Machine Learning Engineer

Joist AI(1 month ago)

RemoteFull TimeSenior$148,368 - $199,760 (estimated)Engineering

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.

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Required Skills

AI Model Development
Model Optimization
Agent Reasoning
ML Pipeline Development
Evaluation Frameworks
Monitoring Systems
Continuous Improvement
Technical Innovation
Cross-Functional Collaboration
Product Integration

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Qualifications

Degree in Computer Science, Mathematics, AI, or related technical field
5+ years of Machine Learning experience with recent focus on generative AI and autonomous agents
Strong expertise in deep learning frameworks (PyTorch or TensorFlow)
Hands-on experience with LLMs (OpenAI, Claude, Mistral, Llama) and diffusion models
Proficiency in Python
Deep understanding of RAG, embeddings, and vector databases (FAISS, Pinecone, Weaviate)
Experience with fine-tuning LLMs, prompt engineering, and reinforcement learning techniques
Proven track record building AI-driven applications with APIs, cloud platforms, and microservices

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.