Software Engineer, Machine Learning Platform

  • IT & Telecommunication
  • Full time
  • 10 months ago
  • Germany
  • Salary 400000$-800000$ / Yearly
  • Job experience 1 year

Total no of applicants applied:


Job Description

Software Engineer, Machine Learning Platform

The opportunity

Grammarly empowers humans to thrive and connect, on every occasion and anyplace they communicate. More than 30 million humans and 30,000 groups round the world use our AI-powered writing assistant each and every day. All of this starts with our group taking part in a values-driven and learning-oriented environment.

To obtain our formidable goals, we’re searching for a Software Engineer centered on laptop studying systems to be part of our team. This character will be accountable for constructing a platform to strength computer gaining knowledge of structures throughout the company. The platform will be used by using engineers, scientists, linguists, and others, enabling professionals to spend extra time the use of their laptop mastering know-how and much less time on infrastructure-related work to aid it.

Grammarly’s engineers and researchers have the freedom to innovate and find breakthroughs. The gadget you construct will play an essential function in accelerating these results. Read greater about our stack or hear from our crew on our technical blog.

Your impact

The Software Engineer focusing on computer getting to know systems will want to continue to be up to date in this fast-moving field. This consists of being conscious of cloud structures and open supply equipment that can be used in such a platform—and ideally being conscious of some of the notable structures others are using, such as Michelangelo or FBLearner Flow. Natural language processing technological know-how is necessary to Grammarly’s success, so the platform will want to deal with special challenges, such as enormous, sparse characteristic units and the today’s Transformer-based pre-trained deep mastering models.

In this role, you will:

  • Build a computer getting to know platform to speed up the improvement of ML options throughout the company.
    Work with a broad vary of inside customers, consisting of computational linguists, desktop studying engineers, and lookup scientists.
  • Collaborate with humans constructing user-facing points that count number on laptop getting to know to apprehend the challenges and bottlenecks in the process.
  • Produce machine architectures and designs that stability the desires of more than one constituencies and make core situations seamless.
  • Enable researchers to translate fashions they create into structures running at scale.
  • Help make Grammarly’s numerous array of computing device studying structures greater maintainable by way of supplying a frequent set of infrastructure, orchestration, and monitoring.

We’re searching for anybody who

  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is in a position to collaborate in character 2–4 weeks per quarter, journeying if quintessential to the hub the place the crew is based.
  • Understands usual computing device studying algorithms and present day deep studying strategies as well.
  • Understands information constructions and algorithms at a stage enough to write performant code when
  • working with massive datasets or giant incoming information streams.
  • Has ride with device format and constructing inside tools.
  • Is conscious of NLP strategies to efficaciously work with very high-dimensional, sparse data.

Support for you, professionally and personally

Professional growth: We employ human beings we trust, and we provide crew individuals autonomy to do their excellent work. We additionally aid expert improvement with training, coaching, and ordinary feedback.
A related team: Grammarly builds a product that helps humans connect, and we observe this mind-set to our personal team. We have a particularly collaborative way of life supported by using our EAGER values. We additionally take time to have a good time our colleagues and accomplishments with global, local, and team-specific activities and programs.
Comprehensive benefits: Grammarly provides all group participants aggressive pay alongside with a advantages package deal encompassing most desirable fitness care (including intellectual fitness benefits). We additionally provide aid to set up a domestic office, sufficient and described time off, fitness center and pastime stipends, 401(k) matching, and more.
For Colorado-based employment: The income vary for this role is $169,000 – $259,000/year; however, base pay provided might also range substantially relying on job-related knowledge, skills, and experience. The compensation package deal consists of a broad vary of medical, dental, vision, financial, and different benefits, as nicely as equity.

We motivate you to apply

At Grammarly, we fee our differences, and we inspire all—especially these whose identities are historically underrepresented in tech organizations—to apply. We do now not discriminate on the foundation of race, religion, color, gender expression or identity, sexual orientation, countrywide origin, citizenship, age, marital status, veteran status, incapacity status, or

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