Working Student generative AI/ML

at  Recogni

ABOUT RECOGNI

Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different environments with the ability to quickly learn and then solve complex problems. Recogni is a system solution company that specializes in the design of industry-leading high-performance, low-power AI inferencing. Our mission is to enable multimodal Generative AI inference acceleration at scale by providing safe, sustainable, high-performance AI-driven solutions for many markets. We are at the leading edge of advancing the latest research and product improvements for Al inference solutions that will make Al even more advantageous for compelling new applications. Recogni is a well funded, fast-paced startup company with headquarters in both San Jose, CA, and Munich, Germany. We also have many talented team members working remotely. We prioritize our employees’ well-being and their families, aiming for a healthier, happier life inside and outside work. We value their contributions and offer tailored benefits for health and financial security, catering to different life stages. Our comprehensive benefits and competitive compensation, including flexible spending and Bonusly awards, reflect our commitment to a supportive and inspiring work environment.

QUALIFICATIONS

• Currently enrolled in Masters degree in Electrical Engineering, Robotics, Computer Science or AI-related studies
• An understanding of modern deep learning models and methodologies. Familiarity with DNN hardware acceleration or model compression techniques like low-precision quantization is a plus.
• Practical experience in developing AI applications through internships, projects, private work or other engagements. Experience with generative AI preferred
• Ability to quickly extract relevant information from publications in our field
• Familiar with most of the following tech stack:
• Pytorch
• Python
• Git

ABOUT THE ROLE

Joining our team gives you the opportunity to learn a broad range of topics around Generative AI models such as LLMs and multi-modal models for videos, images, and speech. Just like every other member in the team, you’ll work on a feature towards blazingly fast and accurate inference on our in-house developed hardware. Being a working student with Recogni will support you in gaining knowledge and experience in a young, dynamic and highly innovative work environment.
This role is tailored to 20h/week and is on-site in our Munich office. Ideally, we will publish the results of your work as a blog post or conference paper.
The specific duties and responsibilities of this role will be aligned with our business needs and your personal interests, but would be among the following fields:

RESPONSIBILITIES

• Conceptualize, develop and release features to quantize and deploy genAI models on our in-house inference chip
• Dive deep into model architectures to understand their nuances and uncover edge cases in model conversion
• Study the effect of quantization on model performance and fine-tune hyperparameters for optimal accuracy
• Add additional modalities to our model zoo of versatile generative models
• Release and report your features and results towards and in coordination with the AI team and the entire company
• Pro-actively expand knowledge of our field through papers, blogs, meetups