The Interpretability team at Anthropic is working to reverse-engineer how trained models work because they believe that a mechanistic understanding is the most robust way to make advanced systems safe. They're looking for researchers and engineers to join their efforts, focusing on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. They are trying to do "biology" or "neuroscience" of neural networks using “microscopes” they build.
The Senior Machine Learning Engineer at Headspace will lead the development of complex, scalable AI models and applications from inception to production. You'll drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare, while also providing technical leadership and promoting high-quality code through engagement in code review.
As a Principal Engineer specializing in GenAI Agents, you'll be instrumental in advancing our company's mission to revolutionize the world of work. You'll be responsible for making strategic technical decisions that are sustainable, robust, and highly likely to succeed, accelerating our business, growth, and innovation trajectory, with a specific focus on leveraging Generative AI for intelligent agent development.
As a Software Engineer on the AI Transformation team, you’ll play a critical role in developing the internal tools, systems, and engines that will reshape how teams function and how the business evolves. You’ll work directly with the Chief AI Officer and AI Staff Engineer to explore, prototype, and deploy innovative solutions across departments — from operations to customer success.
Play a key role in designing, building, and maintaining AI-powered enterprise applications. Work closely with product managers, designers, and engineers to deliver innovative software solutions that solve high-stakes problems for our customers. The primary focus will be on Screens, an AI-powered contract review application, where cutting-edge techniques using LLMs, RAG, and AI agent frameworks are applied.
An experienced and impact-driven Engineering Manager is needed to lead a newly formed team focused on the reliability, robustness, and performance of our AI features and services. This team will play a critical role in ensuring our AI-powered features operate with high precision and consistency in production environments. You will be responsible for building and growing a team of engineers and analysts focused on data analysis, debugging, root-causing production issues, and figuring out the long tail of failures and corner cases across our AI stack.
As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region. This is a hybrid role based in Malaysia, combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.
Play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. Write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.
Immunefi is seeking a skilled and autonomous Machine Learning Engineer to enhance their capabilities in leveraging data and developing advanced AI agents. This role will involve working closely with data, designing machine learning structures, and contributing to the development and refinement of AI agents, particularly using Large Language Models (LLMs).
Enhance search capabilities through advanced NLP techniques. Process and analyze a diverse set of documents including text, tables and images. Design and implement entity extraction and text classification systems. Identify and model relationships between entities within and across different document types. Design and implement an efficient indexing structure to enable accurate and fast search capabilities. Design and conduct experiments to evaluate and improve NLP model performance. Develop and maintain language models tailored to the construction industry domain.