Top Remote Machine Learning Jobs in Raleigh, NC
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
As a Machine Learning Engineer, you will design and develop AI and machine learning applications for clients, conducting experiments and collaborating with engineers to create scalable solutions while engaging in client-facing activities and staying updated on machine learning advancements.
As a Senior Data Scientist, you will lead the development of machine learning models to understand user engagement at Twitch, utilizing software engineering skills for model training, testing, deployment, and monitoring while providing insights on viewer behavior.
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As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
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