Staff Machine Learning Engineer

Toronto, Canada

Full Time Senior-level / Expert
Company DescriptionHyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit www.hyperscience.com.
Job Description
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. 
Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.
This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers.

Responsibilities

  • Lead the planning, design, and implementation of the ML projects.
  • Follow ML research and apply it to create technologies for business automation
  • Own ML models end-to-end, from collecting training data to deploying in production
  • Serve as a mentor to junior team members and a standard-bearer for engineering best practice
  • Manage the collaboration and communications with project stakeholders

Qualifications:

  • Minimum five years of industry experience in Machine Learning or related fields.
  • Solid understanding of Math and CS fundamentals related to Machine Learning algorithms
  • Practical experience  in Deep Learning technologies (applying ML research to real-world projects) 
  • Professional experience with Tensorflow/Pytorch or other popular ML framework
  • Previous experience in leading multi-person projects and building end-to-end Machine Learning systems
  • Experience with one or more general purpose languages (Java, C/C++, Python, etc.)
  • Team player with strong communication skills
  • BS, MS or PhD in Computer Science, Engineering or a related technical field
  • Experience in Natural Language Processing is a plus
  • #Li-Remote
Benefits- Top notch medical and dental coverage for you and your family- 30 days of paid leave annually to help nurture work-life symbiosis- Stock options- Wellness stipend- Pre-tax transportation and commuter benefits- 6-month parental leave (or double salary to pay for your partner's unpaid leave)- Free travel for any person accompanying a breastfeeding mother and her baby on a business trip- A dependent care stipend up to $3,000 (USD) per month, per child, under the age of 21 or parent over the age of 65, for a maximum of $6,000 (USD) per month total- Budget to attend conferences, train, and further your education- $1,250 (CAD) one-time-use WFH stipend and $95 (CAD) monthly WFH stipend- Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Job region(s): North America
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