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Data Scientist - AI Research

Plný úvazek
Plat: Neuvedeno
Plně vzdálený
zkušenosti: > 3 roky
Vzdělání: Magisterský stupeň vzdělání

FIELDBOX
FIELDBOX

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Pozice

Popis pozice

As a member of the AI Research team, you are part of the Labs team at Fieldbox. You work in close collaboration with the other Labs resources, as well as the Build and Run teams to study recurrent questions that our industrial customers have, or will have.
As an AI Research Data Scientist, you study and develop algorithms, methodologies and software that apply and advance the cutting edge of AI research to industrial questions and datasets. Your research will impact the delivery of projects to our clients, and the tooling that the team uses daily.

Main missions:

  • Scientific and technical watch:

    1. Read scientific papers for knowledge sharing.
    2. Test newly issued Python packages related to our topics of interest.
    3. Test whether the latest AI advances apply to industrial data and questions.
  • Study substantive issues occurring often within various clients’ projects.
  • Develop new approaches dealing with these issues.
  • Contribute to the development of innovative models and tools to automate industrial processes.
  • Value these new models and tools through:

    1. Packaged Python code for the developed algorithms.
    2. Scientific publications.
    3. Presentations at academic and industrial conferences.
  • Internal knowledge-transfer through:

    1. Writing internal articles with recommendations to deal with the issues studied, description of the new algorithms developed, results obtained.
    2. Internal presentations.
  • Scientific and methodological support to clients’ projects.
  • Expertise contribution to presales
  • Co-supervision of interns.

Požadavky na pozici

Skills:
We are looking for a PhD, Master of science, engineering degree, or equivalent in a quantitative discipline related to the position.

  • You must have a taste for research and value concrete impact on industrial operations.
  • Good knowledge of one topic or more in the following list: Applied Mathematics, Statistics, Predictive Models on Time Series, Machine Learning, Deep learning, Image/Signal Processing, Natural Language Processing, Optimization, Optimal Transport, Operation Research, Automation, Industrial applications,Simulation.
  • Good knowledge in programming (we use Python).
  • Working knowledge of basic best practices of Software Engineering (version control, code review - we use gitlab)
  • Fluent english.
  • Excellent scientific writing skills in English (and French, if possible).
  • Ability to work in an agile environment
  • Must have some knowledge of the following bricks of our tech stack: scikit-learn, pandas, tensorflow, PyTorch, SQL, MLFlow, git.
  • Nice to have: docker, kedro, fastAPI, labelStudio.

In particular we are looking for young doctors (fresh PhD or PhD and postdoc) to work on our core research subjects:

  • Dealing with scarcely labeled, or small or imbalanced data
  • Extreme classification in computer vision
  • Explainability, interpretability, uncertainty of AI models
  • Lightweight AI models
  • Monitoring of deployed models
  • Weakly supervised learning for computer vision tasks
  • Anomaly detection (for tabular data, for computer vision tasks, among other settings)

Personal qualities:

  • Autonomy, source of proposals, good organization.
  • Perseverance, scientific curiosity.
  • Pedagogy, ability to explain complex notions in simple terms.
  • Enjoy equally teamwork and solo work.

Compensations & Benefits

  • Competitive salary based on your profile and experience,
  • You are joining a company where kindness and respect allow everyone to realize their full potential,
  • Possibility of full remote in France

Proces náboru

First HR interview to get to know each other
Technical test to do at home
Technical interview with 2 members of your futur team
Final interview with one of our co-founders

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