Intuition Machines is hiring a
Senior ML Engineer, Remote - Argentina
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Summary
Intuition Machines seeks a Machine Learning Engineer to build and deploy scalable multimodal ML models, mentor other engineers, and contribute to the technical roadmap. The ideal candidate has 5+ years of professional experience in ML, strong understanding of ML fundamentals, and excellent communication skills.
Requirements
- Thoughtful, conscientious, and self-directed individual
- 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
Responsibilities
- 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
Preferred Qualifications
- Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus)
- Software engineering/development experience with large-scale distributed systems
- Ability to collaborate with ML DevOps engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security
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
- We celebrate diversity and are committed to creating an inclusive environment for all members of our team
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