The SandboxAQ R&D team is looking for a PostDoc resident to help bring more AI to the domain of cybersecurity. A successful candidate will build models from scratch, fine tune existing ones, and run inference efficiently and design software systems around those models in close collaboration with our engineering department.
The DBA team is integral to the Software Architecture group, responsible for designing, testing, planning, implementing, protecting, operating, managing, and maintaining enterprise databases. You'll play a crucial role in ensuring the stability, scalability, and performance of our databases.
As a Staff Analytics Engineer, you will be an early member of the Data & Analytics team, building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Product, GTM, Finance, Support and other areas to build scalable solutions to transform data into key metrics, reporting, and insights.
Partner with Finance and Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions. Build a forecasting platform that can be used across Mercury.
Join Yelp’s Trust & Safety as a Machine Learning Engineer focused on infrastructure for the Spam team, which is responsible for Yelp’s review recommendation software. In this role, you will shape Yelp's ML infrastructure and contribute to core machine learning model development and experimentation to safeguard the authenticity & the integrity of a platform used by millions.
We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems, a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, collaborate with stakeholders, and apply advanced machine learning models to enhance device recognition.
As a Data Scientist at Coinbase, you will collaborate closely with Finance, Product, and Engineering teams to support cash flow processes and enhance decision-making; you will gather financial data from diverse sources, transform it into meaningful insights, and develop advanced data models and pipelines that drive analytics for understanding cash flows.
As a Data Scientist at Pythian, leverage your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models. Work on internal IP development and client projects, applying various techniques to solve complex business problems. Additionally, use and fine-tune pre-trained models, such as Large Language Models (LLMs), to accelerate development and enhance model performance.
Gusto is seeking a highly skilled and motivated Product Analyst with extensive experience to join their Data Science team, playing a crucial role in leveraging data to drive strategic decision-making and contribute to Gusto's overall success. The ideal candidate will possess a strong analytical mindset, top-notch SQL skills, dedication to well-documented and structured data, and a passion for applying data insights to help small businesses thrive.
ServiceNow is seeking an innovative and experienced Enterprise Search Architect to lead the next phase of AI powered search for our employee and customer-facing search capabilities. You will drive the design and implementation of scalable, intelligent, and high-performance search systems across our platform focusing on relevance, accuracy, personalization , and AI-enhanced discovery . You will bring expertise in modern search architecture, vector-based retrieval (e.g., RAG), traditional IR models, and enterprise search platforms.