Remotery

Machine Learning Intern, Autonomy

Posted Jul 18

This is a fully remote position, open to applicants in California.

📋 Description

• Conduct research and develop algorithms for image processing and computer vision focused on 2D and 3D scene segmentation.

• Create effective experiments and strategies to identify and analyze model performance challenges in long-tail scenarios.

• Investigate Deep Learning models and frameworks to enhance the performance capabilities of our existing system, including exploring approaches within the active learning domain.


⛳️ Requirements

• Enrollment in or completion of a degree program in Computer Science or a related discipline.

• Experience in working with machine learning systems, particularly in the realms of computer vision and deep learning.

• Proficiency in Python and familiarity with deep-learning frameworks like PyTorch.

• Strong attention to detail with the ability to work autonomously.

• A positive mindset and readiness to handle a variety of tasks as needed.


🏝️ Benefits

• Flexible work hours

• Subsidized lunches

• Collaborative and supportive environment

People also viewed

Docket5 hours ago

Junior Machine Learning Engineer

Anywhere in the WorldFull-timeMachine Learning Engineer
ApplyView job
BJAK5 hours ago

Senior Machine Learning Engineer

DE flagGermany OnlyFull-timeMachine Learning Engineer
ApplyView job
Oxford Instruments plc5 hours ago

Senior Machine Learning Software Engineer

GB flagUnited Kingdom OnlyFull-timeMachine Learning Engineer
ApplyView job
VIAFLOW®5 hours ago

Engenheira de Machine Learning Sênior

BR flagBrazil OnlyFull-timeMachine Learning Engineer
ApplyView job
Hire Hangar Global5 hours ago

Machine Learning Engineer

CO flagColombia OnlyFreelanceMachine Learning Engineer$2,500 – $4,000/month
ApplyView job
Grailed5 hours ago

Staff Machine Learning Engineer

US flagCalifornia, +1 more stateFull-timeMachine Learning Engineer$159k – $233.8k/year
ApplyView job

Never miss a great job!

Get handpicked remote jobs straight to your inbox weekly.

Trusted by 7,400+ designers