Staff Machine Learning Engineer
Toronto, Canada
Applications have closed
Hyperscience
Hyperscience helps you automate your document processes and turn unstructured content into structured actionable data. Find out more!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
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.
Tags: C++ CAD Computer Science Computer Vision Deep Learning Engineering Machine Learning ML models NLP PhD Python PyTorch Research TensorFlow Unstructured data
Perks/benefits: Career development Conferences Equity Health care Medical leave Parental leave Relocation support Startup environment Travel Wellness
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