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Machine Learning Research Developer - Student

Location: 

Calgary, AB, CA

Company:  ExxonMobil

Job description

As a member of the Architecture & Technology team, you will work closely with Technology Architects to develop prototype solutions using machine learning and deep learning to address challenging business problems. 

This may involve technologies, such as Python, Scikit-Learn, Tensorflow, PyTorch, cognitive API frameworks and others. This includes interfacing with business and technical contacts, seeking new and innovative approaches, developing prototypes and explaining ideas to a broad audience.


Some examples of specific job responsibilities are:


Development of Prototype Solutions Leveraging Machine Learning

  • Learning about a specific business opportunity or problem
  • Seeking innovative solution approaches involving data science/machine learning/artificial intelligence
  • Reviewing and reproducing latest research in deep learning & AI literature
  • Acquisition and preparation of data needed for development of models
  • Development of predictive models
  • Documentation and presentation of key ideas

Evaluation of New Technologies and Frameworks

  • Participate in evaluation of new products and solutions
  • Advise on technologies used by these products

Development of prototype solutions using Pre-built Components

  • Utilize technologies, such as Amazon Alexa, Cognitive APIs from Microsoft/Google/Amazon and Microsoft Bot Framework to build prototypes and demonstration solutions

Technology Awareness

  • Learn about latest advances in deep learning and data science
  • Reproduce algorithms described in published research in the area of deep learning using company’s computing platforms and data
  • Learn about latest AI offerings from vendors, such as Microsoft, Amazon, Google and others
  • Learn about existing tools/technologies that are offered by ExxonMobil IT

 

Click in our link to hear from one of our past students.

Qualifications

Academic:

  • 3rd or 4th year Engineering, Computer Science, Mathematics, Statistics, or Business students interested in a career in data science returning to full-time studies after the work term
  • Enrolled in Masters or PhD-level degree program in the area of Machine Learning, Data Science or Computer Science is preferred
  • To be considered for employment, your most recent unofficial transcript(s) must be submitted with your application


Other:

  • Ability to build data preparation scripts using Python and other higher-level tools
  • Ability to write machine learning models in Python utilizing libraries, such as Scikit-Learn and Tensorflow
  • Interest in learning about latest advances in machine learning and deep learning
  • Strong interpersonal, listening, verbal and written communication skills
  • Ability to work effectively in a team environment to accomplish organizational goals
  • Demonstrate sound analytical and problem-solving skills
  • Highly motivated individual able to work with minimum supervision
  • Capability to rapidly learn and apply new IT technologies and then to teach and train others
  • Flexibility in dealing with changing priorities and short deadlines

 

 

Start date: May 2019 (start date negotiable)

 

Work term: 16 months preferred, 12 months considered

 

Location: Calgary, AB

Your benefits

This position will provide you with an opportunity to leverage your skills in support of a large integrated resource company. For example:

  • Work in a high diversified, caliber and collaborative learning environment.
  • Receive on-the-job experience, coaching and training.
  • Gain knowledge/experience in project coordination and implementation skills, IT Infrastructure and IT Facilities.
  • Gain technical and business background in the operations of the oil & gas resource industry through participation in various networking programs
  • Deliver optimum technical solutions within data and technology architecture
  • Utilize desktop, client/server, and network technologies

Who we are

At ExxonMobil Business Support Centre Canada ULC (EMBSCC) we are an integral part of a worldwide network of business support  centres that provide financial, technical, information service,  transactional, and customer service support for ExxonMobil’s  global operations.

 

Other considerations

  • For applicants selected to be interviewed, pre-employment background screening will be required.
  • We thank all those who apply; however, only those candidates selected for interviews will be contacted.

 

Eligibility to work in Canada

All applicants who receive an offer of employment must be eligible to work in Canada on their start date.  Proof of eligibility shall be in the form of a Canadian birth certificate, Canadian passport, Canadian citizenship certificate, Canadian certificate of permanent residence, Canadian open work permit or receipt from Immigration Canada of an application for a post-graduate work permit. Proof of eligibility must be current and valid (not expired, cancelled or voided). Proof of eligibility will be required if an offer of employment is made. Failure to provide proof of eligibility at least six (6) weeks prior to the start date may result in the offer of employment being rescinded.

 

Application deadline: January 27, 2019

 

 

 

 

The ExxonMobil Business Support Centre Canada is committed to providing equitable treatment and equal opportunity to all individuals.

In certain situations, ExxonMobil may use your application to consider your suitability for other positions within the Company and may also provide the information to its affiliates, including Imperial Oil and affiliates of Exxon Mobil Corporation, in connection with possible opportunities at those affiliates.


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