<i>Grammarly offers a remote-first hybrid working model. Team members can work primarily remotely. Starting in 2022, teams will meet in person a few weeks every quarter in one of Grammarly's hubs, currently in San Francisco, Vancouver, New York, and Kyiv. To ensure that teams are able to overlap in their working hours and to meet face-to-face when needed, all team members need to live within three time zones of a hub.&nbsp;<a href="http://www.grammarly.com/blog/remote-first-hybrid-work-model">Read more about our remote-first hybrid model.</a></i>

<i>Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States.</i>

Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 30 million people and 30,000 teams around the world use our AI-powered writing assistant every day. All of this begins with our team collaborating in a values-driven and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a Software Engineer focused on machine learning to join our team. This individual will be responsible for building end-to-end intelligence systems that solve complex user problems, including applying ML to solve new problems as well as building the infrastructure and systems that will enable this to operate effectively at scale. The role will have the opportunity to provide feedback about the systems and tools in place to facilitate the creation and improvement of a machine learning platform that can increase the efficacy of the engineering team.

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. Read more about&nbsp;<a href="https://www.grammarly.com/jobs/engineering">our stack</a>&nbsp;or hear from our team on our&nbsp;<a href="https://medium.com/@Grammarly">technical blog</a>.

The Software Engineer for machine learning will need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. The majority of the problems we’re tackling haven't already been solved elsewhere, which provides the opportunity for creativity and innovative problem-solving.&nbsp;

Working on the Machine Learning team requires close partnership with analytical linguists, computational linguists, and research scientists. You will have the chance to deepen your skills in machine learning and deep learning while increasing breadth in related areas to up-level our entire team.&nbsp;

Support for you, professionally and personally

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, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.

Grammarly empowers people to thrive and connect, whenever and wherever they communicate

Software Engineer, Machine Learning

We’re looking for someone who is excited about the chance to build infrastructure for other deep learning researchers (ex: experiment tracking tools, model debugging methods, automated hyperparameter optimzers, developer tooling, etc).

<a href="https://generallyintelligent.ai/">Generally Intelligent</a>&nbsp;is an early-stage AI research company. We’re working directly on building human-level general machine intelligence that can learn naturally in the that way humans do. Our mission is to understand the fundamentals of learning and build safe, humane machine intelligence.

We’re supported by investors that include Y Combinator, researchers from OpenAI, the founders of Dropbox, Lightspeed Venture Partners, and Threshold Ventures (formerly DFJ).

Build infrastructure for other deep learning researchers

Deep Learning Engineer (Contract)

This role is a unique opportunity to get into cutting edge deep learning—no prior machine learning specific experience is required. We really care about personal growth (ex: the whole engineering team worked through Pieter Abbeel’s CS294 last year, including all the homeworks, and some of us also completed CS287 and CS285).

Deep Learning Media Jobs in San FranciscoOctober - 2022

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Software Engineer, Machine Learningat Grammarly

Grammarly empowers people to thrive and connect, whenever and wherever they communicate

Deep Learning Engineer (Contract)at Generally Intelligent

Build infrastructure for other deep learning researchers

Deep Learning Engineerat Generally Intelligent

This role is a unique opportunity to get into cutting edge deep learning—no prior machine learning specific experience is required