Remote AI Engineer & Researcher, Inference

at Speechify

Posted 2 days ago 5 applied

Description:

  • Speechify's mission is to ensure that reading is never a barrier to learning.
  • Over 50 million people use Speechify’s text-to-speech products, which convert various reading materials into audio.
  • Speechify's products include an iOS app, Android app, Mac app, Chrome extension, and web app.
  • The company operates in a 100% distributed setting with nearly 200 employees globally.
  • The role is ideal for someone who thinks strategically, enjoys fast-paced environments, and is passionate about making product decisions.
  • The organization values work ethic, solid communication skills, and a strong desire to win.
  • The interview process includes several technical interviews, aimed to be completed within one week.
  • Responsibilities include working with machine learning researchers and engineers to deploy and operate core ML inference workloads, introducing new techniques to improve model performance, and building tools to identify and address bottlenecks.

Requirements:

  • Candidates must have experience shipping Python-based services.
  • They should have been responsible for the successful operation of a critical production service.
  • Experience with public cloud environments, preferably GCP, is required.
  • Familiarity with Infrastructure as Code, Docker, and containerized deployments is necessary.
  • Preferred qualifications include experience deploying high-availability applications on Kubernetes and deploying ML models to production.

Benefits:

  • The position offers a dynamic environment where contributions shape the company and its products.
  • Employees will be part of a team that values innovation, intuition, and drive.
  • The role provides autonomy, fostering focus and creativity.
  • There is an opportunity to have a significant impact in a revolutionary industry.
  • Competitive compensation and a welcoming atmosphere are provided, along with a commitment to an exceptional asynchronous work culture.
  • Employees will work on a product that changes lives, especially for those with learning differences.
  • The role is active at the intersection of artificial intelligence and audio, a rapidly evolving tech domain.