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Senior Machine Learning Engineer-Speak
Posted on 12/16/2022
London, UK
Experience Level
Desired Skills
Natural Language Processing (NLP)
  • You have worked with the latest model architectures in generative modeling such as transformers, generative adversarial networks (GANs), diffusion models, normalizing flows, or variational autoencoders (VAEs)
  • You have trained and built large ML models at scale using PyTorch, as well as experiment tracking systems such as MLFlow, and distributed training frameworks such as Horovod, DeepSpeed, Ray, FairScale, or torch distributed
  • You have used techniques to search hyperparameter spaces, to find better neural architectures, and to reduce model size, cost, and latency for production usage
  • You have hands-on experience of developing production machine learning systems at scale on the cloud in Python, Java, or similar languages
  • You appreciate the value of high quality data collection and evaluation processes, always looking for ways to scale up and automate
  • You have a strong experimental mindset with a track record of interpreting and implementing methods described in research papers
  • You advocate for agile software processes, data-driven development, the production of secure and reliable systems, model provenance, and principled experimentation
  • Develop scalable pipelines for data preparation, model evaluation, and training of large models for speech synthesis
  • Collaborate with our research team to raise engineering standards and to design, build, evaluate, and refine our models
  • Contribute to building and improving our infrastructure for research, development, and model serving
  • Share your knowledge and experience of how to operate and scale ML systems
  • Be part of an engineering team at Speak dedicated to building and serving our models at scale, as well as an active group of machine learning practitioners in the Personalization mission and across Spotify
Desired Qualifications
  • You have a strong background in ML with experience in a generative Modeling domain, ideally in speech synthesis or natural language processing. Knowledge of audio processing is a

5,001-10,000 employees

Leading music and podcast streaming platform
Company Overview
Spotify's mission is to unlock the potential of human creativity — by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Core Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously