Remote Software engineering Jobs · PyTorch

• Design, develop, and implement novel machine learning models and algorithms tailored to specific challenges.
• Engineer and deploy ML models into production environments, ensuring they are robust and scalable.
• Develop and maintain MLOps infrastructure for model versioning, continuous integration/delivery, and automated monitoring.

Lead the development and deployment of advanced AI models and systems. Oversee software development teams (30+ engineers) across multiple product lines. Coach and develop talent and foster a culture of excellence.

• Lead the development of advanced offline perception systems that generate high-quality annotations from sensor data.
• Design, implement, and deploy object detection, tracking, and fusion algorithms.
• Manage the full lifecycle of data preparation and curation, ensuring robust, scalable machine learning workflows.

• Own the architecture, training, and deployment of the models that power our core product.
• Write production code, defining our alignment strategy, and shipping features used by millions of users globally.
• Build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.

Design, implement, and optimize machine learning and computer vision algorithms for livestock management. Collaborate with cross-functional teams to integrate algorithms into production systems. Research and apply the latest computer vision and machine learning techniques to improve system performance.

Lead the development and deployment of large-scale generative AI and LLM solutions. Manage and mentor a small AI engineering team while remaining hands-on in coding and model fine-tuning. Shape the architecture and performance of products used by millions of users globally.

This role requires a builder to take the helm of our LLM team and own the architecture, training, and deployment of the models that power our core product. You will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. The role operates in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability.

Drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. Craft complex AI processing architectures and hands-on data/backend engineering.

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices. Select, implement, and develop the most appropriate method for each problem. Enhance internal deep learning and machine learning tools to boost team efficiency. Support client-facing projects to understand and shape the impact of Beacon algorithms.

Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Train and customize diffusion models using LoRA, DreamBooth, and other parameter-efficient methods. Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation. Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.