…Ads ML Experimentation team is looking for a Senior ML Engineer to build the next generation of software platforms and systems to advance experimentation…

…This is hands-on engineering with direct business impact, not experimentation. Responsibilities: DESIGN AND DEPLOY AI-POWERED HR SOLUTIONS - Architect and build agentic workflows…

…It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That…

…The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers…

…The Architect is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts…

…senior leaders through concise narratives and practical visuals that connect analytical findings to business outcomes and recommended actions Measure outcomes through reporting and experimentation…

We seek a high-performing Senior Associate to help evolve our client onboarding and documentation platform as a strategic product. You will bridge product…

…Drive the entire development lifecycle—from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment. Raise the Bar: Mentor senior engineers…

…the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. Drive data engineering for business-critical applications, including dashboards…

…grow in engineering best practices, code quality, and experimentation mindset. - Create engineering best practices for CI/CD, automated testing, monitoring, and client performance across…

…senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product…

…This is a senior scientific leadership role at the intersection of research, product, and engineering . The Director will lead a team of applied scientists…

…to collaborate with a wide range of clients, from executives to engineers - Skills in creating experimental plans to iteratively develop Ai and GenAI solutions…

…Mentor engineers, set technical standards for ML infrastructure and MLOps practice, and partner closely with data scientists, data engineers, frontend engineers, product managers, Trust…

…The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact…

…Identify and champion opportunities to embed AI capabilities into products and adoption workflows—turning emerging AI technologies into practical, client-facing value. Leverage Data…

…the pace of experimentation, with opinions on prompting, agent review, and harness engineering. - Strong React Native, mobile, or client-side engineering background — or equivalent…

…You'll combine deep expertise in data engineering, analytics, and AI/ML with an understanding of the financial services landscape to translate complex challenges…

…Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI…

…We are seeking a Chicago-Based Senior Solution Engineer to solve customers' complex problems and drive large deal closures. This role combines technical expertise…

…from engineers to executives). A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated…

…Proven expertise and hands-on delivery of AI/ML in financial services Strong technical depth in GenAI/LLMs, prompt engineering, RAG architecture, fine-tuning…

…You will lead the strategy and execution to evolve our mature, highly adopted text analysis engine from classical ML/rules-based structures into a…

…Define OKRs and success metrics—response time, accuracy and quality, automation and deflection rates, risk reduction, and client satisfaction (CSAT)—and use experimentation and…

…Retrieval, context engineering, or AI memory systems. LLM infrastructure, model gateways, inference platforms, or AI developer platforms. AI observability, experimentation, safety, governance, or reliability…