Steve Irvine featured in the Georgian Partners Impact Podcast

Steve Irvine featured in the Georgian Partners Impact Podcast

This week, our CEO Steve Irvine was featured in the Georgian Partners Impact Podcast. He chatted with the Impact team's Director, Market Insights, Jon Prial, about bridging the gap between social and business data to more accurately predict what people want. Check out the podcast to listen to Steve describe how integrate.ai is using artificial intelligence to make the interactions between people and businesses more natural and effective.

Listen to the podcast in full here.

Vector Institute Launch Video

Vector Institute Launch Video

The Vector Institute launched last week in Toronto and as a founding sponsor the integrate.ai team were thrilled to be part of it all. Watch this video we put together at the event and hear from some of the key people involved with the project including Chief Scientific Advisor, Dr Geoffrey Hinton, and the Vector Institute's Board of Directors Chair, Ed Clark.

Integrate.ai An Inaugural Sponsor of Vector Institute

Integrate.ai An Inaugural Sponsor of Vector Institute

Today’s launch of the Vector Institute —  a new independent research facility for artificial intelligence (AI) focused on deep learning and machine learning — is a very important event for Canada. The country is already a leader in academic research for AI and the Vector Institute will both extend that leadership and create the linkages to industry that are required to accelerate the commercialisation of AI technologies across our economy.

Over the past decade many of Canada’s top AI researchers have been recruited to work at Apple, Google and other global leaders. And while that is testimony to the quality of our universities, it also makes it difficult for Canada to maintain its leadership in AI research. With the launch of the Vector Institute there is now a new option for those researchers: to stay in Canada and work on open ended, transformational AI research problems, without being encumbered by either teaching requirements or the drive for applied research in the commercial world.

And by building linkages to industry including financial support from partners such as Integrate.ai, Georgian Partners and others, the Vector Institute is establishing strong commercial relationships that will help bring new AI research to market. That access to the best minds in deep learning and machine learning will represent a significant competitive advantage for those companies collaborating with the Institute, and for the wider Canadian technology ecosystem.

In the end, it will be the commercial partners of the Vector Institute, startups and enterprises alike, that will be the key to Canada’s long-term economic success in AI. Only by bringing new AI research to market as part of real products and services can Canada benefit fully from AI.

We’re excited to be supporting the Vector Institute and we look forward to collaborating with the team over the next few years.

 

Integrate.ai Hiring For Machine Learning Roles

Integrate.ai Hiring For Machine Learning Roles

We're looking for top candidates to join our team as Machine Learning Scientists and Engineers, please get in touch or email us directly at info@integrate.ai if you'd like to learn more. 

 

About Us: At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable. Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the centre of an exciting AI ecosystem.

 

Machine Learning Scientist

integrate.ai is looking for experienced machine learning scientists to drive the research and development of statistical and machine learning models that power our AI platform. This is a unique opportunity to join a fast growing team of creative and passionate individuals committed to bringing machine learning into the enterprise.

What you’ll be doing:

  • Research, develop, and validate models to generate recommendations, alerts, and other customer insights.
  • Research, develop, and validate models to automate customer-facing business processes.
  • Perform feature engineering and selection to support machine learning.
  • Work with business stakeholders and product manager to translate product requirements into machine learning research and development activities.
  • Work with architects and data engineers to gather and clean customer data.
  • Conduct statistical inference and unsupervised machine learning to discover trends and correlations.
  • Work with architects, data and quality assurance engineers to develop processes, monitoring, and testing automation frameworks to ensure data, insight, and model quality.
  • Work with architects and engineers on the delivery of analytical insights into product.
  • Document, communicate, and educate customers on product capabilities powered by statistical analysis and machine learning.

Your background:

You have 5+ years of hands-on machine learning experience, ideally in a high growth software development environment. You have a PhD or Master’s Degree in Machine Learning, Applied Statistics, Operations Research, or a related quantitative discipline. You have a deep understanding of statistical modeling and machine learning. You’re passionate about deriving insights from large datasets and you can communicate that passion to product managers and engineers. You have experience in the use of statistical analysis and machine learning tools, packages and languages such as Python scikit, R, Spark MLlib, SAS, TensorFlow, or MXNet. You have knowledge of SQL databases, NoSQL, and Hadoop environments .

 

 

Machine Learning Engineer

integrate.ai is looking for experienced software engineers to deliver machine learning-driven products. This is a unique opportunity to join a fast growing team of creative and passionate individuals committed to bringing machine learning into the enterprise.

What you’ll be doing:

  • Work with architects to design, build, maintain and optimize our data management and machine learning architecture.
  • Work with machine learning researchers to build data processing pipelines supporting data analysis and machine learning tasks, and automate data pipelines in production.
  • Work with machine learning researchers to deploy machine learning models in production.
  • Develop software to deliver and integrate machine learning product capabilities into the Integrate.ai platform.
  • Develop processes and frameworks to ensure data and model quality.
  • Perform code reviews and testing to ensure software quality is high and requirements are met.
  • Review software designs or prototypes with customers.
  • Diagnose and repair issues and assist customers with technical problems

Your background: You have 3+ years of experience in a high growth software development environment. You have experience developing machine learning-driven products. You’re interested and have done work in statistical and predictive modeling, and machine learning. You have a good understanding of data warehousing, data modeling and data architecting. You know how to work with machine learning researchers and can translate proof of concept models into production strength systems. Your development skills include Python, Node.js, Java, .NET, C#, relational databases such as SQL Server or MySQL, NoSQL databases, e.g, Redis or Cassandra, data processing frameworks such as Kafka, Spark, or Presto, and deep learning frameworks, such as TensorFlow or MXNet. You have a Bachelor’s Degree in Computer Science or a related field. 

 

 

Data Analyst

integrate.ai is looking for enthusiastic data explorers that will provide initial analyses to inform our machine learning models. This is a unique opportunity to join a fast growing team of creative and passionate individuals committed to bringing machine learning into the enterprise.

What you’ll be doing:

  • Work with data scientists and product manager to design experiments based on data exploration 
  • Work with engineers and scientist to conduct initial data exploration and cleansing on a variety of datasets
  • Conduct statistical inference to discover trends and correlations, to be used as a basis for experiment design
  • Work across teams to effectively communicate analyses and experiment results
  • Research and report on the statistical significance of experiments, advise on adjustments for future experiments
  • Document, communicate and promote improvements in the experimentation system
  • Define best practices for experimentation across multiple data sets
  • Work with architects and engineers on the delivery of analytical insights into product

Your background: You have 3+ years of experience in working in data analytics, ideally in the B2C space. You have experience working in a high growth software development environment. You have a degree in a quantitative field of study (eg: computer science, applied math, physics, economics or other sciences).

You have a strong background in experiment design and analysis. You have a good understanding of statistical modelling and you’re passionate about deriving insights from large datasets. You have a strong ability to communicate your discoveries to technical and nontechnical audiences. You have experience in the use of statistical analysis tools, packages and languages such as Python, R, Matlab or SAS. You have knowledge in SQL databases

 

 

Data Scientist

integrate.ai is looking for enthusiastic data scientist that will provide initial analyses on our customers data. Your analysis will help inform experiments to run with our customers as well as our machine learning models. This is a unique opportunity to join a fast growing team of creative and passionate individuals committed to bringing machine learning into the enterprise.

What you’ll be doing:

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Conduct data mining using state-of-the-art methods
  • Extend the customer’s and company data with third party sources
  • Work with product manager and data analyst to drive experiment design
  • Continually enhance data collection procedures to allow for faster experimentation
  • Process, cleanse, and verify the integrity of the data used for analysis
  • Complete ad-hoc analyses and present contextualized results to team members
  • Apply a growth mindset to make things a little bit better every day

Your background: You have 3+ years industry experience and a degree in a quantitative field (ie: computer science, applied path, physics, economics or other sciences); Graduate degree is a plus but a love of data is a must. Proven achievements from implementing data products (e.g. recommendation engines, experimentation systems). Experience with languages used for querying (e.g. SQL) and statistical analysis (e.g. Python/R). Proven ability to succeed in both collaborative and independent work environments.

INTEGRATE.AI’S STEVE IRVINE SAYS A BUSINESS WITH SOUL WILL ATTRACT AND RETAIN TALENT

INTEGRATE.AI’S STEVE IRVINE SAYS A BUSINESS WITH SOUL WILL ATTRACT AND RETAIN TALENT

At the latest TechTO, Integrate.ai founder spoke on the ways founders could put some ‘soul’ into their businesses. Just as no one can declare themselves “cool,” Irvine said that no one can declare that their business has soul. The former Facebook executive said he spends the majority of his time now defining what his business is going to be about. To him, the concept around “business soul” is what you do when no one is looking, together with what you do when everyone is looking.

Read the full article here or watch the video below.

Revolution AI: Following the money trail from seed to Series C to success

Revolution AI: Following the money trail from seed to Series C to success

Every few years a technology that takes over the business world captures the undivided attention of investment community. It happened with cloud, with mobile and with big data. Each of those technologies were responsible for creating an entire ecosystem of startups and investors.

Now it’s AI’s that is capturing investors’ interest.

Read the full article here.

Canadian executive leaves Facebook to launch AI startup in Toronto

Canadian executive leaves Facebook to launch AI startup in Toronto

Steve Irvine, founder and CEO of Integrate.ai joins BNN to talk about his latest project: Integrated.ai. The goal of this company is to make the interaction between business and customer easier and more natural.

You can watch the video here (requires Flash player).

Press Release: Integrate.ai Raises $5M Seed Round from Georgian Partners

Press Release: Integrate.ai Raises $5M Seed Round from Georgian Partners

February 6, 2017 – Toronto, ON: Integrate.ai, a Toronto-based AI-first enterprise software company, announced today that it has raised a landmark $5M USD seed investment from Georgian Partners.

Founded in January 2017 by former Facebook executive Steve Irvine, Integrate.ai is a leading platform for large enterprises to train AI-enabled solutions that drive customer engagement and revenue growth.

Integrate.ai plans to aggressively expand its research and development capabilities in Toronto where there is a significant pool of artificial intelligence (AI) and software engineering talent.

Former Facebook executive’s AI startup snags an unlikely Canadian investor

Former Facebook executive’s AI startup snags an unlikely Canadian investor

Sean Silcoff in the Globe and Mail:

"When Steve Irvine headed Facebook Inc.’s marketing partner program, he met dozens of top Fortune 500 CEOs eager to learn about the latest technology trends. “The number one question [they had] was … “Who’s the Uber of my industry that will disrupt me?’” he says. “And, ‘What new technology advance will they use to facilitate that?’”