We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. We do so by collaborating within data science and with cross-functional partners to tackle sophisticated business proble
You’ll partner closely with analytics and data science teams to bring experimental models into production and with finance and operations partners to build explainable, self‑optimizing systems that make forecasts and insights transparent, actionable, and continuously learning. Experience buildin
The ideal candidate will have a strong background in machine learning, natural language processing, and computer vision, with experience in creating models akin to OpenAI's GPT series and reasoning models. Proficiency in programming languages such as Python, and experience with machine learning fram
Contact-volume forecasting: data pipelines, statistical/ML models and inference services that predict ticket volumes, agent demand and time to resolution. What we build on Forecasting & Scheduling. Queueing simulation: realistic models of synchronous (phone, chat) and asynchronous (email, messaging)
Senior Machine Learning Modeler, Advanced Insights & Modeling. Deep expertise in forecasting, predictive modeling, and value estimation, including statistical and ML‑based methods. Join Block as a Senior Machine Learning Modeler, Advanced Insights & Modeling.
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI. As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. Our products provide the high-quality data and full-stack technologies that power t
As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For
A tech company located in California seeks a Data Scientist who will analyze complex datasets and develop machine learning models. Responsibilities include data analysis, creating visualizations, and conducting A/B tests. A strong foundation in data science and proven skills in model development are
Applied Data Science & Machine Learning Leader - Global Forecasting. We’re looking for a hands‑on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up. A passion for AI and a st
We’re looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip’s foundation model for manufacturing and CAD. Staff Machine Learning Data Engineer. Join to apply for the Staff Machine Learning Data Engineer role at Backflip AI.
In short, you’ll turn first‑principles data science, neuroscience, cognitive science, and machine learning into a product that scales across industries. Machine Learning - Behavioral Modeling. Our team is building core systems in behavioral modeling, causal inference, forecasting, agentic platfo
Data Engineering, BI, Financial Services, DBT, Data Modeling, SQL, Redshift, Snowflake, Trino, BI Tools, Tableau, Version Controlling via GIT. Engineers on the Data Operations team bring a pragmatic approach to building robust, efficient, and well-documented data models. Your role will require a dee
Solid foundation in machine learning, deep learning, and optimization algorithms. We are seeking a Machine Learning Engineer to join the core R&D team of TRAE, responsible for model training, optimization, quantization, and deployment. Design, train, and fine‑tune large language models (LLMs) that
Strong foundation in computer vision, including experience with deep learning–based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. Hands-on experience developing machine learning models using frameworks such