Joist AI

Machine Learning Engineer

Joist AI

3 months ago
Remote
Full Time
Senior
0 applicants
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Joist AI
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About this role

A Machine Learning Engineer at Joist AI is responsible for developing and deploying advanced generative AI applications that enable autonomous decision-making and action execution within complex workflows. This role involves optimizing large language models, creating robust ML systems, and implementing evaluation frameworks to enhance performance and scalability. The engineer will also collaborate cross-functionally with product and engineering teams, contribute to technical innovation, and mentor junior engineers while staying updated on cutting-edge AI advancements.

Skills

Qualifications

Degree in Computer Science, Mathematics, AI, or related technical field5+ years of Machine Learning experience with recent focus on generative AI and autonomous agentsStrong expertise in deep learning frameworks (PyTorch or TensorFlow)Hands-on experience with LLMs (OpenAI, Claude, Mistral, Llama) and diffusion modelsProficiency in Python
Joist AI

About Joist AI

www.joist.ai

Joist AI is a content enablement platform tailored specifically for architecture, engineering, and construction (AEC) firms, facilitating the proposal creation process through innovative AI technology. By streamlining workflow and automating the proposal management, Joist AI allows marketing teams to efficiently respond to RFx requests while enhancing collaboration and content curation. The platform emphasizes productivity, helping teams create high-quality proposals faster and with less effort, ultimately improving win rates and profitability in project pursuits.

About Joist AI

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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