About the Role
This role involves leading the development of machine learning models and systems, working closely with data scientists and software engineers to integrate AI solutions into production environments while maintaining high standards of performance, fairness, and maintainability.
Responsibilities
- Design and build scalable machine learning pipelines
- Collaborate with cross-functional teams to define data requirements
- Implement model training and evaluation frameworks
- Optimize models for inference speed and accuracy
- Integrate machine learning systems into production applications
- Monitor model performance and data drift in live environments
- Ensure compliance with ethical AI and data privacy standards
- Mentor junior engineers in best practices for ML development
- Conduct code reviews for machine learning components
- Troubleshoot and resolve issues in deployed models
- Develop data preprocessing and feature engineering workflows
- Work with large-scale datasets across distributed systems
- Apply statistical methods to validate model outputs
- Contribute to architectural decisions for AI systems
- Stay current with advancements in machine learning research
Nice to Have
- Master's or PhD in a quantitative discipline
- Experience with natural language processing or computer vision
- Contributions to open-source machine learning projects
- Knowledge of reinforcement learning techniques
- Experience with edge deployment of ML models
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid remote and office-based work model
Team
Collaborative, interdisciplinary technology team focused on innovation
Our Approach to AI Ethics
- We prioritize responsible AI development, ensuring models are transparent, fair, and auditable.
- Engineers are expected to evaluate potential biases and societal impacts of machine learning systems.
Professional Growth
- Opportunities for continuous learning through internal tech talks and conference participation.
- Support for certifications and advanced training in machine learning and cloud technologies.
Available for qualified candidates
