Working Student AI/ML
vor 3 Wochen
Are you excited to work on cutting-edge Generative AI models?
Joining our team gives you the opportunity to learn a broad range of topics around large language models as well as multi-modal models for videos, images, and speech. Just like every other member in the team, you'll have ownership over 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. Ideally, we will publish the results of your work as a blog post or conference paper etc.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
- 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
- GCP / AWS
- Ability to work effectively in a fast-paced, multi-disciplinary environment that innovates with passion. A successful candidate embraces challenges and is dedicated to continuous improvement and learning.
- Ground floor opportunity with the team; be part of shaping one of the most exciting new companies.
- Learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields, from Artificial Intelligence & Computer Vision to Systems & Device Engineering to Support & Operations
- Beautiful modern work space
- Perks including meals, snacks, drinks, gym etc.
- Sharp, motivated co-workers in a fun office environment
- Potential to join us after graduation and become a full time employee (incl. our Employee Stock Purchase plan)
- Put people first. We only succeed when our people succeed.
- Ethics and integrity always; Being open, honest, and respectful of everyone.
- Think Big. Be ambitious and have audacious goals.
- Aim for excellence. Quality and excellence count in everything we do.
- Own it and get it done. Results matter
- Make each person better together than they would be as an individual.
- Embrace each others' differences.
Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
A note to Recruitment Agencies: Please don't reach out to Recogni employees or leaders about our roles -- we've got it covered. We don't accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
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