About the Role
The position involves designing, training, and implementing machine learning systems to support product development and data-driven decision-making across various domains.
Responsibilities
- Design and implement machine learning algorithms tailored to specific use cases
- Collaborate with data engineers to build scalable data pipelines
- Evaluate model performance using statistical methods and real-world testing
- Optimize trained models for production deployment and low-latency inference
- Work closely with product teams to integrate AI features into applications
- Stay current with advancements in machine learning research and frameworks
- Document model development processes and assumptions clearly
- Troubleshoot issues in model behavior and data quality
- Conduct experiments to validate hypotheses and improve system accuracy
- Apply techniques for handling imbalanced or noisy datasets
- Support the creation of data labeling standards and annotation workflows
- Participate in code reviews and model validation procedures
- Translate business requirements into technical machine learning solutions
- Monitor deployed models for performance degradation over time
- Develop strategies for model versioning and rollback procedures
- Use cloud platforms for training and deploying machine learning workloads
- Apply best practices in reproducibility and experiment tracking
- Collaborate on defining success metrics for AI-driven features
- Ensure compliance with data privacy and security standards
- Communicate technical findings to non-technical stakeholders
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative environment focused on innovation and technical excellence
Technology Stack
- Primary development in Python with PyTorch and Scikit-learn
- Cloud infrastructure on Google Cloud Platform
- Containerization using Docker and orchestration via Kubernetes
- Data storage in BigQuery and Cloud Storage
- Model deployment through Vertex AI
Growth Opportunities
- Access to conference attendance and training programs
- Internal mentorship and technical leadership pathways
- Cross-functional project rotations
- Research publication support
- Innovation time for exploratory projects
Available for qualified candidates
