At a Glance
- Tasks: Drive research innovation in natural language processing and collaborate with top researchers.
- Company: Join Grammarly, a leader in AI writing tools with a focus on collaboration.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team with global collaboration opportunities.
- Why this job: Make a real impact on AI technology and enhance user experiences.
- Qualifications: Strong knowledge of natural language processing and experience in Deep Learning.
The predicted salary is between 135000 - 165000 $ per year.
Drive research innovation at Grammarly as a Strategic Research Scientist focusing on natural language processing.
Collaborate with top researchers and make a tangible difference in AI writing tools.
You will be part of a dedicated team that tackles advanced research problems, utilizing cutting-edge datasets and resources to propel Grammarly's technology forward.
This role emphasizes collaboration with product teams to develop features that significantly enhance user experience.
Publishing research and participating in the community is encouraged to popularize advancements in the field.
Key
Responsibilities
- Investigate advanced natural language processing challenges
- Work with product teams to innovate new features
- Utilize datasets for effective research outcomes
- Share research at industry conferences
- Collaborate internationally with research and industry partners
Requirements
- In-depth knowledge of natural language processing
- Experienced in Deep Learning and ML frameworks
- Commitment to teamwork in a hybrid work environment
- EAGER values alignment and adaptability
- Proven capability to conduct impactful, strategic research
Be part of an innovative team reshaping the future of writing assistance at Grammarly. #J-18808-Ljbffr
Strategic Research Role in Natural Language Processing 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.
