Remote Software engineering Jobs • NLP

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.

The Institutional Data Initiative (IDI) seeks a Principal Engineer to develop and deploy repeatable methods and pipelines, think creatively about extracting and manipulating data, and unlock knowledge collections. The role involves researching and evaluating machine learning models and natural language processing techniques. It also includes contributing to open-source software and providing technical leadership.

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.

As a Machine Learning Engineering Manager at Fieldguide, you will combine your expertise in ML and generative AI with strong people leadership to drive our most critical AI initiatives. You’ll directly manage a team of ~5 machine learning engineers working across multiple product teams, guiding them in delivering first-of-their-kind ML features for the audit and advisory industry.

As a Staff Machine Learning Engineer, you will lead the development of next-generation AI-driven features, transforming the audit and advisory industry through cutting-edge generative AI solutions. You’ll focus on applying advanced ML and LLMs to solve complex problems for our customers, while guiding the technical direction of our ML team in a high-growth startup environment. This role is both strategic and hands-on, setting best practices for our generative AI efforts.

As a Senior LLM & AI Engineer, you’ll lead the design, deployment, and optimization of AI-powered applications that incorporate large language models (LLMs). You’ll collaborate across technical and business teams to deliver innovative, scalable solutions while contributing to best practices in MLOps and AIOps. You’ll help steer responsible AI use and stay ahead of emerging trends to guide platform evolution.

Build product features powered by machine learning on top of unique, proprietary datasets. The core of this data is an ever-growing set of “expert interviews” – primary research conversations between financial analysts and domain experts, arranged by AlphaSense, who discuss the ins-and-outs of a particular company’s business. Because so much of this data is unstructured text, work will lean heavily towards NLP and large language models.

You’ll be part of a team that will design and implement the backend and intelligence layer of our AI-managed merchant network. This isn’t a forum plugin or a skin on top of a chat app. We’re designing a social fabric from scratch: matching merchants based on complementary offerings, shared pain points, and potential collaborations, then giving them the tools to grow together.

Support the implementation of AI-based solutions within the organization, from experimentation to the development of scalable products. Work with AI solutions and Chatbots. Develop in Python.

Develop AI-powered digital twins and intelligent assistants. Utilize LangChain for conversational AI and Gradio for UI development. Design models for real-time interaction and personalization. Research and integrate memory and contextual learning mechanisms.