Staff Software Engineer, Machine Learning

WellSaid Labs
·
Posted: 
March 29, 2023
·
Remote
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Remote
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

WellSaid Labs is seeking a Staff Software Engineer, Machine Learning to work closely with the CTO to improve the developer experience for their Deep Learning TTS service. The ideal candidate has extensive experience with ML concepts and best practices, deep learning frameworks, and a solid understanding of the key elements to a good developer experience. They will be responsible for optimizing the training pipeline, automating delivery pipelines, and rewriting abstraction layers. The role requires a U.S. Citizen or Permanent Resident and passing a pre-employment background check. The hiring salary range for this role is $180-210k.

Responsibilities

  • Iteratively and incrementally improving the ease of use, reliability, and performance of the TTS service
  • Building tooling for automating custom voice creation
  • Setting up a CI/CD pipeline
  • Developing data structures for loading, processing, and validating large amounts of text and speech data
  • Improving the performance and scalability of the machine learning training pipeline
  • Measuring and monitoring the TTS deployment, including managing standard metrics like latency, performance, and cost, as well as keeping track of TTS metrics like loudness, cadence, and naturalness
  • Improving the scalability of the TTS deployment
  • Being mindful and conscientious of AI ethics and the social impact of the work done at WellSaid Labs, including advocating for what is right
  • Open-sourcing reusable libraries and tooling

Requirements

  • Extensive experience with and solid understanding of ML concepts and best practices
  • Experience with deep learning frameworks such as PyTorch and Tensorflow
  • Understanding of key elements to a good developer experience
  • Experience working on and/or leading at least two significant projects that utilized ML to solve a real-world customer pain point or create/inform a solution for a customer
  • Multi-year experience in iteratively and incrementally developing a mature data-driven web service (preferred)
  • Mindset and experience automating delivery pipelines and integrating continuous monitoring (preferred)
  • Affinity for creating modular, scalable, secure, and well-tested code (preferred)
  • Experience with and passion for building reusable tools to increase workflow efficiencies (preferred)
  • Background using data structures and algorithms to process large amounts of data (preferred)
  • Strong cross-team collaboration skills
  • Working experience with most other elements of the tech stack which includes C++, Python, CUDA, Docker, Google Kubernetes Engine
  • Agile, iterative mentality and approach to problem-solving
  • Experience with web technologies like HTML, CSS, React, Node (bonus)
  • Experience profiling and optimizing deep neural network performance (bonus)
  • Great attention to detail
  • Must be a U.S. Citizen or Permanent Resident
  • Must pass a pre-employment background check

Job Application Resources

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WellSaid Labs

WellSaid Labs is a developer of art text-to-speech technology that creates life-like synthetic voices, from the voices of real people.
Location
Seattle, WA
Company Size
51-100
Workplace Type
Industries
Artificial Intelligence
Real Time
Software
Data and Analytics
Science and Engineering
Open Roles
13
Less details
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WellSaid Labs

WellSaid Labs is a developer of art text-to-speech technology that creates life-like synthetic voices, from the voices of real people.
Company Overview

WellSaid Labs is a developer of art text-to-speech technology that creates life-like synthetic voices, from the voices of real people.

Benefits
  • Competitive salary and stock options
  • Full medical, dental, and vision insurance
  • Matching 401(k) plan
  • Generous vacation policy/paid time off
  • Parental leave
  • Learning & development stipend
  • Home office stipend
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