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Photo of WellSaid Labs

emoji of a pushpinRemote - USemoji of a money bag170,000 - 190,000
emoji of a woman of coloremoji of a man5 people in techemoji of a woman of coloremoji of a woman 2 women in techemoji of a woman of coloremoji of a person of color 1 person of color in tech

On a mission to develop AI for Good, WellSaid Labs developed a breakthrough AI algorithm that creates synthetic, realistic speech from text. Creatives around the globe use their Studio to create trainings for COVID-19 frontline workers, to design unique YouTube experiences, and to narrate indie audiobooks.

JOB DESCRIPTION

WellSaid Labs is looking to hire a Machine Learning Engineer to help research, develop, and deploy our deep learning models.

We have developed a breakthrough deep learning model that creates synthetic, realistic speech from text. You will work on our core Text-to-Speech (TTS) service that enables creatives to make lifelike voiceovers for videos, audiobooks, and trainings.

What you'll do:

In this role, you will be working with the CTO to mature our State-of-the-Art Deep Learning TTS service. This includes optimizing our training pipeline, automating our delivery pipelines, rewriting abstraction layers, and more...

More specifically, you'll work on:

  • Iteratively and incrementally improve the ease of use, reliability, and performance of our TTS service.
  • Build tooling for automating custom voice creation.
  • Develop data structures for loading, processing, and validating 1000s of hours of text and speech data.
  • Set up a CI / CD pipeline.
  • Improve the performance and the scalability of our machine learning training pipeline by integrating tools like DeepSpeed, PyTorch AMP, PyTorch JIT, and PyTorch Profiler.
  • Monitor our TTS deployment. You'll manage standard metrics like latency, performance, and cost. You'll also keep track of TTS metrics like loudness, cadence, and naturalness.
  • Improve the scalability of our TTS deployment.
  • Be mindful and conscientious of AI ethics and the social impact of the work you do at WellSaid Labs.
  • Open-source reusable libraries and tooling.
  • Help interview and recruit more talented engineers to WellSaid Labs!

Your perks and benefits:

  • $170,000 to $190,000 salary range
  • Full medical, dental, and vision insurance
  • 401(k) plan
  • Vacation policy/paid time off
  • Flexible schedules (Our 12 person team has 10 parents who support 4 babies and 6 doggos!)
  • Remote-first company culture (We have employees in New York, Missouri, Texas, Florida, and Washington State!)
  • Parental leave
  • Learning & development stipend

What you'll have:

  • Understanding of the key elements to a good developer experience.
  • Experience in iteratively and incrementally developing a mature data-driven web service.
  • Experience with deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)
  • Great attention to detail.
  • Experience automating delivery pipelines and integrating continuous monitoring.
  • Attention to creating modular, secure, and well-tested code.
  • Experience building reusable tools to increase workflow efficiencies.
  • A background using data structures and algorithms to processes large amounts of data.
  • Experience with cross-team collaboration.
  • Working knowledge of computer science fundamentals like data structures and algorithms.
  • (Bonus) Experience with our tech stack which includes: PyTorch, C++, Python, CUDA, Docker, Google Kubernetes Engine.
  • (Bonus) Experience with web technologies like HTML, CSS, React, Node.
  • (Bonus) Experience profiling and optimizing deep neural network performance.

What to expect from us:

Please apply and if the skills and values listed in this posting sound like you, Michael will reach out for an initial phone screen. After the phone screen, you'll be invited to a technical Karat interview. We use Karat to evaluate software engineering fundamentals and to make the hiring process equitable. Lastly, we'll ask you to do a final round of interviews with the team.

Is this role not an exact fit?

Email careers@wellsaidlabs.com to stay in touch, we'll let you know when we have new positions on the team!

Who we are:

Our startup spun out from Paul Allen's Institute for AI (AI2) in 2018, where we developed a state-of-the-art deep learning model that can read text in a completely human-like voice.

We firmly believe in AI for good. Creatives around the globe use Studio to create compelling employee training, design unique digital experiences, and narrate audiobooks. We enable creatives by putting high-tech, human parity technology into their hands, giving them the ability to add voice-over to any project and iterate with ease.

We have secured tens of millions of dollars in funding from top-tier VCs, and are looking to expand our team.

Our work has been featured in TechCrunch (1, 2, 3), GeekWire (1, 2, 3, 4, 5), CNN, MIT Technology Review, Venture Beat and we are one of three Seattle companies to make CB Insights’ list of the top 100 world’s most promising AI startups.

What we value:

AI for good. Technology should be empowering, engaging, and fair to all people. Through consent and transparency in data usage, we build secure systems that protect user privacy. We strive to hold ourselves accountable for the algorithms we deploy, and we uphold the principles of the Hippocratic Oath.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

INTERVIEW PROCESS

Please apply and if the skills and values listed in this posting sound like you, Michael will reach out for an initial phone screen. After the phone screen, you'll be invited to a technical Karat interview. We use Karat to evaluate software engineering fundamentals and to make the hiring process equitable. Lastly, we'll ask you to do a final round of interviews with the team.

DIVERSITY, EQUITY AND INCLUSION

We are committed to building AI for Good, and we cannot do so without a diverse, equitable, and inclusive workplace. Our small team of 11 people believes actions mean more than words. Here are some actions we are proud of:

  • Our team of 11 has 9 parents that have had 4 new kids recently! To support them and everyone else, we offered flexible work hours, fully remote work, 3 months of parental leave, comprehensive health care, 401k plans, competitive salaries, vacation policy/paid time off, and a learning stipend. Please let us know if there are any benefits or accommodations you need for any reason.
  • We have prioritized running a fair and unbiased interview process. As part of that effort, we have partnered with Karat to conduct our initial interviews. Among the many benefits of Karat, you'll be able to schedule your interview at any time of day including weekends and working hours. Also, you'll be able to request a REDO interview for any reason. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
  • Our leadership team is committed to building an ethical and sustainable business. As part of that commitment, we have rejected business from companies that would have misused our technology. We have been proactive about anticipating and mitigating the potential harmful uses of our technology. We have been investing in DEI since the company was founded from writing inclusive job descriptions to offering equitable employee benefits.

With a fresh round of funding, we are hiring engineering leaders to scale our AI for Good efforts. Thank you!

Apply Now
When you apply, please mention that you found the posting on Diversify Tech!


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