Remote Machine Learning Engineer

Summary

Join Grammarly's On-Device team as a Senior ML Engineer to propose, design, and prototype strategic new features that on-device capabilities make possible. As a Machine Learning Engineer, you will build ML models to solve real-world problems, own the implementation of your models in an on-device context, collaborate with core product teams, launch and monitor deployments via A/B testing, and leverage academic research to advance the state of the art.

Requirements

• Has a deep understanding of modern algorithms for and approaches to ML and NLP
• Has expert-level productivity coding in a modern compiled language and is excited about developing in Rust
• Has worked on multiple platforms (macOS, Windows, Linux, and Android), especially cross-platform projects
• Has prior experience dealing with the constraints imposed by writing device-side code. (optional, but helpful)
• Has working knowledge of front-end development practices. (optional, but helpful)
• Is highly entrepreneurial, energetic, and creative, and is comfortable working in a fast-paced environment with high levels of ambiguity and evolving product requirements
• Can communicate with other humans more effectively than a generative AI system can
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based

Responsibilities

• Propose, design, and prototype strategic new features that on-device capabilities make possible
• Build ML models to solve real-world problems and leverage data to evaluate and improve their quality
• Own the implementation of your models in an on-device context, taking into account considerations like model size, performance, and latency
• Collaborate with Grammarly’s core product teams to integrate your models into our user interfaces
• Launch and monitor the deployment of ML models via A/B testing and respond to issues that arise from user feedback and telemetry
• Leverage academic research to ensure that our technology continues to reflect and advance the state of the art

Benefits

• 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
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities