Senior Machine Learning Engineer (TTS)
If you are looking to join a collaborative, open, high impact team of researchers and engineers - this one's for you ๐ย
You can continue to read or watch the video below (https://share.synthesia.io/7b88e1c7-dc79-41a8-85ae-1aac57abf0d8)
About the position
We are looking for a Senior ML Engineer with a passion for working on cutting edge problems that can help us create highly realistic, emotional and life-like synthetic humans through text-to-video. We are looking for an excellent engineer with outstanding coding skills in Python.
๐ฉโ๐ผ We are a group of more than 30 Engineers in the R&D department and you will have the opportunity to collaborate with multiple research teams across diverse areas, working directly with our founders - Prof. Lourdes Agapito and Prof. Matthias Niessner.
๐In this position, you'll be working at the heart of a dynamic R&D team solving challenging problems with the focus on exploring new product opportunities and bringing new capabilities to market for synthetic video. This would include:
- Research and development of new methods to create synthetic voices (text-to-speech).
- Building the data-sets and metadata required to model emotional and expressive human voice.
- Developing production quality software, our teams work โfull stackโ with the ability to deliver direct to product and impact the world.
- Taking ownership of the full ML lifecycle from concept, development, testing, validation to deployment.
We have multiple roles available spanning audio / video synthesis, multiple-view performance capture, generative models of people and exploring product opportunities in synthetic video. Take a look through the profile to see if this could be you. ๐
Basic Requirements
- Background in Computer Science or related field
- Extensive knowledge in machine learning and deep learning techniques
- 3+ years and excellent coding skills in Python
- 4+ years of experience developing and delivering Machine Learning solutions in various areas
- Excellent verbal and written communication skills in English
- Note: The interview process includes a round of Tech Challenge where your deep learning and programming skills will be tested.
Preferred experience
- Experience working with Natural Language Processing and/or text-to-speech is a plus but not necessary.
- Experience working with state-of-the-art network architectures: GANs, transformers, diffusion models, NeRFs
- Strong software development skills and experience across the stack: Python, PyTorch, Docker, Git, Blender
The good stuff...
๐ธ You will be compensated well (salary + stock options + bonus)
๐ You will work in a hybrid setting with offices in in London or Amsterdam
๐ You get 25 days of annual leave + public holidays in the country where you are based
๐ฅณ You will join an established company culture with regular socials and company retreats
๐คฉ You get 4 weeks paid sabbatical after 4 years at the company + $10,000!!
๐ผ You get a paid parental leave
๐ You can participate in a generous referral scheme
๐ป You get a brand new computer of your choice (if that still counts as a benefit in 2022 ๐ค)
๐ You will have huge opportunities for your career growth