Grammarly · 6 days ago
Machine Learning Engineer, Growth
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Artificial Intelligence (AI)Copywriting
Insider Connection @Grammarly
Responsibilities
Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems.
Help Growth EPD and Marketing teams make data-driven decisions.
Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design.
Work cross-functionally with various teams: Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product, to name a few.
Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
Qualification
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Required
Must be based in the United States or Canada
Must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based
Solid software engineering fundamentals, including knowledge of classical algorithms and data structures
Solid understanding of the principles and best practices of developing software systems on a large scale
Ability to apply machine learning algorithms to ad optimization tasks effectively
Strong knowledge of probability and statistics
Expertise in Python, its ecosystem, and Python-based ML tools and frameworks
Experience in Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics
Benefits
Excellent health care
401(k) and RRSP matching
Paid parental leave
Twenty days of paid time off per year
Eleven days of paid holidays per year
Unlimited sick days
Home office stipends
Caregiver and pet care stipends
Wellness stipends
Admission discounts
Learning and development opportunities
Company
Grammarly
Grammarly is an AI writing assistance company that delivers real-time writing feedback.
H1B Sponsorship
Grammarly has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (21)
2022 (18)
2021 (23)
2020 (21)
Funding
Current Stage
Late StageTotal Funding
$400MKey Investors
General Catalyst
2021-11-17Private Equity· $200M
2019-10-10Series Unknown· $90M
2017-05-08Series Unknown· $110M
Recent News
2024-05-31
The Mac Observer
2024-05-01
Company data provided by crunchbase