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3.038

Wissenschaftlicher Mitarbeiter jobs in United States

Applied Research Scientist

Applied Research Scientist
TN Germany
Germany
EUR 60,000 - 100,000
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Data Scientist Datenanalyse / Business Intelligence / Informatik (m/w/d)

Data Scientist Datenanalyse / Business Intelligence / Informatik (m/w/d)
Campusjäger by Workwise
Essen
EUR 45,000 - 75,000

Research Associate (PhD candidate) in Immunogenetics/Evolutionary Genetics 28 Subsection 1 HmbHG

Research Associate (PhD candidate) in Immunogenetics/Evolutionary Genetics 28 Subsection 1 HmbHG
TN Germany
Hamburg
EUR 30,000 - 50,000

Data Scientist (all genders)

Data Scientist (all genders)
TN Germany
Köln
EUR 45,000 - 75,000

Senior Application Scientist Manager - Germany

Senior Application Scientist Manager - Germany
TN Germany
Germany
EUR 60,000 - 80,000
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Principal Scientist - Analytical Development (SMOL), (m/f/d)

Principal Scientist - Analytical Development (SMOL), (m/f/d)
TN Germany
Monheim
EUR 60,000 - 100,000

Researcher mit Tenure-Track zum Senior Researcher (w/m/d) für das Arbeitsgebiet Computational D[...]

Researcher mit Tenure-Track zum Senior Researcher (w/m/d) für das Arbeitsgebiet Computational D[...]
TN Germany
Bremen
EUR 45,000 - 70,000

Data Scientist (m/w/d)

Data Scientist (m/w/d)
Campusjäger by Workwise
Karlsruhe
EUR 60,000 - 100,000
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Applied Scientist, Learned Systems Group

Applied Scientist, Learned Systems Group
ENGINEERINGUK
München
EUR 60,000 - 80,000

Managing Scientist - Ecotoxicology

Managing Scientist - Ecotoxicology
TN Germany
Mannheim
EUR 50,000 - 90,000

Data Scientist (m/w/d)

Data Scientist (m/w/d)
TN Germany
Göttingen
EUR 45,000 - 75,000

Ärztliche:r Mitarbeiter:in (all genders) für iDfellows Clinician Scientist

Ärztliche:r Mitarbeiter:in (all genders) für iDfellows Clinician Scientist
TN Germany
Germany
EUR 50,000 - 80,000

(Senior) Data Scientist (all genders)

(Senior) Data Scientist (all genders)
TN Germany
Hannover
EUR 50,000 - 90,000

Senior Data Scientist im Consulting (d/w/m)

Senior Data Scientist im Consulting (d/w/m)
TN Germany
Frankfurt
EUR 55,000 - 90,000

Initiativbewerbung - Forschung

Initiativbewerbung - Forschung
TN Germany
Paderborn
EUR 40,000 - 70,000

Abschlussarbeit Forschung & Entwicklung - Holzbau (für Bauingenieure)

Abschlussarbeit Forschung & Entwicklung - Holzbau (für Bauingenieure)
TN Germany
Künzelsau
EUR 40,000 - 60,000

Academic Researcher in Theory and Pheonomenology of Heavy-Ion Collisions

Academic Researcher in Theory and Pheonomenology of Heavy-Ion Collisions
TN Germany
Bielefeld
EUR 45,000 - 75,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Essen
EUR 50,000 - 90,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Halle (Saale)
EUR 50,000 - 90,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Aachen
EUR 60,000 - 100,000

Big Data Scientist for Demand Forecast (w/m/d)

Big Data Scientist for Demand Forecast (w/m/d)
ZipRecruiter
Essen
EUR 45,000 - 75,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Wuppertal
EUR 50,000 - 90,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Kiel
EUR 50,000 - 90,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
Bochum
EUR 50,000 - 90,000

Computational Imaging Scientist (f/m/x)

Computational Imaging Scientist (f/m/x)
ZipRecruiter
München
EUR 60,000 - 100,000

Applied Research Scientist

TN Germany
Germany
EUR 60.000 - 100.000
Job description

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.

To help us reach that goal, we’re looking for an Applied Researcher with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our NLP team. The majority of the problems Grammarly’s NLP team is tackling haven’t already been solved elsewhere, which provides the opportunity for creativity and innovative problem-solving. This individual will work with other researchers, engineers, and linguists to create the next generation of writing and communication assistance tools.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.

Your impact

As an Applied Researcher, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. You will need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems.

In this role, you will:
  • Develop state-of-the-art tools for correcting, improving, and enhancing written English by using a variety of NLP, ML, and DL technologies.
  • Productize and ship these features into Grammarly’s product offerings, which are used by millions of users daily.
  • Stay up-to-date with the latest research trends that could improve our product.
  • Contribute to the research strategy and technical culture of the company.
  • Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.
  • Be an active member of the AI community by attending and speaking at events in Europe and abroad and by contributing to technical blogs and journals.
We’re looking for someone who
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
  • Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
  • Knows theoretical underpinnings of ML/DL.
  • Has at least four years of industry experience researching and developing ML and DL technologies for real-world products.
  • Knows how to apply ML/DL algorithms to NLP tasks effectively.
  • Is proficient in at least one programming language (preferably Python).
  • Shows a research mentality and a math-oriented mindset.
  • Has strong written and spoken English.
Support for you, professionally and personally
  • Professional growth: We hire people we trust and give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
  • A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
  • Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, and more.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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