Machine Learning Engineer
$250,000–$385,000 year
HybridSan Francisco, California, United States or Hub, Steiermark, Republic of Austria
Job Summary
Shape the future of productivity by evolving Grammarly into an AI-native suite and spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. Own critical ML systems by developing and deploying sophisticated models for core product experiences, including search ranking and proactive suggestions. Integrate cutting-edge AI by building ML components that leverage the latest models to create seamless user experiences. Thrive in a high-impact environment with a high degree of autonomy, operating with minimal guidance in a fast-paced, ambiguous setting. Move quickly from idea to impact without red tape, focusing on meaningful contributions to a platform used by millions.
Required Qualifications
- MS / PhD in Computer Science
- 5+ years of industry experience as a machine learning engineer or applied research scientist
- A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs
- Experience building LLM-based products
- A deep care about the end-user experience and strives to ensure high quality
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments
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