Machine Learning Engineer, On-Device
Grammarly
This job is no longer accepting applications
See open jobs at Grammarly.See open jobs similar to "Machine Learning Engineer, On-Device" SignalFire.Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.
All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.
Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Every day, tens of millions of people and 50,000 professional teams worldwide trust Grammarly’s AI and human expertise to help ideate, compose, revise, and comprehend communications. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category with our tailored service offerings: Grammarly Free, Grammarly Premium, Grammarly Business, and Grammarly for Education. Our latest product offering, GrammarlyGO, brings the power of generative AI to our users. It all begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
We are seeking a skilled software engineer to join our on-device team and help us achieve our ambitious goals. The main responsibility of this role is to develop cutting-edge technology that will be deployed to the devices of millions of users. As a member of the on-device team at Grammarly, you will have the opportunity to collaborate with our product teams, integrate with their work, and leverage their expertise. Additionally, you will work with our research team to implement cutting-edge ideas in the field of natural language processing and on-device machine learning.
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 our stack or hear from our team on our technical blog.
Your impact
As a member of the on-device team, your primary responsibility is to work on machine learning on Edge, which is the latest trend in machine learning. You will…
- Collaborate with elite engineers, including some of the company's most senior engineers, to develop a highly optimized version of our product.
- Significantly enhance the security and privacy of our users through the new version of our product.
- Deploy the results of your work to millions of user devices, improving the lives of people around the world.
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.
- Has deep and broad expertise in modern natural language understanding and on-device software development.
- Is proficient in multiple dev environments: Python, C++, Rust, Java/Kotlin, objC/Swift.
- Has experience in development for many platforms: Linux, Android, Apple, Windows, and cross-platform development.
- Has enough experience with academic research to collaborate with researchers, and be comfortable reading and implementing papers to reproduce their results.
Support for you, professionally and personally
- Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We support professional development and advancement 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. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Compensation and benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
- Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
- Home office stipends
- Caregiver and pet care stipends
- Wellness stipends
- Admission discounts
- Learning and development opportunities
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
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 and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
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All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.
This job is no longer accepting applications
See open jobs at Grammarly.See open jobs similar to "Machine Learning Engineer, On-Device" SignalFire.