Intern Machine Learning Intern
Intuition Machines is hiring a remote Intern Machine Learning Intern. The career level for this job opening is Entry Level and is accepting Worldwide based applicants remotely. Read complete job description before applying.
Intuition Machines
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
We are seeking a Machine Learning Intern to work on applied computer vision pipelines across multiple products, leveraging the latest methods. The ideal candidate will do applied research, translate technical specifications into impactful solutions, and optimize against rigorous performance and quality constraints.
What you will do:
- Experiment with, implement, and evaluate ML models in the visual domain, along with other computer vision approaches.
- Iterate quickly, focusing on early and frequent deployment.
- 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.
What we are looking for:
- Thoughtful, conscientious, and self-directed individual.
- Strong knowledge of computer vision.
- Solid Python programming experience.
- Experience with at least 2 of:
- applying ML to computer vision problems
- fine-tuning generative vision models
- creative coding and developing generative algorithms
- prompt engineering (for language and vision models)
- Understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
- Bachelor's Degree or an equivalent in a STEM field from an accredited college or university, or equivalent job experience.
- Excellent communication, listening, and presentation skills to engage with diverse audiences.
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.
- Ability to collaborate with ML DevOps engineers to integrate your work into infrastructure, including automating observability, deployment, quality, and security.
What we offer:
- Fully remote position with flexible working hours.
- An inspiring team of colleagues spread all over the world.
- Mentoring and support in learning advanced ML, computer vision, and cybersecurity methods.
- 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.