for developing and managing the machine learning modeling infrastructure, scalable real-time ML inference solutions in low-latency... setting, and data transformation and engineering solutions to compute ML model features. This role also needs to continue...
machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits... focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural...
metrics) via online experimentation, ML modeling, simulation, and online feedback. As an SDE on this team..., you will be responsible for developing and managing the machine learning modeling infrastructure, scalable real-time ML inference solutions in...
the Consumer, ML, Ads, Safety surfaces for Reddit. What you'll do Own the design & evolution of our Core Systems...
to be talking to us! The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers... to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers...
to invent, build and try ML-based approaches to iterate on what works best. BASIC QUALIFICATIONS - 3+ years of data...
. Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU...
, personalized, and adaptive. We're looking for someone who is passionate about solving problems with distributed computing, ML, data..., sub millisecond request serving, real time forecasting, experimentation & ML modeling. If you're interested in being...
), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data...
Notebooks) for providing an effective model development platform for data scientists and ML engineers that integrates... such as Spark, EMR, Ray Experience and interest in ML model architectures, linear or logistic regression, Gradient Boosted Trees...
of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem..., and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined...
include the Data Science org, the Engineering org (both Infra and Product teams), and the ML org, amongst many..., Engineers, and ML Engineers to drive solutions Experience in two or more of the following areas: Data warehousing...
of experience addressing sophisticated ML problems, whether in a research setting or in product development. Strong written... practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture...
approaches and algorithms Able to build out ML pipeline from feature generation to model deployment Able to prioritize duties...
and maintaining machine learning models, extensive knowledge of ML concepts and frameworks (e.g. Random Forests, TensorFlow...
. This platform streamlines the productization of ML models by mitigating the incidental complexities involved in crafting backend... that may go beyond existing skills Design, document and implement reliable, testable and maintainable solutions ML...
of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem..., development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically...
to identify technical problem statements that impact clients’ AL/ML initiatives, and map issues and challenges to features...
Home Ranking is responsible for creating a personalized Home for every user via an ML ranking system...
for AI/ML purposes required 2-3 years of experience with the following GCP or equivalent cloud services: Cloud Storage... ecosystem, understanding of marketing metrics, and analytical products offered as a service is preferred GCP Data Engineer...