emplois Deep

As a Deep Learning Researcher, you will be facing a challenging and exciting opportunity to innovate. You can expect to work in a small team of dedicated engineers and researchers on various projects, relying on your research experience and expertise in Deep Learning to adapt and reapply proven methodologies from other domains, such as natural language processing, as well as develop novel solutions to unsolved problems. You will have the opportunity to work on various tasks, such as designing models to achieve state-of-the-art music classification, extracting high level musical features using deep neural networks and developing new methods for conditional and structured generation. Ultimately, your work will directly impact the company’s progress towards fulfilling its vision of empowering individuals by creating personalised soundtracks with AI.

We are looking for a candidate with a strong foundation in Machine Learning, who can rely on their in-depth knowledge and intuition to contribute novel ideas, rigorously evaluate empirical evidence and make educated adjustments to proposed methods. The candidate should be versatile in working with common Deep Learning frameworks, such as Tensorflow, and prototyping custom network architectures. At the same time, the candidate would benefit from a good intuition in music theory and structure, as well as familiarity with symbolic music representation formats.

• At least 2 years of experience designing and deploying Deep Neural Networks
• 2 or more years of experience working on Machine Learning projects
• Bachelor Degree in Computer Science, Applied Mathematics, Statistics or equivalent form of qualification (academic, professional)
• Fluency in common Deep Learning libraries such as Tensorflow, Theano, etc
• Enthusiasm and resilience in a fast-paced startup work environment
• An interest in music
• Strong team player and communicator

• Co-authored one or more research publications
• Experience working with generative models
• Knowledge of basic music theory and encoding formats such as MIDI

Salary and duration of the job will be negotiable.

• Please read the questions below and send the answers to jobs@aiva.ai. We will contact you afterwards for an interview.
• Don’t forget to include your CV in the email.
• Only applications in English are accepted.

• Please talk about your most relevant Deep Learning project.
• Describe your past research work which involved a novel contribution.
• Discuss a difficult problem you faced and to which you found a solution by combining your knowledge and empirical evidence.
• Describe your experience working with common Deep Learning libraries, such as Tensorflow.
• Please include any web links or references to past projects you have worked on, whether they are related to Deep Learning or not.
• Do you have a Github profile? A LinkedIn? An artist page ? Please include any relevant links in the answer.
• What interests you the most about this opportunity?