Recherche d'emploi > Toronto, ON > Machine learning engineer

Machine Learning Engineer

Plunge
Old Toronto, ON, Canada
110K $-175K $ / an
Temps plein

Plunge - Machine Learning Engineer

About Us

Plunge is a company for passionate engineers, led by passionate engineers. We build and ship products for our clients - startups backed by category-defining VCs such as Sequoia, a16z, investment funds, as well as F500 companies.

They come to us to expand their engineering teams across Canada, to tackle some of their hardest internal and external engineering problems.

Responsibilities

Design, develop, test, and ship production machine learning code to production

Maintain a sense of ownership on the entire process above

Uphold our high engineering standards and bring consistency the codebase you’ll work on

Requirements

3+ years of hands-on software engineering experience

Proficiency in languages and libraries commonly used in ML, including Python and PyTorch

Deep understanding of underlying neural network architectures

Experience working with GPT and other transformer models, and prompt engineering

Experience integrating transformer models into end-to-end pipelines with related NLP and vision tasks

Strong track record in leading and driving projects to the finish line, even under ambiguity

Strong verbal and written communication skills

Candidates we like tend to be

Intellectually curious

Strongly passionate about building and owning a product from end to end

Deeply caring for customer’s needs

We look for signs of extraordinary talent and curiosity more than any particular skill or experience.

Base salary range of CAD $110,000 - $175,000 a year

At Plunge, our mission is to cultivate a workplace grounded in diversity, equity, and inclusivity. Our doors are open to candidates from diverse backgrounds, experiences, and identities, eager to contribute to our inclusive culture.

We strongly believe that innovation is fostered by the myriad of perspectives brought by people from all walks of life.

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Il y a plus de 30 jours
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