Deep Learning Engineer
Engineering | Kitchener, Ontario, Canada | Full Time
Dialpad's product suite covers the full range of modern business communications needs with Dialpad Talk, Support, Sell, and UberConference. All products are powered by VoiceAI, Dialpad's proprietary technology that helps companies unlock conversation insights, improve productivity and drive better performance across teams.
Who we are:
At Dialpad, we're a team of doers. 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 create 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 talent from iconic companies like Microsoft and Google as well as powerhouse startups like Hootsuite, Weebly and Anaplan. 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 an ML Engineer at Dialpad, you’ll be solving ML problems using the latest techniques in deep learning. This also includes classic ML, NLP and possibly computer vision in 2019. Current or planned projects include entity-level sentiment, NER, building word-, contextual and sentence-level semantic embeddings for NLP, interlingual embeddings, multimodal emotion recognition, gestural recognition, automating punctuation for speech recognition output, powering semantic search, and abstractive summarization.
You will have access to proprietary data and technology stacks. You will be supported by data engineers and a data curation team so you can focus on model development. There will be many opportunities for collaboration with other ML engineers and more junior data scientists will look to you for advice.
Expert level understanding of the theory and practice of state-of-the-art deep learning
Vast experience training and tuning deep networks
Excellent problem-solving skills
Solid machine learning experience
Clean python (thoughtful, concise & easily readable code)
You have solved hard problems.
Enjoys a highly collaborative environment
Ability to thrive in a fast-moving, evolving work environment
Experience with Tensorflow, Keras, Scikit-learn and other ML/DL packages.
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 plans for you and your dependents.
We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.
We believe in your future as much as you do! That's why we offer a yearly stipend for continued learning and education expenses.
Bon Appetit! Enjoy catered lunches, free snacks & drinks (both health and unhealthy - no judgment!)
Location, Location, Location
San Francisco <> San Ramon <> Austin <> Raleigh <> Vancouver <> Kitchener <> Tokyo <> New York. From coast to coast, our offices are nestled in active and growing downtown areas
Dialpad is an equal opportunity employer; we believe in creating a community of inclusion and an environment free from discrimination or harassment.