Founding Machine Learning Engineer

OnDeck AI; Vancouver; On-site; CAD 90,000 - 120,000; Full time

Job summary

A technology startup in Vancouver seeks a Machine Learning Engineer to build innovative systems that tackle visual tasks. Candidates should have a robust background in machine learning and engineering fundamentals, alongside experience in early-stage startups. This full-time role offers autonomy in a highly technical and agile environment, with ample resources to support your work. Autonomy and a passion for building novel solutions are essential. Opportunities to transition to the San Francisco office may also be available.

Qualifications

• Experience building machine learning systems.
• Strong empirical intuition in engineering.
• Prior work in early-stage startups.

Responsibilities

• Build novel machine learning systems.
• Work in a fast-paced technical environment.
• Collaborate with small agile teams.

Skills

Machine Learning

Engineering fundamentals

Applied research

Job description

We’re looking for a generalist Machine Learning Engineer who loves to build, has strong ML and engineering fundamentals, and has excellent empirical intuition. You should have built something in the past that did not exist before, ideally doing novel (applied) research. We also strongly value experience building machine learning systems and working in early-stage startups.

This will be full time, in person in our Vancouver office. Expect an environment that is fast, highly technical and uncompromising. Ideas move quickly, and we will challenge you to not just keep pace, but set it. You will have the option to move to SF too once we establish there.

Our teams are kept small and agile to limit layers of unnecessary process. Autonomy is expected and in exchange, resources are ready available to support your work.

We are building systems that solve any visual tasks across any domain. You will be core to bringing this to life.

Backed by Y Combinator, our clients span robotics, conservation and national defence agencies.