Engineering Manager, Machine Learning — WellSaid

Who We Are: WellSaid Labs

We’re creating 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.

Who You Are: A People-First Engineering Leader

An experienced and collaborative engineering manager, you are an empathetic leader, and a strong communicator. You thrive in a startup environment, have experience building up engineering teams to productize research, and have prior experience managing machine learning teams. You are passionate about pushing the state-of-the-art in deep learning ethically.

How You’ll Contribute:

As an Engineering Manager in Machine learning, you will work closely with our Engineering Leadership to instill best practices, execute on complex pioneering deep learning efforts, and mentor our team mates. You will lead our team in improving our state-of-the-art text-to-speech models alongside content moderation. You will be leading both our data engineers and software engineering in maturing our platform and applying our research.

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

• Build out our machine learning team from 5 to 10 through thoughtful planning and onboarding.
• Roadmap machine learning initiatives, and keep people up-to-date. Break down big initiatives into smaller tasks.
• Ensure that complex projects be planned, executed, and successfully delivered according to common cross-team standards.
• Manage multiple machine learning projects simultaneously, leading backlog grooming and sprint planning, and generally ensuring that deliverables are met on time.
• Work one-on-one with team members to meet their needs, giving team members regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
• Work side-by-side with the team to demonstrate your knowledge and keep your skills current.
• Conduct design and code reviews with the team.
• Adapt and train the team in best practices for machine learning and software engineering. This includes adhering to the scientific process for research. And various engineering philosophies including testing, documentation, readability, defensibility, etc.
• Help build customer empathy by introducing, discussing and reviewing customer use-cases.
• Surface and lead discussions on the ethics and social impact of the team's work.
• All together you’ll foster an inclusive team culture and working environment.

What We’re Looking For

To thrive in this role, you ideally have experience developing and extending difficult deep learning models in PyTorch, an aesthetic for crafting readable delightful code, and a genuine care for employees as people.

Ideally, you also have some combination of the following:

• Experience leading the development of a mature production machine-learning service.
• 2+ years of experience using Pytorch professionally.
• You have built and deployed ML models for a non-technical audience, clearly communicating usage guidelines and best practices.
• You deeply understand deep learning RND workflows, practices, and techniques.
• 2+ years of experience managing a software engineering team.
• You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
• Excellent communication and collaboration skills to work effectively with cross-functional teams, including data engineers, product managers, and other stakeholders.
• You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
• You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.

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 $180,000 - $210,000 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.
• An Interview loop with 5-6 interviews (1 hour each) with the team members you will be potentially working with, 2 of which will incorporate coding elements.

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.

PRIVACY NOTICE & DISCLAIMER: This job post is managed by The Allen Institute for Artificial Intelligence (AI2). AI2's job posts may include open roles for third parties, where applications are coordinated with the hiring party. By submitting your application, you hereby consent to AI2 processing your information as described in its Privacy Policy. You further consent to AI2's disclosure of your information and application materials to AI2 Incubator Inc. or AI2 Incubator startup companies.