Remote Otter LogoRemoteOtter

Sr. Applied Machine Learning Researcher - Generative Models - Remote

Posted 2 weeks ago
Software Development
Full Time
USA
$170,734 - $213,418/year

Overview

Splice is a creative platform for people who make music, providing tools and resources for digital music creators.

In Short

  • Join a team focused on generative models for audio and music.
  • Conduct research on ML-based generative audio techniques.
  • Collaborate with ML Engineers on model development.
  • Develop proof-of-concept prototypes for generative models.
  • Engage with academic communities for collaboration.
  • Document research findings and share knowledge.
  • Work in a remote-first culture with regular team communication.
  • Participate in a creative and innovative team environment.
  • Contribute to a mission of empowering music creators.
  • Flexible work options with competitive compensation.

Requirements

  • Ph.D. or Master's in Electrical Engineering, Computer Science, or related field.
  • Experience in Digital Signal Processing.
  • 2+ years in Applied Research with generative models.
  • Proficiency in Python and deep learning frameworks.
  • Familiarity with software development best practices.
  • Strong communication and collaboration skills.

Benefits

  • Competitive pay with annual reviews and equity opportunities.
  • Unlimited PTO for work-life balance.
  • Comprehensive health coverage for you and dependents.
  • 401(k) plan with company match.
  • Parental leave benefits.
  • Annual learning budget and professional growth opportunities.
  • Inclusive events and community connection.
Splice logo

Splice

Splice is a forward-thinking company at the intersection of artificial intelligence and audio technology. The organization focuses on leveraging AI to enhance audio data processing, particularly in the realm of generative audio and music applications. With a commitment to innovation, Splice fosters a collaborative environment where engineers and researchers work together to design and deploy scalable machine learning models that integrate seamlessly into their products. The company values expertise in machine learning and offers opportunities for professionals to contribute to cutting-edge advancements in the field.

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