Intuition Machines

Intuition Machines is a leading company in the field of Privacy Preserving AI/ML. They specialize in turning AI/ML research into platforms and services that prioritize user privacy. Their products, including hCaptcha.com, are widely used and have a sig...

Life Sciences Tools & Services

Health Care

51-250 (75)

14 open positions

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Senior/Lead ML Applied Scientist

4 months, 2 weeks ago

Canada, Austria, Croatia, Italy, Poland, Romania

Contract

Lead

Machine Learning Engineer

Software Development

Machine Learning Statistics

Apply Now

Intuition Machines

Life Sciences Tools & Services

51-250

View All Jobs 14

Description

Design, implement, and scale machine learning systems that power the company's products.
Build ML models that can handle millions of requests per second while maintaining performance.
Translate business requirements into technical specifications.
Develop and debug ML models within memory and compute constraints.
Evaluate models rigorously and improve them based on results.
Provide technical mentorship to other ML research engineers.
Iterate quickly to ship new products and features early and often.
Write maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Participate in code reviews and architecture and design sessions.
Stay current on recent technological developments and assess their applicability.
Provide technical input to the research roadmap.

Requirements

5+ years of professional experience in applied machine learning.
Experience with the full modeling lifecycle, including building, evaluating, and debugging large ML models.
Experience working with large-scale categorical and structured data.
Expertise in real-time ML models, incremental learning, and online learning.
Strong understanding of machine learning fundamentals, including bias-variance tradeoffs, loss functions, and evaluation metrics.
Bachelor’s degree in a technical field or equivalent practical experience.
Ability to make technical decisions independently and work in a self-directed manner.
Strong grasp of the mathematics required for machine learning, including linear algebra, probability theory, statistics, and matrix calculus (nice to have).
Software engineering experience with large-scale distributed systems (nice to have).
Ability to collaborate with ML engineers to integrate work into infrastructure, including observability, deployment, quality, and security automation (nice to have).
Pre-employment screening is required, including verification of work history, education, and identity, plus an in-person interview and identity verification in the candidate’s country of residence.

Benefits

Fully remote position with flexible working hours.
A globally distributed team of colleagues.
Modern development and deployment workflows with an emphasis on shipping early and often.
High-impact work with lots of users, happy customers, high growth, and cutting-edge R&D.
Flat organization with direct interaction with customer teams.
Inclusive environment committed to equality of opportunity.

Interested in this position?

Apply directly on the company website

Apply Now

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