Software Engineer Machine Learning

  • Freelance
  • Anywhere

Grammarly

Grammarly team members in this role must be based in the United States or Canada.

The opportunity 

Grammarly empowers people to thrive and connect whenever and wherever they communicate. Every day, over 30 million people and 50,000 teams around the world rely on our AI-powered communication assistance technology. All of this begins with our team collaborating in a values-driven and learning-oriented environment.

Until now, our product has provided a largely uniform, identical experience to all its users. As we strive to define and advance the communication-assistant market, it’s become essential for our product to deliver a context-aware and personalized experience to every user. This requires understanding users’ intent, style, and communication preferences. Similarly, the Text Editor software development kit, Grammarly’s first developer offering, will provide contextually personalized experiences tailored to the app’s communication use case and further empower our partners.

We are looking for a Machine Learning Engineer specializing in recommendation, relevance, or personalization to build these capabilities. This person will apply ML to solve new and challenging problems, as well as build the infrastructure and systems to operate solutions effectively at scale. This will involve working on a highly cross-functional team, in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more.

Grammarly’s engineers, researchers, and ML practitioners have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. They will have the chance to broaden and deepen their skills in machine learning and deep learning. Read more about our stack or hear from our team on our technical blog.

Your impact

As a Machine Learning Engineer specializing in personalization, you will have a significant customer-facing impact, including defining the personalized customer experience and working closely with Grammarly for Developers partners. Personalization is a top strategic goal for Grammarly. Most of the problems we’re tackling haven’t been solved before, which provides the opportunity for creative and innovative problem-solving.

In this role, you will:

  • Build scalable end-to-end machine learning solutions to tackle customer challenges.
  • Promote excellence and best practices across the Machine Learning team with regards to research, implementation, tooling, and system design.
  • Collaborate cross-functionally to ship new features across our many interfaces.
  • Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
  • Explore novel techniques to address previously unsolved problems.

We’re looking for someone who

  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
  • Understands traditional machine learning algorithms and state-of-the-art techniques, including deep learning and how to use it effectively in practice.
  • Is familiar with recommendation, relevance, or personalization and its application in the industry.
  • Has an awareness of modern NLP techniques.
  • Is comfortable reading academic papers and can take interesting ideas and apply them.
  • Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.

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, 401(k) matching (US only), admission discounts (Canada only), and more.
  • For Colorado-based employment: The salary range for this position is $133,000-$286,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer, a participant in the US Federal E-Verify program (US), and abides by the Employment Equity Act (Canada).

Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia 

Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario 

Please note that EEOC is optional and specific to US-based candidates.

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To apply, please visit the following URL:https://remoteOK.com/jobs/146852→