Senior Machine Learning Engineer

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Senior Machine Learning Engineer

Jobot

Richmond

5+ years

Today

$34.9K–45.8K/yr

Full-time

Remote

Skills Required

Gen AI

Machine Learning

AI/ML infrastructure

Python

GitHub

knowledge graphs

Description

Fully remote role at a well-funded AI startup building a greenfield platform. Focused on advanced AI/ML infrastructure and Generative AI for complex document corpora.

Company: Jobot

Role: Senior Machine Learning Engineer

Location: Richmond, VA, US (Remote)

Experience

• 5+ years of experience in machine learning and software development
• Focus on AI/ML infrastructure
• Proven expertise in Generative AI
• Strong experience with modern version control systems
• Advanced knowledge of AI/ML model development, evaluation, and rapid iteration
• Strong problem-solving skills for scalable solutions
  
  

Responsibilities

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• Design and implement scalable machine learning infrastructure for data ingestion, processing, and interpretation
• Architect robust systems that accommodate various encoded rules and ensure accuracy and compliance in AI/ML outputs
• Develop machine learning models in the context of knowledge graphs to improve interpretation of complex datasets
• Implement evaluation frameworks to assess model performance and iterate quickly based on feedback and results
• Integrate Generative AI into existing and new machine learning pipelines
• Work across frontend and backend teams to support rapid iteration and deployment of AI solutions
• Manage code repositories using modern version control practices
  
  

Additional Responsibilities

• Work extensively with complex document corpora
• Use modern AI/ML tools and Generative AI infrastructure
• Stay ahead of industry trends in Generative AI
• Push best practices in code quality
• Contribute to a high-energy, fast-paced startup environment
  
  

Nice To Have

• Meaningful equity
• Unlimited PTO
• WFH stipend
• Competitive compensation
• Excellent benefits
• Cutting-edge project
• Fully remote
  
  

More Skills

Software development, Cross-language collaboration, Codebase management, AI/ML model development, Model evaluation, Rapid iteration, Machine learning pipelines, Ingestion, Processing, Interpretation of data, Encoded rules, Scalable system architecture

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