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Top Remote Senior Level Machine Learning Jobs in Boise, ID
The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.
The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.
The Senior Staff AI Scientist will collaborate with subject matter experts to develop AI solutions, oversee data management, and mentor Data Scientists. Responsibilities include designing and deploying advanced AI solutions, ensuring high-quality data access, and fostering a culture of continuous learning within the team.
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
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.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
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.
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.
Top remote Companies in Boise, ID Hiring Data + Analytics Roles
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