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.