex problems, working directly with customers.

Be a hands-on technical leader who helps shape the future of our machine learning systems. This is a high-impact role, entailing strategic responsibility in determining the company's Machine Learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features.

Advance ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. Contribute directly to the continuous improvement of ML models, working to maximize impact and align with evolving business needs. Architect, build, and optimize ML systems, develop and deploy robust ML models that deliver high-impact results for real-world applications.

This role involves leading end-to-end Ads initiatives, driving architectural decisions, mentoring peers, and tackling complex technical challenges in enhancing Reddit’s advertising platform with privacy-enhancing technologies and probabilistic user matching. You will be working with engineers, product managers, data scientists, and ads specialists.

As a Staff Machine Learning Engineer, Multimodal Modeling, you will lead the advancement of our core embedding-based retrieval systems, with a primary focus on the scientific aspects of modeling. This includes fine-tuning and extending multimodal models (e.g., CLIP, SigLIP) to improve performance, generalization, and cross-modal alignment. You’ll work on unifying text and image representations, improving model performance, and ensuring extensibility across evolving product use cases.

Metalenz is developing next-generation sensing systems for consumer electronics with metasurface technology. As a Software Engineer, you will help develop computer vision and image processing algorithms to work with our engineered meta-optic camera systems. A successful candidate will be able to implement existing and new computer vision algorithms for 3D scene reconstruction, segmentation, and biometric tasks.

Develop core data products leveraging and adapting multi-modal foundation models via fine-tuning, retrieval-augmented generation, in-context learning, continual pre-training, and knowledge distillation. Contribute to large-scale mining workflows that surface rare objects, model errors & long-tail events. Conduct statistical analysis of model performance and generalization in complex and diverse driving scenarios

Seeking an experienced Deep Learning/AI Engineer to contribute to the development of advanced AI systems and deep learning algorithms. As part of our team, you will have the opportunity to work on innovative projects that enhance Zimperium’s threat detection capabilities and contribute to mobile cybersecurity. You will be responsible for creating AI agents powered by large language models (LLMs) and designing and implementing deep learning algorithms that can analyze and predict cyber threats and improve app analysis systems.

As a Senior Solutions Architect, you will serve as a technical partner to the success and sales teams, performing architecture reviews, proof of concepts, demos, uncovering customer technical needs, and demonstrating DigitalOcean's value proposition. You will help retain large customers and expand their workloads on DigitalOcean.

Support the development and enhancement of our AI-powered solutions and contribute to Sprinto's AI infrastructure. Assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies. Working alongside experienced engineers, data scientists, and product teams, you'll help create efficient data pipelines and developer tools that enable innovative AI-driven solutions