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Senior/Lead ML Applied Scientist

5 months, 1 week ago
Canada, Austria, Croatia, Italy, Poland, Romania
Contract
Lead
Machine Learning Engineer
Software Development
Machine Learning Statistics
Apply Now
Intuition Machines

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
51-250
View All Jobs 15

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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