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
- Senior Staff Machine Learning Engineer developing and integrating ML systems for GEICO’s Claims organization. Collaborating on AI-powered capabilities to enhance decision-making and user experience.
Responsibilities
- Own ML platform architecture: data/feature pipelines, experiment tracking, model registries, serving layers, offline/online evaluation, and observability
- Define standards for reliability, performance, cost efficiency, security, governance, and model risk management across ML services
- Lead design and implementation of models across classical ML and deep learning
- Build scalable training and inference pipelines; establish CI/CD for ML
- Implement monitoring for data quality, drift, fairness, latency, reliability, and cost
- Mentor engineers and junior tech leads; codify best practices
Requirements
- Bachelor’s degree or above in Computer Science, Engineering, Statistics, or related field
- 10+ years of professional software development experience using at least two general-purpose languages (e.g., Java, C++, Python, C#)
- 10+ years architecting, designing, and building multi-component ML platforms leveraging open-source/cloud-agnostic components
- 6+ years managing end-to-end SDLC for ML systems
- 6+ years working with cloud providers (Azure and/or AWS) in production ML contexts
Benefits
- Market-competitive compensation
- 401(k) savings plan vested from day one with 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Mental healthcare support
- Fertility and adoption assistance
- Flexibility to work from anywhere in the US for up to four weeks per year
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