Intuition Machines
Machine learning products and services at scale$1. .$1
machine learning and AI
51 - 200
Senior ML Engineer
June 28
Intuition Machines
Machine learning products and services at scale$1. .$1
machine learning and AI
51 - 200
Description
• Implement, fine-tune, and evaluate the latest LLMs, large vision models, and multimodal approaches • Clearly present the results of your experiments, including standard metrics and business goal evaluations • Implement and deploy solutions iteratively: from POC to MVP to full-scale production • Translate business requirements into technical specifications for language, vision, or multimodal solutions • Provide technical mentorship to other ML engineers and researchers • Iterate quickly, focusing on early and frequent deployment to ensure new products or features reach millions of users • Write well-structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests • Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability • Provide technical input to the research and engineering roadmap
Requirements
• 5+ years of professional experience in ML • Proven experience with the entire modeling lifecycle: building, evaluating, debugging, and productionalizing large ML models • Strong experience with fine-tuning and deploying LLMs and large vision models • Experience with generative vision and language models • Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc. • Bachelor's Degree or an equivalent in a technical or related field from an accredited college or university, or equivalent job experience • Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers
Benefits
• Fully remote position with flexible working hours • An inspiring team of colleagues spread all over the world • Pleasant, modern development and deployment workflows: ship early, ship often • High impact: lots of users, happy customers, high growth, and cutting edge R&D • Flat organization, direct interaction with customer teams
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