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Machine Learning Engineer, Trust & Enterprise Intelligence

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Job Details

Role: Machine Learning Engineer, Trust & Enterprise Intelligence

Location: Remote / United States
Job Type: Full-time / Hybrid Remote
Base Salary Range:

  • Zone 1: 271,000–271,000 – 337,000/year (USD)
  • Zone 2: 244,000–244,000 – 303,000/year (USD)
    Collaboration Weeks: In-person meetings as needed based on team business needs.

About Grammarly

Grammarly is the world’s leading AI writing assistance company, trusted by over 30 million people and 70,000 teams worldwide. The platform is used by individuals and companies such as Atlassian, Databricks, and Zoom to improve communication and productivity. Founded in 2009, Grammarly is recognized as one of Forbes Cloud 100, TIME’s 100 Most Influential Companies, and Inc.’s Best Workplaces.

About the Role

Grammarly is looking for a Machine Learning Engineer specializing in NLP to join their Trust & Enterprise Intelligence team. This role involves working with cutting-edge ML and NLP technologies to solve complex problems and create AI-powered products tailored for enterprise clients. You'll collaborate with Engineers, Data Scientists, Product Managers, and Linguists to build AI products that improve communication across organizations.

Responsibilities

  • Design, develop, and deploy large-scale ML and NLP models to improve enterprise customer communication.
  • Collaborate with cross-functional teams, including Computational Linguists, Engineers, and Data Scientists.
  • Apply LLM-based technologies to product solutions and evaluate their performance.
  • Work closely with product teams to ensure that solutions scale and meet business objectives.
  • Communicate complex ML concepts effectively to diverse audiences within the organization.
  • Innovate and contribute to the product roadmap while solving technical challenges at scale.
  • Stay up-to-date with ML/NLP research and apply insights to new products and features.

Qualifications

  • Expertise in traditional machine learning algorithms and state-of-the-art techniques such as deep learning.
  • Strong understanding of modern NLP algorithms and approaches.
  • Experience building LLM-based products and evaluating Large Language Models (LLMs).
  • Comfortable with reading and applying academic papers.
  • Strong knowledge of data structures and algorithms for working with large datasets.
  • Entrepreneurial mindset with an ability to work in fast-paced, dynamic environments.
  • Exceptional communication skills, with the ability to explain complex technical concepts clearly.
  • Alignment with Grammarly's EAGER values (Ethical, Adaptable, Gritty, Empathetic, Remarkable) and MOVE principles (Move fast, learn faster, create customer value, value impact over activity).

Compensation and Benefits

Grammarly provides a competitive salary based on geographic compensation zones, with benefits including:

  • Comprehensive health care (medical, dental, vision, mental health, fertility benefits).
  • 401(k) and RRSP matching.
  • Paid parental leave, 20 days of paid time off, and 11 paid holidays.
  • Flexible home office stipends, caregiver, and pet care stipends.
  • Wellness stipends and learning opportunities.

Equal Opportunity Employer

Grammarly celebrates diversity and is committed to equal opportunity employment. Applications from all backgrounds are encouraged, especially from traditionally underrepresented communities in tech. Grammarly abides by the Employment Equity Act (Canada) and participates in the US E-Verify program.