workable
Senior/Lead ML Applied Scientist
Intuition Machines, Inc.
Remote, CAN
Contract
Senior · 5+ years experience
Remote
Discovered 3 weeks ago
Free
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What you will do:
- Build ML models that can scale to millions of requests per second while maintaining performance.
- Translate business requirements into technical specifications.
- Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively.
- Provide technical mentorship to other ML research engineers.
- Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
- Write clearly 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 roadmap.
What we are looking for:
5+ years of professional experience in applied ML.
Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models.
Experience with large-scale categorical and structured data.
Expertise in real-time ML models, incremental learning, and online learning.
Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
Bachelor’s degree in a technical field (or equivalent practical experience).
Thoughtful, self-directed individual who is comfortable making technical decisions independently.
Nice to Have:
Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus).
Software engineering/development experience with large-scale distributed systems.
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