Remote Software engineering Jobs • ML

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code that's scalable and reusable. Grow our business by finding new ways to personalize with AI/ML and simplify how employees and customers work.

We are seeking a talented and versatile Full Stack AI Engineer to join our team. The ideal candidate will have a strong foundation in both front-end and back-end development, AI and data science capabilities, and experience in orchestrating agents and workflows using tools like N8n. You will play a key role in designing and building intelligent, scalable solutions that bridge the gap between data engineering, user experience, and artificial intelligence.

As a Staff Machine Learning Engineer, you will spearhead our ML and AI product development, using your expertise to design, implement, and maintain sophisticated ML systems. You'll lead architecture, develop evaluation frameworks, and create novel product experiences, guiding others through technical leadership. Rigorous technical critique and effective communication of business impact are musts.

The Auto Labeling team at Stack develops large ML models to generate high-quality labeled data, essential for training and evaluating Stack's onboard perception models. The models leverage state-of-the-art multi-sensor fusion techniques, integrating data from lidars, cameras, radars, and IMUs. Significant design contributions and collaboration with onboard and offboard consumers of labeled data are expected.

Support the implementation of inference services and overall DC software stack, working mostly in Rust. You will build high-performance, optimized, Kubernetes-native solutions that will enable the future of generative AI. Design, implement, and maintain components of inference services in Rust and develop and maintain Kubernetes integrations, while collaborating with different teams to deliver better developer experience.

We're actively looking for a highly experienced Senior Staff AI Engineer to join our team. You will play a pivotal role in designing, building, and deploying cutting-edge AI systems that power mission-critical enterprise applications. This role is ideal for an individual who thrives in ambiguity, is deeply technical, and has a strong product sense paired with deep expertise in foundational models and enterprise AI systems.

At HackerOne, artificial intelligence is being combined with human intelligence to create security platforms so organizations and developers can create more secure software and defend against emerging threats. As a Software Engineer on the AI Platform team, you'll be at the forefront of developing AI-powered security solutions that protect organizations from emerging threats.

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.