Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.
About the role
- Software engineering co-op supporting AI group at health data platform Zus. Conducting research, developing prototypes, and collaborating on CI/CD pipelines for health tech tools.
Responsibilities
- Conduct research to explore new methodologies and techniques, and integrate them into product offerings.
- Develop prototypes to test and improve innovations and feedback mechanisms to improve models.
- Work with software engineers to help deliver CI/CD pipelines and automate workflows for model operations.
- Present learnings and help leverage methods and techniques for the team.
Requirements
- Hands-on experience with LLMs and classical ML methods (must-have)
- Hands-on experience with agentic frameworks and tools such as LangGraph, Strands, LangFuse, MCP, etc.
- Proficiency in Python (must-have)
- Hands-on experience designing offline or online experiments: crafting task-specific metrics, computing bootstrapped confidence intervals, and conducting slice-based error analysis
- Familiarity with cloud services (e.g., AWS, GCP, Azure)
- Demonstrated curiosity—comfortable jumping into unfamiliar domains, papers, or codebases and learning fast
- Strong verbal/written skills—able to explain complex ML concepts to diverse stakeholders
- Demonstrated ability to work effectively in a collaborative team environment
Benefits
- Competitive compensation that reflects the value you bring to the team
- Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it).
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