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Machine Learning Manager 

Engineering | Kitchener, Ontario, Canada | Full Time

Job Description

Senior Machine Learning Manager 

Dialpad is the cloud-based phone system that powers voice, video, and messages all from a single platform. With a beautifully intuitive interface that works on your existing devices, your phone system is finally as adaptable as your team. Now Dialpad has VoiceAI, a unique feature that brings the power of speech recognition and NLP to extract actionable insights from calls.

Who we are: 

At Dialpad, we're a team of do-ers. A team that thinks outside the box and when that doesn't work, we reinvent it. We don't settle for the status quo and neither do the things we build. Led by the same minds behind Google Voice, we build products that get businesses talking—whether it's across the hall, street, or country.

With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC’s Dialpad attracts top engineers from companies like Microsoft and Google, and every member of our team plays an essential role in creating dynamic products that don’t just combine design and mobility but works with you wherever productivity may strike.

About the Role

As Senior Machine Learning Manager at Dialpad, you will be a key player in further developing our A.I. technology. You will build a team of ASR and NLU engineers in Kitchener, capable of training state of the art speech recognition models and solving innovative NLU problems to understand and extract insights from business telephone conversations. You will work in close partnership with our North American ML team and greatly augment our progress on entity-level sentiment analysis, abstractive summarization and a unique twist on intent classification. Our goal is to stand out as the leader in our space in terms of capturing, representing and making useful the knowledge exchanged in these conversations.

To tackle these problems, we will equip you with all the resources an ML team needs: massive amounts of proprietary data (millions of call recordings and transcripts, nearly half a million NLU labels), a mature label acquisition pipeline for your supervised ML models (including a team of 20 labelers) and an amazing engineering team to manage data availability and model deployment. All this so your team can focus on what you do best: building amazing models. 


  • Minimum of 5 years of experience successfully managing a machine learning team

  • Excellent project management skills, proven ability to scope projects and deliver quality models on time.

  • Proven ability to quickly hire talented machine learning engineers (we focus on ASR/NLU)

  • You have great interpersonal skills, lead individuals to thrive and have a record of effective team management

  • Excellent English and communication skills

  • You are passionate about the space, technology, and product

  • Bonus: Prior work in Speech recognition, NLU or telephony/call center analytics.

 About Us

Joining our team means collaborating with people that aren’t just passionate about their work but about Argentine tango, musicals, sushi burritos, comic books - you name it. Because if you’re going to redefine the status quo, you need a group of people hungry to do more, to see more, and be more than where they started.

There is no idea too crazy and no task too small — we work together to make things we’re proud of.

Compensation & Equity 

Teamwork makes the dream work. We recognize that our dedicated team members are what make our success. That’s why we offer competitive salaries in addition to stock options.


An apple a day keeps the doctor away - and it doesn’t hurt that we offer 100% paid Medical, Dental and Vision Plan employee coverage.


We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.

Location, Location, Location

San Francisco <> San Ramon <> Austin <> Raleigh <> Vancouver <> Kitchener <> Tokyo <> San Jose <> New York <> Bengaluru. From East to West, our offices are nestled in active and growing downtown areas.