Snabbfakta

    • Boulogne-Billancourt

Ansök senast: 2024-08-16

Audio & Music ML/ DL Research Engineer

Publicerad 2024-06-17

MEETING MWM

Founded in 2012 by Jean-Baptiste Hironde, MWM is a global leader in developing and publishing mobile applications in creative domains, with over 600 million downloads worldwide. Recognized as the top French app publisher, we are known for our innovative approach and a touch of ‘madness’ that inspires unconventional thinking.

Headquartered in Boulogne-Billancourt, France, and acknowledged as one of the nation’s top 120 startups, we are on a mission to ‘Unlock Human Potential’ through technology. We believe in empowering individuals by making advanced tech accessible, serving as catalysts for personal growth and exploration.

True to our vision of making advanced tech feel like simple magic, we are committed to transforming complex technology into intuitive, user-friendly experiences. Harnessing AI and machine learning, our apps are reshaping user experiences.

Interested? Keep reading!

 

YOUR FUTURE JOB

Within the Research Department, your mission is centered on the development and implementation of state-of-the-art ML/DL algorithms for audio and music applications like music information retrieval, audio processing, audio source separation, audio and music generation, speech recognition etc. You will be involved in all the steps of the research projects, in collaboration with members of the Research, Product and Development departments:

  • Work with the Product team to identify real-world problems that ML/DL technologies can solve.
  • Train and evaluate machine learning models.
  • Conduct research on novel approaches.
  • Gather, create and cleanup datasets.
  • Partner with engineers and developers to integrate research results into practical real-world algorithms for cloud and/or on-device environments.
  • Collaborate with software engineers to ensure seamless integration in final products.
  • Optimise the existing algorithms in terms of precision, robustness, speed and costs.
  • Stay up-to-date on the latest advancements in audio, ML and DL research: bibliography, tests, simulations, evaluations, benchmarks etc.
  • Work on the team tools and infrastructure with the rest of the team.

 

ABOUT YOU

You are a proficient ML/DL Research Engineer passionate about audio and music technologies. Always eager to tackle challenging tasks, you are continuously on the lookout for learning opportunities and excel in environments that value collaboration, ongoing improvement, and a touch of creativity. You focus on results and efficiency with autonomy and rigour in your work.

Target profile and expected skills:

  • Education: You have a Master’s degree or PhD in Computer Science, Data Science, Machine Learning or a related field (or equivalent experience).
  • Audio ML/DL experience: You have strong experience with deep learning and machine learning techniques, particularly for audio applications.
  • Research methodology: You have proven ability to conduct independent research, analyse data, and develop innovative solutions.
  • Python programming: You have excellent programming skills in Python and you are familiar with machine learning libraries (e.g., PyTorch, TensorFlow).
  • Additional knowledge: Experience with GCP or other cloud platform is a plus. Experience with CoreML or other on-device ML/DL framework is a plus.
  • Drivenness: You have excellent problem-solving and analytical skills and mindset, you focus on the impact of your work on real-world applications.
  • Rigour: You have a rigorous and detail-oriented approach, you ensure your work is of the highest quality, and you produce robust, scalable and maintainable code.
  • Proactivity: You are proactive and take initiative in identifying and addressing potential issues or opportunities. You are curious and you constantly seek to learn more about the ecosystem and emerging technologies.
  • Communication: You have excellent written and verbal communication skills, with the ability to communicate clearly and efficiently with both technical audiences (data scientists, software engineers, SREs etc) and non-technical audiences (product managers, designers etc).
  • Languages: You are proficient in both French and English, daily communication is in French.
  • You posses the mindset aligned with the 9 MWM principles described on the home page.


MWM IN A NUTSHELL

Product excellence: Since 2012, we have pioneered advanced products and technologies, creating the largest consumer app catalogue in history that served over half a billion people worldwide. At MWM you will work on the apps that act as the benchmark in music, coloring, and photography.

Tech temple:
With over 12 years as pioneers in the mobile industry, we've developed the market's most advanced technology stack. Here, you will interact with proprietary audio and rendering engines, MLMs, data infrastructure and business intelligence solutions that empower us to offer an unparalleled experience to our users.

AI hub:
MWM has been developing its own machine learning and deep learning algorithms since 2017 and has quickly become a reference in the AI field for the general public. Our algorithms are used by millions of people daily. At MWM, you will have a direct touch with the future of AI.

Madvantages:
Passion. Meaning. Challenges. Pride. Success. A real team. We guarantee you will find all of these stepping inside MWM office. A long list of all generic startup advantages is included too, but we hope you don't care that much :).

Mad minds, great minds:
When joining MWM, you'll join our talent from diverse backgrounds across the globe, united by one powerful drive: to become their best selves. We are a real team, linked by a common vision and driven by the same passion. Our mindset is encapsulated in the nine MWM Principles, designed to nurture creativity and inspire innovation.

RECRUITMENT PROCESS

  1. First interview (30min - video call)
  2. Tech interview (2h - on site)
  3. Interview with the manager and C-levels (1h - on site)
  4. Mindset interview with Jean-Baptiste HIRONDE, CEO (30min - on-site)
  5. Welcome    !