44 results
FiltersDrive 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.
This role is ideal for a highly skilled AI/ML professional specializing in computer vision and advanced machine learning techniques. You will develop and deploy state-of-the-art models to solve complex real-world problems, working with large-scale datasets and cutting-edge AI technologies. The position offers the opportunity to collaborate closely with cross-functional teams, lead technical initiatives, and mentor other engineers in a fast-paced, innovative environment.
This role involves designing and deploying advanced generative AI solutions across text, image, and video modalities, at the intersection of engineering and AI product development, building scalable pipelines, integrating state-of-the-art models, and optimizing performance and cost in production environments, collaborating closely with product, engineering, and design teams to bring creative and technically complex ideas to life.
We are seeking a highly skilled Machine Learning Engineer focused on MLOps to bridge the gap between model research and real-world application. Your primary responsibility will be to design, build, and maintain the robust, scalable infrastructure and pipelines required to deploy, monitor, and manage machine learning models in production environments.
We are seeking a Senior Staff AI/ML Engineer to join our dynamic team and take a leading role in developing cutting-edge AI and machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in a production environment, ensuring they deliver value and performance at scale. You will collaborate closely with data scientists, engineers, and product teams to implement state-of-the-art solutions that power our products and services through continuous innovation.
Design, fine-tune, and deploy AI models and intelligent agent-based products. Create and integrate AI-powered workflows that deliver measurable results for clients. Define the engineering vision and roadmap, aligning technical direction with business goals. Ensure privacy, responsible AI use, and enterprise security standards are met.
We are seeking a highly skilled Senior Software Engineer specializing in Machine Learning, with a focus on Natural Language Processing (NLP), to join our dynamic team. The ideal candidate will play a pivotal role in understanding business objectives and leveraging machine learning models to meet these goals effectively. This position requires a blend of expertise in data science and software engineering, along with a passion for staying at the forefront of machine learning advancements.
As a Senior Machine Learning Engineer you'll shape how creators and consumers connect in more dynamic and intelligent ways by integrating foundational models to crafting feedback loops for real-time interactivity. This is a product-oriented role where you’ll spend time understanding roadmaps and advising leadership on the trade-offs of implementing ML solutions.