Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. The work ensures models are not only intelligent, but also safe, trustworthy, and impactful at scale. 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.
You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. You'll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. You will own the development and maintenance of core functionalities within ML applications.
Come join Karat's Interview Engineer Community! As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises.
Manages employees performing engineering and technical activities in the area of low-level, embedded software engineering. Develops and executes project and process plans, implements policies and procedures and sets operational goals. Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements.
Set the vision for Machine Learning and AI at Affirm and hire world class Machine Learning modelers, Platform and Software engineers to execute on that vision. Take ownership of our core model development lifecycle and business outcomes across our established verticals – underwriting, fraud, servicing, personalization. Work closely with product and business leadership to champion AI adoption in both existing and new products.
Design and implement systems that coordinate large language models with real-world tasks, advancing the intelligence at the heart of our platform. Collaborate with our AI, Engineering and Security teams to create novel prompting strategies, build orchestration layers, and deliver production-ready systems in TypeScript. This role is for someone who thrives in a fast-moving, research-driven environment.
As an Engineering Manager, you'll advance our engineering strategy, mentor high-performing teams, and partner cross-functionally to deliver solutions that directly improve the lives of millions. Grow one or more engineering teams focused on critical areas of our virtual care platform. Guide technical strategy and architecture decisions that ensure scalability, performance, and progress.
Shape how artificial intelligence transforms legal work by leading the development of our cutting-edge AI platform. Be the technical cornerstone of our AI initiatives, working directly with our CTO and founding data engineer to architect systems that push the boundaries of what's possible with LLMs in the legal domain.