- Lockheed Martin (Moorestown, NJ)
- …in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning \. As a key member of the Applied AI team, you'll ... a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible...signal processing, data science, artificial intelligence, and machine learning \. You possess: A strong foundation… more
- Chewy (Bellevue, WA)
- …insights and recommendations. **What You'll Need:** + 7+ years of experience in applied machine learning , data science, or ML engineering, with at least ... at Chewy. At Chewy, we are seeking a **Staff Machine Learning Engineer** to serve as a...across the organization. You'll partner closely with product engineering, data science, and leadership to ensure our models and… more
- Realtor (Austin, TX)
- …mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong ... through expert guidance. **What You'll Do** As a Staff Machine Learning Engineer, you'll take a leadership...revenue growth. + Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization.… more
- Amazon (Seattle, WA)
- …and evaluate technical feasibility. * Work closely with Applied scientists to process massive data , scale machine learning models while optimizing. A day in ... looking for a passionate, talented, and inventive Sr. Software Development Engineer(Sr. SDE)/ Machine Learning Engineer(MLE) to play pivotal role in the… more
- pony.ai (Fremont, CA)
- …Responsibility + Lead the development, optimization and productionization of the machine learning platform + Improve the scalability and efficiency of the ... building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipeline + Familiar with parallel /… more
- Intuit (Mountain View, CA)
- …NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). + Basic knowledge of machine learning techniques (ie classification, regression, and clustering). + Understand ... machine learning principles (training, validation, etc.) +...and technical material to non-technical users **How you will lead ** + Discover data sources, get access… more
- Warner Bros. Discovery (San Francisco, CA)
- …+ Design and lead the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles ... a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding and classifications . You… more
- Amazon (Austin, TX)
- …in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class ... businesses in 190 countries around the world. We have data center locations in the US, Europe, Singapore, and...(System on Chip) live at the heart of AWS Machine Learning servers. As a member of… more
- Robert Half Technology (San Francisco, CA)
- Description We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven ... on building scalable systems and production-ready machine learning pipelines that transform raw data into...machine learning pipelines that transform raw data into actionable insights. If you have a strong… more
- Palo Alto Networks (Santa Clara, CA)
- …us ahead of sophisticated adversaries. **Your Impact** + AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. ... of experience in a research or engineering role, demonstrated experience in leading machine learning projects in malware domain or detection systems, including a… more
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