Manager-Chief Engineer - Seattle, WA, United States - Allen Institute for AI (AI2)

Description

Engineering Manager, Machine Learning — WellSaid

Who We Are:
WellSaid Labs

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.

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.
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. 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.

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.

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.

Experience leading the development of a mature production machine-learning service.
~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. Citizen or Permanent Resident
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.

Competitive salary and stock options
Full medical, dental, and vision insurance
Generous vacation policy/paid time off
Home office stipend

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.

All interviews will be remote via Google Meets; 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.

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.

A Company That Lasts:
We are building a lasting company by valuing people and resources, in pursuit of AI for Good.

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.

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.

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. #