Buster.Ai

Buster.Ai

Deep Learning Research Engineer Intern

  • Stage 
  • Paris
  • Télétravail partiel possible
  • Bac +5 / Master
  • > 6 mois

La tribu

Buster.Ai

Buster.Ai

    Le poste

    Deep Learning Research Engineer Intern

    • Stage 
    • Paris
    • Télétravail partiel possible
    • Bac +5 / Master
    • > 6 mois

    À propos

    Buster.Ai verifies the integrity and truthfulness of the contents using artificial intelligence. Their ambition is to become the most widely used information antivirus in the world.

    Founded in 2019, Buster.AI was born out of an observation: critical information that could potentially trigger international or economic crises circulates without rapid verification by the media or competent authorities. The phenomenon is so widespread that it is becoming increasingly difficult for ordinary people to detect true and false information in the mass of information circulating on a daily basis.

    To provide an answer to this major challenge of the 21st century, Julien and Aurélien, the two co-founders, decided to create with a team of experts in artificial intelligence a true information antivirus.

    At the forefront of technology and research in artificial intelligence, Buster.Ai is a finalist in Challenges magazine’s “100 Startups to Invest in 2020”.

    Their ambition? To create consumer products (plug-ins and mobile applications) that allow everyone in the world to identify the true of the false in the mass of information, whether it is from their phone or their computer.

    Descriptif du poste

    As a Deep Learning Research Engineer Intern, you will be part of a cutting-edge research team that seeks to advance the state-of-the-art in Natural Language Understanding and Computer Vision, and who won first places at different research challenges (CLEF, FEVER.AI) applied to Information Retrieval, Information Verification and, Fact-Checking.

    You will participate in the development of algorithms and models adapted to our use-cases, mostly linked to the analysis of the authenticity of multimedia content.

    💻 Your tasks will include:

    • Designing new algorithms and models by defining datasets, devising baseline, and improving performances
    • Implementing, refining, and strengthening techniques from scientific publications and helping to integrate them into production
    • Keeping up with the latest advances in Deep Learning to push beyond state-of-the-art solutions
    • Working closely with the Data and Product teams to understand the data and make the best use of it
    • Contributing to the continuous improvement of our research framework

    🎁 Perks

    Offices

    • WeWork office space in the heart of the 8th arrondissement of Paris, and access to all WeWork office spaces in the world 🌎
    • A rooftop for sunny days, with a breathtaking view on the Eiffel tower ☀️
    • Free coffee (vegan drinks included 🌱)
    • Lots of other amenities: resting areas, phone booths, meeting rooms, showers…

    Advantages

    • A Swile card for meal vouchers, financed at 60%
    • A work computer with a killer configuration 💥
    • Two screens per person
    • A Mega account with unlimited storage
    • A VPN account for secure browsing
    • Dedicated servers for AI trainings
    • -2% on Evaneos holiday trips

    Profil recherché

    👉Must-haves

    • MS or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
    • Experience in Computer Vision and or NLP/NLU algorithm development
    • Programming experience with Python

    👍Nice-to-haves

    • Experience with Research and Development of recent models (self/cross) attention based models, Transformers using either PyTorch or TensorFlow
    • Great autonomy and summarizing capabilities of recent publications and research papers (Arxiv Sanity is your best friend).
    • Knowledge in clustering, segmentation, object detection, generation
    • Good coding practices: Git, Testing, Documentation, CI/CD

    Déroulement des entretiens

    1. Test your skills against our technical test!
    2. Video call with a member of the team to get to know you
    3. (optional) Tech interview: 1 computer vision challenge
    4. Final validation and onboarding & meet the research team

    Découvrez l'équipe

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