Who We Are: WellSaid Labs

We’re creating a Voice for everyone.

At WellSaid Labs, we enable creatives around the globe 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. Creative teams use WellSaid Lab’s Voice Studio to create compelling employee training, design unique digital experiences, and narrate audiobooks. We believe deeply in AI for Good, and that technology should be empowering, engaging, and fair to all people

The WellSaid Labs Applied Machine Learning Team works with stakeholders to identify, refine, and solve problems at the intersection of machine learning and customer needs. This team understands customer needs through quantitative and qualitative research and they work across WSL teams to understand how machine learning is utilized and how it can be improved.

How You’ll Contribute:

As Senior Software Engineer on the ML Platform Team, you will work alongside the CTO to elevate our machine learning platform and extend our state-of-the-art text-to-speech models. This work includes optimizing our training pipeline, automating data processing, and redesigning abstraction layers.

You would be joining a pioneering team with years of experience being the industry leader in text-to-speech.

In your day-to-day, you'll work on:

• Iteratively and incrementally improving our TTS service's ease of use, reliability, and performance.
• Building automated training and data processing services.
• Extending our data structures for better loading, processing, and validating tens of thousands of hours of text and speech data.
• Improving the performance and scalability of our machine learning training pipeline by integrating tools like DeepSpeed, PyTorch AMP, PyTorch JIT, and PyTorch Profiler.
• Researching techniques for better fine tuning and quantizing our models.
• Building confidence in our software through mature testing, reviewing, and deployment practices.
• Being mindful and conscientious of AI ethics and the social impact of your work at WellSaid Labs.
• Open-source reusable libraries and tooling.

What We’re Looking For

To thrive in this role, you ideally have experience developing and extending difficult deep learning models in PyTorch, experience deploying models into production, and an understanding of the key elements to a good developer experience.

Ideally, you also have some combination of the following:

• Experience in iteratively and incrementally developing a mature machine-learning service.
• 2+ years experience using Pytorch professionally.
• You have built and deployed ML models for use by a non-technical audience, clearly communicating usage guidelines and best practices.
• Great attention to detail.
• 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 process large amounts of data.
• Experience implementing automating model training and data processing.
• Experience implementing various tooling for speeding up training.
• (Bonus) Experience building highly optimized layers (with C++, CUDA, etc.)
• (Bonus) Experience profiling and optimizing deep neural network performance.
• (Bonus) Experience scaling models past a billion parameters.

To join our team you must also:

• Be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and 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

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $155,000 - $175,000 and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A take-home assessment which involves implementing small suggested improvements from research papers in PyTorch
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

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.

Our Values

• Building with Intent: We build with intent and consider the impacts of what we are building and who we serve.
• Collaborate at Work: We work collaboratively and transparently with out team, customers, and voice actors, and the community.
• We are Accountable: We hold ourselves accountable for our technology, the biases in our processes, and trust in us.
• A Company That Lasts: We are building a lasting company by valuing people and resources, in pursuit of AI for Good.

About the AI2 Incubator:

The AI2 Incubator helps entrepreneurs come up with ideas, find co-founders, engage pilot customers, refine their product, work with research paper authors to incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding. They have a strategic relationship with the Allen Institute for A.I.—a world-leading research institute with over 200 A.I. PhDs, researchers, engineers, and support staff—allowing them to dive deep into the latest tech and access one of the most talented groups of researchers.

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