Staff Computer Vision Engineer - Remote

Overview

The Staff Computer Vision Engineer will design and prototype advanced vision-language architectures, build training pipelines, manage datasets, and collaborate with a team to transition research into deployable services.

In Short

• Design and prototype vision-language architectures.
• Build end-to-end training pipelines on an in-house GPU cluster.
• Manage large-scale video-text datasets for model improvement.
• Create automated testing and benchmarking suites.
• Collaborate with a team to set technical direction.
• Work with robotics on vision-language applications.
• 5-7 years of experience in deep learning.
• Proven experience with multi-GPU training.
• Strong Python engineering skills.
• Comfortable working with large video datasets.

Requirements

• Experience in video computer vision or large-scale NLP.
• Familiarity with PyTorch and distributed training.
• Ability to curate and manage datasets.
• Effective communication skills in small teams.
• Direct experience with vision-language models is a plus.
• Publications or open-source contributions in multimodal learning are advantageous.
• Knowledge of cross-modal fusion techniques.
• Experience with synthetic captioning and RLHF.
• Experience in inference optimization.
• Interest in embodied AI projects.

Benefits

• Competitive salary and stock options.
• Remote work opportunity from anywhere in Europe.
• Option to work in a new office in Berlin.
• Hands-on experience in an AI-first software company.
• Supportive and inclusive culture that values diversity.
• Collaboration with a diverse and talented team.
• Networking opportunities with professionals in the field.
• Flat hierarchy and open feedback culture.
• Flexible working hours.
• Commitment to developing ethical AI software.