Acorns is seeking a Machine Learning Intern to help shape and optimize our AI-powered coding environment. In this role, you’ll play a key part in refining how developers interact with AI-generated code, improving its usability, and driving adoption within our engineering teams. You will develop and implement RAG models, explore vector databases, and research automated code generation tools.

You'll be at the forefront of creating autonomous systems that can reason, plan, and execute actions to solve real-world problems. Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans.

Lead development teams to ensure sprint commitments are met, fostering a collaborative environment for AI/ML exploration. Drive the design and implementation of AI solutions, establish AI testing and validation best practices, and provide clear direction on AI project scope. Mentor developers, improve delivery processes, and evaluate skills in recruiting interviews.

We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. You’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. You will design & deploy conversational / Multi-Agent LLM Solutions and Implement best practices around model lifecycle management.

Join Ketryx as an AI Engineer and help enhance and expand Ketryx Intelligence (KI), an AI-powered solution. Be part of a motivated team working at the intersection of artificial intelligence and medical software development. Help shape the future of how medical device teams interact with AI systems while ensuring compliance with regulatory requirements. Make significant contributions to our AI infrastructure and help medical device teams work more efficiently and safely.

Lead the design of AI solutions within the Microsoft Azure AI ecosystem, focusing on Microsoft Copilot, Copilot Studio, and Microsoft Fabric integration. Drive the adoption of cutting-edge AI technologies to enhance enterprise productivity and workflows as the AI Innovation & Automation Architect. Collaborate with sales teams to understand client requirements and design tailored solutions, addressing business and technical needs. This position requires travel to internal meetings as needed, up to 10%.

As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You’ll work directly with our customers to understand their business and technical needs, and design and deliver AI solutions, either by leveraging Snorkel Flow or developing custom approaches when needed.

Seeking a Senior Staff Engineer to lead complex projects and guide long-term technical strategy. You'll collaborate with leaders, build resilient systems, and evolve foundational building blocks behind AI-powered customer support. You will be designing and implementing significant portions of key backend systems and services that are reliable, performant, and scalable.

We are seeking a highly skilled AI Application Architect to lead the design and development of AI applications, including enterprise search and digital assistants. This role requires a deep understanding of search platform technologies, including expertise in data and context indexing. The ideal candidate will have experience orchestrating AI services and building microservice architectures that can scale to meet the needs of ServiceNow teams and customers.

Belong is looking for a full-stack engineer who operates at a 10X level—someone who can ship high-quality code fast, and who is driven by a deep curiosity for how AI will change the way we build software. You’ll be embedding AI at every level of the stack, from coding and deployment to user-facing features and autonomous workflows. The entire engineering process is transitioning into an AI-first approach.