Engineering Manager, WellSaid Labs
Machine Learning
$185-220k
+Stock options
More information about location
AI text-to-speech technology
Be an early applicant
AI text-to-speech technology
21-100 employees
Be an early applicant
$185-220k
+Stock options
More information about location
21-100 employees
Company mission
To empower everyone with AI voice.
Role
Who you are
- 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
- To thrive in this role, you ideally have extensive experience in leading high-performing engineering teams. Ideally with, but not required, knowledge in building deep learning models in PyTorch
- Ideally, you also have some combination of the following:
- 5+ years of experience managing a software engineering team and a proven track record
- 2+ years of experience using Cloud platforms (GCP, AWS, etc),
- Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory
- 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 software engineers, data engineers, product managers, execs, 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
- Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus
- Be a U.S. Citizen or Permanent Resident
- Pass a pre-employment background check
What the job involves
- As an Engineering Manager of Machine Learning, you will work closely with our Engineering Leadership to instill best practices, drive execution on complex and pioneering deep learning efforts, and mentor our teammates
- You will play a critical role in providing technical guidance—pushing back on design ideas and processes when needed, asking the right questions, and fostering a culture of thoughtful execution
- Your leadership will help shape the direction of our ML initiatives, ensuring both technical excellence and strategic impact
- You will lead our team in improving our state-of-the-art text-to-speech models
- You will be leading both our software engineering and data engineers in maturing our platform and applying our research
- Build and lead a high-performing and collaborative machine learning team, fostering an environment of innovation, growth, and accountability
- Collaborate with Product Management and other stakeholders to define, prioritize, and deliver the ML roadmap, aligning it with business goals and technical feasibility
- Ensure that complex projects are effectively scoped, planned, executed, and delivered on time while meeting cross-team quality standards
- Oversee multiple concurrent machine learning projects simultaneously, facilitating planning, and generally ensuring that deliverables are met on time
- Own and run team standups, sprint planning, and other delivery ceremonies
- Work one-on-one with team members to meet their needs, providing regular and constructive feedback
- You’ll show concern and success for the well-being of others and do what you can to support people
- Conduct design, code and pull request reviews with the team
- Champion best practices in machine learning and software engineering including testing, documentation, readability, defensibility, etc
- Manage team resources effectively by prioritizing projects based on impact while balancing budget constraints for infrastructure (e.g. , compute resources) or tooling needs
- Foster customer empathy within the team by introducing real-world use cases, facilitating discussions on customer pain points, reviewing feedback loops, and ensuring alignment with user needs
- All together you’ll foster an inclusive team culture and working environment
Application process
- Pass a pre-employment background check
- During the interview stage, you can expect:
- An introductory interview with recruiting (30-45 minutes)
- An interview with our CPTO (45 minutes); if there’s a match we’ll schedule an interview loop with the team
- An Interview loop with 4 interviews (1 hour each) with the team members you will be potentially working with, 1 of which will incorporate coding elements
- All interviews will be remote via Google Meet; we are happy to make accommodations you might need to feel comfortable and set up for success in our process
Our take
WellSaid Labs offers creative teams a real time text-to-speech engine that leverages AI to produce natural-sounding voice overs and clips, all based on the voices of real people.
The most common rebuttal to this kind of technology is how it can be used with malicious intent – deepfakes being the most pertinent concern. This is precisely why WellSaid Labs has no current intention to bring its product to a consumer market – a wise decision. It’s also worth noting that all its voice samples are provided with consent of the original talent.
Provided the pricing point is right, there’s an obvious attraction to being able to quickly create audio content at an enterprise level. And the fact that the startups first major funding round was oversubscribed indicates that investors see this attraction too. It'll be an interesting company to keep an eye on in coming years.
Steph
Company Specialist at Welcome to the Jungle
Insights
67% employee growth in 12 months
Company
Funding (1 round)
Jul 2021
$10m
SERIES A
Total funding: $10m
Company HQ
Northlake, Seattle, WA
Leadership
Michael Petrochuk
(Founder & CTO)Previously founded AI fashion advice app Wardrobe.Tips and location based social network Chirpp. Former Developer and Engineer at vCita and Stylize, also interning at Google and Uber.
Brian Cook
(CEO)Founder of Incredible Capital. Previously co-founded and served as the CEO at Hyperfish, Nintex, and OBS.
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