…Proficiency deploying applications on cloud platforms (AWS, GCP, or equivalent) using Kubernetes and Docker. BS in Computer Science, Machine Learning, Artificial Intelligence, Data Science…

…Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or…

…We are seeking an Sr. Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial…

…Site Reliability Engineering (SRE) Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization. Support production ML systems using MLOps tools and operational…

…or certification on software engineering concepts and 3+ years applied experience Hands-on experience in software engineering, system design, application development, testing, and operational…

…Basic Qualifications Employer will accept a Bachelor's degree in Computer Science, Statistics, Economics, Engineering, or related field, followed by 5 years of progressive…

…Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Materials Science, or related technical discipline 5+ years of hands-on experience owning and…

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including…

…If you are passionate about building backend systems, curious about machine learning, enjoy working alongside equally driven colleagues, and are an experienced engineer looking…

…Our engineering team delivers custom, internal software solutions that accelerate the collection and delivery of machine learning data. Our data collection clients include multiple…

…MS/PhD degree in Computer Science, Machine Learning, AI, or a related fields. Ownership mindset with the flexibility to take on whatever tasks—including…

…SQL, OLTP/OLAP/DSS ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, HPO ) [Desired] Degree in a quantitative discipline (Computer Science, Applied…

Scaling machine learning workloads across thousands of GPUs and TPUs creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies…

…You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of…

…years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming…

…We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within…

…We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world…

…lifecycle of successfully launched applications experience - Knowledge of databases and AWS database services: ElasticSearch, Redshift, DynamoDB - Experience with machine learning (ML) tools and methods…

…Sr. Applied Scientist to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Software Engineers, Machine…

…Content Designers) and cross-functional partners such as Product Managers, Machine Learning and Engineering leads within an agile environment. Ability to advocate for conversation…

…Exposure to AI and machine learning in a security context, AI-driven detection and analytics, agentic automation, or securing and governing AI systems and…

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including…

…As a member of the Starlink Tooling and Automation team you will work with elite engineers on high impact applications to create the factory…

…Experience partnering with Applied Scientists or Machine Learning engineers to bring ML capabilities into production. Familiarity with evaluation frameworks, experimentation, and quality frameworks for…

…optimize data generation and collection process, allowing ML engineers to efficiently evaluate and train machine learning models. You should love to take on challenges…