Key responsibilities
- Work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving co-training, fine-tuning, and various special projects.
- Evaluate and improve the performance of our models on a variety of use cases (e.g., reasoning, code, RAG, tool use, agents) and across modalities (text, image, speech).
- Develop complex use cases with our customers, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
- Maintain a suite of technical packages, including scientific tooling design to help customers.
You may be a good fit if
- You are fluent in English
- You hold a PhD / master in AI / data science.
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You're experienced with building and deploying LLMs or NLP applications
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have strong technical coding skills in Python
- You have experience with deep learning with Pytorch
- You have experience with agents framework such as Langchain, vector DBs
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have
- Contributed to open-source projects in particular in the space of LLMs
- Hands-on experience with Generative AI (e.g., experience with transformer-based models) and a broad knowledge of the field of AI
- Publication record in AI or a related field
- Strong interest in pre-training fine-tuning and using language models for applications
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
Benefits
- π€ Competitive cash salary and equity
- π₯ Food : Daily lunch vouchers
- π₯ Sport : Monthly contribution to a Gympass subscription
- π΄ Transportation : Monthly contribution to a mobility pass
- π§ββοΈ Health : Full health insurance for you and your family
- πΌ Parental : Generous parental leave policy
- π Visa sponsorship
0 applies
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