TL;DR
Machine Learning Researcher (AI): Contributing to the development of foundation models for structured data with an accent on algorithms, evaluation, active learning and training data optimisation. Focus on translating research into business impact and stay current with the latest ML advancements.
Location: Although preference is for in-person collaboration, the company will be flexible with occasional remote work arrangements.
Salary: € 80-100k/year
Company
Neuralk is a deep-tech company building the next generation of Foundation Models for Data Science.
What you will do
- Contribute to the development of foundation models for structured data.
- Continuously evaluate and optimize the performance of models by building adapted metrics.
- Participate in the active learning strategy and implementation process to improve sample selection and future model performance.
- Stay current with the latest ML advancements in the field and suggest optimisations that may improve the foundation models’ performance and capabilities.
- Present ML research concepts to the scientific community and experimental design needs to the ML team.
- Work closely with ML engineers, data scientists, and clients to deliver promising representation algorithms for downstream applications.
Requirements
- PhD in Computer Science, Machine Learning or a closely related field, with a focus on deep learning.
- 3+ years of experience in machine learning which involved pre-training, fine-tuning and evaluating DL algorithms (Transformers) in the cloud or in a private cluster.
- Excellent communication skills in English.
- Proven ability to work with interdisciplinary teams.
- Thrives in a fast-paced, evolving startup environment.
- Strong analytical skills and problem solving ability.
Nice to have
- You have a publication record in top-tier ML conferences or journals
- You have demonstrated experience in designing and running large-scale ML experiments (SLURM, Pytorch, Deepspeed).
- Demonstrated machine learning experience in one of the following: open-source activity, data science competitions.
- Track record of translating research into business impact
- Experience in developing and debugging in C/C++, Python
Culture & Benefits
- Equity (BSPCE), to reflect the value you bring to Neuralk and to foster a shared journey
- Comprehensive health insurance
- French level paid leave and time-off work
- Dynamic work setting.
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