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Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!

Grammarly

Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!

full-timePosted: Dec 16, 2025

Job Description

Applied Research Scientist at Grammarly - Berlin, Germany (Hybrid)

Role Overview

Grammarly, now part of Superhuman, is revolutionizing productivity with AI-powered tools that enhance communication worldwide. We're seeking a talented Applied Research Scientist to join our Agents team in Berlin, Germany under a hybrid work model. This senior-level role offers the chance to pioneer cutting-edge NLP, ML, and DL solutions that impact millions of users daily.

Superhuman's mission is to unlock superhuman potential through AI integration across 1 million+ applications. Our suite includes Grammarly's writing assistance, Coda workspaces, Mail management, and the proactive Go AI assistant. With 40 million users and rapid growth, this position places you at the forefront of AI innovation in a collaborative, high-impact environment.

The Applied Research Scientist will bridge research and production, developing features that help users write better, faster, and more effectively. You'll contribute to ideation, define technical solutions, and ship intelligent functionalities across our product ecosystem. If you thrive on solving complex NLP challenges while scaling systems for global reach, this role is your opportunity to shape the future of AI productivity.

Key Responsibilities

As an Applied Research Scientist, you'll drive innovation from research to deployment:

  1. Develop advanced NLP, ML, and DL tools for English text correction, improvement, and enhancement.
  2. Productize research prototypes into scalable features used by millions daily.
  3. Monitor and incorporate the latest trends from top conferences like NeurIPS, ICML, and ACL.
  4. Shape the company's research strategy and foster a world-class technical culture.
  5. Attract and mentor top ML professionals to build an elite research team.
  6. Collaborate with product managers and engineers on ideation and solution definition.
  7. Design and execute experiments to validate model efficacy and user impact.
  8. Optimize transformer models and LLMs for production efficiency.
  9. Integrate AI agents seamlessly across Superhuman applications.
  10. Analyze large-scale user data to uncover AI enhancement opportunities.
  11. Represent Grammarly/Superhuman at industry events and publish groundbreaking research.
  12. Scale ML infrastructure to handle exponential growth in users and data.
  13. Contribute to technical blogs and documentation to advance team knowledge.

Qualifications

To succeed, you'll bring:

  • Strong theoretical foundation in ML/DL algorithms, including transformers and optimization techniques.
  • 6–7+ years industry experience developing ML/DL for real-world products.
  • 4–5+ years specialized research in NLP, text generation, or related areas.
  • Proven success shipping production ML systems at scale.
  • Advanced degree (PhD preferred) in CS, ML, or equivalent.
  • Expertise in PyTorch/TensorFlow, Python, and MLOps tools.
  • Experience with LLMs, NER, sentiment analysis, and text augmentation.
  • Track record of publications or contributions to open-source ML projects.
  • Strong cross-functional collaboration and communication skills.
  • Passion for AI's role in eliminating busywork and boosting productivity.
  • Ability to thrive in hybrid, fast-paced startup culture.

Salary & Benefits

Competitive compensation reflects your expertise: estimated $120,000–$180,000 USD yearly base (adjusted for Germany), plus equity, bonuses, and perks. Full package includes:

  • Hybrid model balancing focus time and in-person collaboration.
  • Comprehensive health, dental, and vision insurance.
  • Unlimited PTO with encouraged recharge periods.
  • Generous parental leave and family support.
  • Stock options in high-growth Superhuman.
  • Professional growth stipend for conferences/courses.
  • Ergonomic home office setup.
  • Team-building retreats across Europe.
  • Wellness programs including mental health resources.
  • Free access to all Superhuman products.
  • Visa/relocation support for international hires.
  • Catered meals and daily perks on office days.

Why Join Grammarly?

Grammarly/Superhuman isn't just a job—it's a mission to transform how 40M+ people work. Our Berlin hybrid team combines German engineering precision with Silicon Valley innovation. Enjoy autonomy to pursue breakthroughs, influence product roadmaps, and work with top talent. We've empowered 50K organizations and 3K institutions globally. Dive into our values and tech stack. Join us to eliminate busywork and supercharge human potential.

Berlin's vibrant tech scene, multicultural vibe, and work-life balance make it ideal. Hybrid flexibility means best-of-both-worlds: deep work from home, trust-building in-office.

How to Apply

Ready to impact millions? Submit your resume, cover letter highlighting NLP/ML experience, and links to publications/GitHub. Our team reviews applications weekly. We prioritize diverse perspectives and skills over credentials. Interviews include technical deep-dive, research presentation, and team fit. Questions? Email careers@grammarly.com. Let's build the future of AI together!

Locations

  • Berlin, Germany
  • Munich, Germany

Salary

Estimated Salary Rangehigh confidence

126,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Machine Learning (ML)intermediate
  • Deep Learning (DL)intermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Transformer Modelsintermediate
  • Large Language Models (LLMs)intermediate
  • Text Generationintermediate
  • Sentiment Analysisintermediate
  • Named Entity Recognition (NER)intermediate
  • Production ML Systemsintermediate
  • Research Publicationintermediate
  • Algorithm Optimizationintermediate
  • Data Annotationintermediate
  • Model Deploymentintermediate
  • A/B Testingintermediate
  • Cloud Computing (AWS/GCP)intermediate

Required Qualifications

  • Strong theoretical foundation in ML/DL algorithms and methodologies (experience)
  • Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products (experience)
  • Additional 4–5 years of research experience in NLP or related fields (experience)
  • Proven track record of shipping ML models to production (experience)
  • PhD or Master's degree in Computer Science, Machine Learning, or related field preferred (experience)
  • Deep expertise in transformer architectures and large language models (experience)
  • Experience with PyTorch or TensorFlow frameworks (experience)
  • Strong Python programming skills and experience with ML libraries (experience)
  • Familiarity with production ML systems and MLOps practices (experience)
  • Excellent communication skills to collaborate with cross-functional teams (experience)
  • Publications at top ML conferences (NeurIPS, ICML, ACL) highly desirable (experience)
  • Experience working in fast-paced startup environments (experience)

Responsibilities

  • Develop state-of-the-art NLP tools for correcting and enhancing written English
  • Productize and deploy ML features into Superhuman's production systems
  • Stay current with latest research trends in NLP, ML, and DL
  • Contribute to research strategy and technical roadmap planning
  • Collaborate with product and engineering teams on feature ideation
  • Build and optimize deep learning models for text generation and improvement
  • Conduct experiments and A/B tests to validate model performance
  • Mentor junior researchers and attract top ML talent
  • Define technical approaches for solving complex NLP problems
  • Integrate AI agents across Superhuman's application suite
  • Analyze user data to identify opportunities for AI improvements
  • Publish research findings and represent the company at conferences
  • Scale ML infrastructure to support millions of daily users

Benefits

  • general: Dynamic hybrid working model with flexible focus and collaboration time
  • general: Competitive salary with performance-based bonuses
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off and parental leave
  • general: Stock options in a high-growth AI company
  • general: Professional development budget for conferences and courses
  • general: Home office setup allowance
  • general: Company-sponsored team retreats and offsites
  • general: Mental health and wellness programs
  • general: Free Grammarly and Superhuman product subscriptions
  • general: Visa sponsorship for international talent
  • general: Daily team lunches and catered meals (in-office days)
  • general: Learning opportunities with world-class researchers

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Applied Research Scientist jobs GermanyNLP research scientist GrammarlyMachine Learning engineer Berlin hybridDeep Learning jobs SuperhumanSenior AI researcher careersProduction ML scientist GermanyTransformer models research jobsLLM specialist BerlinGrammarly engineering jobsNLP productization rolesAI research scientist hybrid GermanyML research engineer SuperhumanText generation AI jobsApplied ML scientist careersPyTorch research positions BerlinSenior NLP engineer GermanyAI productivity research jobsDeep learning production rolesGrammarly Berlin jobsSuperhuman AI scientist careersHybrid ML research GermanyAdvanced NLP developer jobsEngineering

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Grammarly logo

Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!

Grammarly

Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!

full-timePosted: Dec 16, 2025

Job Description

Applied Research Scientist at Grammarly - Berlin, Germany (Hybrid)

Role Overview

Grammarly, now part of Superhuman, is revolutionizing productivity with AI-powered tools that enhance communication worldwide. We're seeking a talented Applied Research Scientist to join our Agents team in Berlin, Germany under a hybrid work model. This senior-level role offers the chance to pioneer cutting-edge NLP, ML, and DL solutions that impact millions of users daily.

Superhuman's mission is to unlock superhuman potential through AI integration across 1 million+ applications. Our suite includes Grammarly's writing assistance, Coda workspaces, Mail management, and the proactive Go AI assistant. With 40 million users and rapid growth, this position places you at the forefront of AI innovation in a collaborative, high-impact environment.

The Applied Research Scientist will bridge research and production, developing features that help users write better, faster, and more effectively. You'll contribute to ideation, define technical solutions, and ship intelligent functionalities across our product ecosystem. If you thrive on solving complex NLP challenges while scaling systems for global reach, this role is your opportunity to shape the future of AI productivity.

Key Responsibilities

As an Applied Research Scientist, you'll drive innovation from research to deployment:

  1. Develop advanced NLP, ML, and DL tools for English text correction, improvement, and enhancement.
  2. Productize research prototypes into scalable features used by millions daily.
  3. Monitor and incorporate the latest trends from top conferences like NeurIPS, ICML, and ACL.
  4. Shape the company's research strategy and foster a world-class technical culture.
  5. Attract and mentor top ML professionals to build an elite research team.
  6. Collaborate with product managers and engineers on ideation and solution definition.
  7. Design and execute experiments to validate model efficacy and user impact.
  8. Optimize transformer models and LLMs for production efficiency.
  9. Integrate AI agents seamlessly across Superhuman applications.
  10. Analyze large-scale user data to uncover AI enhancement opportunities.
  11. Represent Grammarly/Superhuman at industry events and publish groundbreaking research.
  12. Scale ML infrastructure to handle exponential growth in users and data.
  13. Contribute to technical blogs and documentation to advance team knowledge.

Qualifications

To succeed, you'll bring:

  • Strong theoretical foundation in ML/DL algorithms, including transformers and optimization techniques.
  • 6–7+ years industry experience developing ML/DL for real-world products.
  • 4–5+ years specialized research in NLP, text generation, or related areas.
  • Proven success shipping production ML systems at scale.
  • Advanced degree (PhD preferred) in CS, ML, or equivalent.
  • Expertise in PyTorch/TensorFlow, Python, and MLOps tools.
  • Experience with LLMs, NER, sentiment analysis, and text augmentation.
  • Track record of publications or contributions to open-source ML projects.
  • Strong cross-functional collaboration and communication skills.
  • Passion for AI's role in eliminating busywork and boosting productivity.
  • Ability to thrive in hybrid, fast-paced startup culture.

Salary & Benefits

Competitive compensation reflects your expertise: estimated $120,000–$180,000 USD yearly base (adjusted for Germany), plus equity, bonuses, and perks. Full package includes:

  • Hybrid model balancing focus time and in-person collaboration.
  • Comprehensive health, dental, and vision insurance.
  • Unlimited PTO with encouraged recharge periods.
  • Generous parental leave and family support.
  • Stock options in high-growth Superhuman.
  • Professional growth stipend for conferences/courses.
  • Ergonomic home office setup.
  • Team-building retreats across Europe.
  • Wellness programs including mental health resources.
  • Free access to all Superhuman products.
  • Visa/relocation support for international hires.
  • Catered meals and daily perks on office days.

Why Join Grammarly?

Grammarly/Superhuman isn't just a job—it's a mission to transform how 40M+ people work. Our Berlin hybrid team combines German engineering precision with Silicon Valley innovation. Enjoy autonomy to pursue breakthroughs, influence product roadmaps, and work with top talent. We've empowered 50K organizations and 3K institutions globally. Dive into our values and tech stack. Join us to eliminate busywork and supercharge human potential.

Berlin's vibrant tech scene, multicultural vibe, and work-life balance make it ideal. Hybrid flexibility means best-of-both-worlds: deep work from home, trust-building in-office.

How to Apply

Ready to impact millions? Submit your resume, cover letter highlighting NLP/ML experience, and links to publications/GitHub. Our team reviews applications weekly. We prioritize diverse perspectives and skills over credentials. Interviews include technical deep-dive, research presentation, and team fit. Questions? Email careers@grammarly.com. Let's build the future of AI together!

Locations

  • Berlin, Germany
  • Munich, Germany

Salary

Estimated Salary Rangehigh confidence

126,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Machine Learning (ML)intermediate
  • Deep Learning (DL)intermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Transformer Modelsintermediate
  • Large Language Models (LLMs)intermediate
  • Text Generationintermediate
  • Sentiment Analysisintermediate
  • Named Entity Recognition (NER)intermediate
  • Production ML Systemsintermediate
  • Research Publicationintermediate
  • Algorithm Optimizationintermediate
  • Data Annotationintermediate
  • Model Deploymentintermediate
  • A/B Testingintermediate
  • Cloud Computing (AWS/GCP)intermediate

Required Qualifications

  • Strong theoretical foundation in ML/DL algorithms and methodologies (experience)
  • Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products (experience)
  • Additional 4–5 years of research experience in NLP or related fields (experience)
  • Proven track record of shipping ML models to production (experience)
  • PhD or Master's degree in Computer Science, Machine Learning, or related field preferred (experience)
  • Deep expertise in transformer architectures and large language models (experience)
  • Experience with PyTorch or TensorFlow frameworks (experience)
  • Strong Python programming skills and experience with ML libraries (experience)
  • Familiarity with production ML systems and MLOps practices (experience)
  • Excellent communication skills to collaborate with cross-functional teams (experience)
  • Publications at top ML conferences (NeurIPS, ICML, ACL) highly desirable (experience)
  • Experience working in fast-paced startup environments (experience)

Responsibilities

  • Develop state-of-the-art NLP tools for correcting and enhancing written English
  • Productize and deploy ML features into Superhuman's production systems
  • Stay current with latest research trends in NLP, ML, and DL
  • Contribute to research strategy and technical roadmap planning
  • Collaborate with product and engineering teams on feature ideation
  • Build and optimize deep learning models for text generation and improvement
  • Conduct experiments and A/B tests to validate model performance
  • Mentor junior researchers and attract top ML talent
  • Define technical approaches for solving complex NLP problems
  • Integrate AI agents across Superhuman's application suite
  • Analyze user data to identify opportunities for AI improvements
  • Publish research findings and represent the company at conferences
  • Scale ML infrastructure to support millions of daily users

Benefits

  • general: Dynamic hybrid working model with flexible focus and collaboration time
  • general: Competitive salary with performance-based bonuses
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off and parental leave
  • general: Stock options in a high-growth AI company
  • general: Professional development budget for conferences and courses
  • general: Home office setup allowance
  • general: Company-sponsored team retreats and offsites
  • general: Mental health and wellness programs
  • general: Free Grammarly and Superhuman product subscriptions
  • general: Visa sponsorship for international talent
  • general: Daily team lunches and catered meals (in-office days)
  • general: Learning opportunities with world-class researchers

Target Your Resume for "Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!" , Grammarly

Get personalized recommendations to optimize your resume specifically for Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now!" , Grammarly

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Applied Research Scientist jobs GermanyNLP research scientist GrammarlyMachine Learning engineer Berlin hybridDeep Learning jobs SuperhumanSenior AI researcher careersProduction ML scientist GermanyTransformer models research jobsLLM specialist BerlinGrammarly engineering jobsNLP productization rolesAI research scientist hybrid GermanyML research engineer SuperhumanText generation AI jobsApplied ML scientist careersPyTorch research positions BerlinSenior NLP engineer GermanyAI productivity research jobsDeep learning production rolesGrammarly Berlin jobsSuperhuman AI scientist careersHybrid ML research GermanyAdvanced NLP developer jobsEngineering

Answer 10 quick questions to check your fit for Applied Research Scientist Careers at Grammarly - Berlin, Germany | Apply Now! @ Grammarly.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.