At a Glance
- Tasks: Drive scalable ML solutions to enhance marketing strategies and customer experiences.
- Company: Join Grammarly's innovative Marketing Technology team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data-driven insights and career advancement.
- Why this job: Make a real impact on marketing strategies using your machine learning expertise.
- Qualifications: Strong software engineering fundamentals and experience in ML applications for ads.
The predicted salary is between 135000 - 165000 $ per year.
Join Grammarly's Marketing Technology team as a Machine Learning Engineer, advancing marketing strategies through data analysis and innovative solutions.
This role focuses on enhancing customer experiences and ad effectiveness.
As a key player, you will utilize machine learning to foster growth and impact top business KPIs.
Collaborating with interdisciplinary teams, you'll build scalable solutions that optimize advertising efforts and enhance brand messaging effectiveness.
Your contributions will directly influence marketing strategy and customer acquisition.
Key
Responsibilities
- Drive scalable ML solutions for marketing challenges
- Empower teams with data-driven marketing insights
- Impact KPIs like bookings revenue and user retention
- Share machine learning findings with business stakeholders
- Collaborate with marketing analytics and product teams
Requirements
- Solid fundamentals in software engineering
- Strong background in ML applications for ads
- Expertise in statistics and probability rules
- Proficiency in Python and ML frameworks
- Experience in marketing performance optimization
Harness your machine learning skills to create meaningful marketing advancements at Grammarly. #J-18808-Ljbffr
Machine Learning Engineer – Marketing Technology in Winnipeg employer: Grammarly
Grammarly is an exceptional employer that champions innovation and collaboration in a hybrid work environment, allowing Growth-Focused Machine Learning Engineers to thrive. With a strong emphasis on employee growth, you will have access to unique opportunities for professional development and in-person teamwork at our hubs, fostering a vibrant and supportive culture. Join us to make a meaningful impact on marketing performance while working alongside passionate individuals who share your commitment to excellence.
