Overview:

As the product team, we are translating the latest research on language models into practical applications for our clients, including Fortune 2000 companies and the government. You will have a direct impact on the product and will work closely with scientists and engineers to deliver the best product possible.

Your responsibilities:

• Prototyping ideas and evaluating how they would fit into our product vision.

• Maintaining a balance between cutting-edge research and practical applications, producing deliverables and products that set industry benchmarks.

• Stay updated on the latest advancements in NLP and machine learning, ensuring our solutions remain at the forefront of technology.

• Model Development and Fine-tuning: Implement, refine, and fine-tune state-of-the-art model architectures, ensuring they perform in real-world scenarios.

• Documentation and Reporting: Maintain detailed records of AI experiments, findings, and methodologies, communicating complex insights to varied audiences.

Your profile:

• You care about making something people want. You want to ship something that will bring value to our users. You want to deliver AI solutions end-to-end and not end on building a prototype.

• Degree in Computer Science or a related field.

• Experience in production-izing AI research innovations into real-world applications.

• Familiarity with popular NLP tools and frameworks such as PyTorch or HF transformers.

• In-depth knowledge of transformer architectures.

• Experience with research organizations and structured work.

Nice if you have :

• Experience with automation of prompt engineering semantic search and multi-modal models.

• PhD in Computer Science or a related field.

• Publication track record.

What you can expect from us:

• Become part of an AI revolution

• 30 Days of paid vacation

• Flexible working hours

• Join a dynamic start-up and a rapidly growing team

• Work with international industry and science experts

• Take on responsibility and shape our company and technology

• Regular team events