At a Glance
- Tasks: Enhance marketing tech by developing scalable machine learning solutions for ad optimization.
- Company: Join Grammarly, a leader in AI-driven writing assistance and marketing innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting career advancement opportunities.
- Why this job: Make a real impact on marketing strategies using your machine learning skills.
- Qualifications: Proficient in Python, with knowledge of ML tools and ad optimization techniques.
The predicted salary is between 135000 - 165000 $ per year.
Enhance Grammarly's marketing technology as a Machine Learning Engineer specializing in ad optimization.
Leverage data and algorithms to refine marketing strategies and improve campaign outcomes.
You will become an integral part of our Marketing Technology team, focusing on driving business successes through scalable machine learning solutions.
Ideal candidates should have a solid foundation in software engineering and machine learning applications in advertising.
Collaborate with diverse teams to ensure marketing initiatives are grounded in data insights.
Key
Responsibilities
- Develop scalable solutions for complex marketing challenges
- Facilitate data-driven decision-making in marketing
- Personalize customer interactions and marketing efforts
- Elevate machine learning practices within the team
- Effectively share results with non-expert stakeholders
Requirements
- Proficient in Python and its ML tools
- Familiarity with ad optimization techniques and platforms
- Understanding of algorithms, data structures, and statistics
- Experience with marketing performance metrics
- Availability for in-person collaboration as needed
Elevate marketing strategies and outcomes with your machine learning expertise at Grammarly. #J-18808-Ljbffr
Machine Learning Engineer 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.
