Machine Learning Engineer

il y a 3 semaines

Paris, France Animaj Temps plein

Animaj is a next-generation media company that brings high-quality and inspiring brands to kids and families worldwide.

We acquire and transform high-quality IPs (including Pocoyo , HeyKids ) into multi-platform franchises, using a digital-first and AI-driven approach.

Our content, produced independently, aims to inspire children to dream, explore, and create.

We are backed by a world-class team of investors including LeftLane, XAnge, Daphni, Bootstrap, Resonance, and some of the best tech business angels; we have raised ~ €100m since our creation in May 2022.

We are a fast-growing company aimed at changing the paradigm in the Kids entertainment industry.

Job Description

Animaj leads the global media industry by creating and delivering premium 3D animation to families worldwide. Traditional animation, rooted in outdated processes since the early '90s, lags behind the fast-paced demands of today's digital economy.

Our innovation addresses the time-intensive nature of traditional animation, where each second can take hours or a week to produce.

As a Deep Learning Research Scientist at Animaj, you’ll be instrumental in pioneering sophisticated AI solutions that will be implemented in our 3D animation production workflows.

This position requires a unique combination of skills: you will lead end-to-end research projects while also possessing the technical prowess to build scalable, efficient systems.

You will report to the VP of Engineering and will be part of an ambitious team pushing the boundaries of the Kids’ animation industry through innovation in generative AI applications.

Responsibilities

Develop and implement machine learning models to automate and enhance the 3D animation production process , including tasks such as 3D motion generation, 3D pose estimation and animation style transfer

Collaborate with Deep Learning Research Scientists to translate research prototypes into robust, scalable systems .

Integrate AI solutions into existing production tools in collaboration with our 3D engineers and software engineers, ensuring seamless operation and efficiency improvements.

Participate in the design and execution of rigorous testing protocols to evaluate model performance and iteratively refine these models.

Contribute to the creation and maintenance of large datasets for model training

Stay abreast of the latest advancements in machine learning , particularly those relevant to computer graphics, animation, and content creation , to inform and guide development efforts

Foster a culture of innovation , sharing knowledge and insights with the team to promote continuous learning and improvement.

Stock Options - We want all of our early employees to participate fully in Animaj's success.

Health Care - We provide totally subsidized/covered health care.

Remote Policy - Dedicated to your work-life balance, we offer 2 days remote and 3 days per week at the office. Why? Because we think that magic occurs when people work together, but we also believe that there are times when you need to be able to work without interruption.

Work environment - A stimulating workplace that fosters creativity, autonomy and leadership.

Preferred Experience

MSc in Computer Science, Engineering, Machine Learning, or a related field.

2+ years of hands-on experience in machine learning, with a focus on applications in computer graphics, computer vision, or content generation.

Proficiency in Python and familiarity with PyTorch .

Experience with computer vision and graphics techniques relevant to animation production, such as image generation, scene understanding, and motion capture.

Strong understanding of the full machine learning development cycle , including data preprocessing, model training, evaluation, and deployment.

Effective communication skills, with the ability to articulate technical concepts and collaborate across multidisciplinary teams.

Creativity and problem-solving abilities , with a track record of thinking outside the box and implementing innovative solutions.

Fluent in English , with experience working in a diverse, multinational environment.

Agile and adaptable, capable of thriving in a fast-paced setting while juggling multiple priorities.

Recruitment Process

Screening interview with our VP of Engineering

Case study homework

Focus interview with our VP of Engineering and an other Machine Learning Engineer  

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