About the Role
Design and implement scalable AI models integrated into production environments, working closely with cross-functional teams to solve complex problems using cutting-edge machine learning techniques.
Responsibilities
- Develop and optimize machine learning models for production deployment
- Collaborate with product teams to integrate AI features into user-facing systems
- Evaluate model performance and iterate on improvements
- Design data pipelines to support training and inference workflows
- Ensure models meet accuracy, latency, and scalability requirements
- Work with engineering teams to maintain robust AI infrastructure
- Troubleshoot and resolve issues in live AI systems
- Stay current with advancements in AI research and apply relevant findings
- Conduct code reviews and ensure software quality standards
- Document technical designs and system behavior
- Support deployment and monitoring of AI services
- Participate in architectural planning for AI-enabled products
- Assess ethical implications of AI model behavior
- Optimize resource usage for training and inference
- Collaborate on defining evaluation metrics for AI performance
- Mentor junior engineers on AI best practices
- Contribute to internal tools for model development and testing
- Work with data scientists to refine training datasets
- Ensure compliance with data privacy standards
- Integrate third-party AI components when necessary
- Lead technical investigations into new AI frameworks
- Support A/B testing of AI-driven features
- Improve model interpretability and debugging capabilities
- Coordinate with security teams on model risk assessment
- Participate in incident response for AI-related outages
Nice to Have
- PhD in computer science, machine learning, or related field
- Experience with real-time inference systems
- Background in safety-critical AI applications
- Contributions to open-source AI projects
- Publications in AI or machine learning conferences
- Experience with edge AI or on-device inference
- Familiarity with regulatory requirements for AI systems
- Leadership experience in technical projects
- Knowledge of reinforcement learning methods
- Experience with multimodal AI systems
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Collaborative team of AI specialists and engineers working on product-integrated AI systems
About the Team
This team focuses on embedding AI capabilities directly into core product workflows, enabling intelligent automation and decision-making. Engineers work closely with product managers and domain experts to identify high-impact opportunities for AI integration.
What We Value
We prioritize technical rigor, clear communication, and a user-centered approach to AI development. Candidates should demonstrate a commitment to ethical AI practices and a collaborative mindset.
Available for qualified candidates
