FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and experimenting with speech synthesis and recognition methods, particularly through generative models and machine learning techniques. Strong ability to collaborate with cross-functional teams and communicate complex technical concepts effectively.
Highest-signal resume keywords
PhD In Machine LearningGenerative Models DevelopmentPython ProgrammingExperience With TransformersSpeech Synthesis And Recognition
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningGenerative Adversarial NetworksDiffusion ModelsVariational AutoencodersAudio CodecsNatural Language ProcessingComputer VisionProduction PipelinesEnd-To-End ApproachesModel Development
Soft Skills
Strong Communication Skills
Tools & Technologies
PyTorch
Industry Keywords
Speech TechnologyResearch And DevelopmentHigh-Quality DataScalable ProductsConversational Models
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
- Expand speech use cases for different markets and products
- Build and create models at scale to power the Spotify platform
- Champion research and development best practices and share knowledge with researchers within Speak
- Collaborate with engineering and data teams on new infrastructure and high-quality data
- Improve speech recognition and speech synthesis pipelines
- Turn proven ideas into scalable products
- Explore methods to improve quality, understanding, and realism of speech technology
- Develop production pipelines for generative conversational speech-to-speech models
Requirements
What you’ll need- Strong background in ML (PhD degree on top of professional experience)
- Experience with transformers, GANs, diffusion models, flow matching, VAEs, or audio codecs
- Experience developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision
- Strong experience with Python, particularly PyTorch
- Strong communication skills and ability to explain technical ideas clearly to technical and non-technical people
- Experience conducting high-quality research in an academic or professional setting
- Based in London or Stockholm
Benefits
Comp & perks- Flexibility to work where you work best
- Work-from-home flexibility
- Some in-person meetings
- Reasonable accommodations during the interview process
- Equal opportunity employment and inclusive workplace