About the role

Senior AI Software Engineer developing scalable AI/ML features for Thomson Reuters’ legal, tax, compliance, and journalism information products. Productionizing models, APIs, and infrastructure while optimizing performance.

Responsibilities

Design and develop AI/ML-powered features and capabilities from concept to production
Implement machine learning models, algorithms, and data pipelines
Build and optimize neural networks, deep learning models, and other AI architectures
Develop APIs and services integrating AI/ML capabilities into existing systems
Collaborate with data scientists to productionize research models and prototypes
Architect scalable AI/ML infrastructure and deployment pipelines
Conduct code reviews and mentor junior developers on AI/ML best practices
Participate in technical design discussions and architectural decisions
Monitor and optimize model performance, latency, and resource utilization
Implement A/B testing frameworks for AI/ML features
Debug and troubleshoot complex AI/ML systems in production
Develop RESTful APIs and microservices exposing AI/ML capabilities
Implement monitoring, logging, and alerting for production AI/ML systems
Optimize model inference for speed and efficiency
Contribute to the full software development lifecycle from requirements gathering through deployment, monitoring, and maintenance

4+ years of software engineering experience, with 3+ years focused on AI/ML development
Proven track record of shipping AI/ML features to production environments
Experience with model training, validation, and deployment at scale
Background developing real-time and batch ML inference systems
Strong understanding of machine learning algorithms and statistical methods
Experience with GenAI, NLP, Information Retrieval, recommendation systems, or other AI domains
Knowledge of model optimization techniques and performance tuning
Understanding of data privacy, security, and ethical AI considerations
Ability to write clean, well-tested, maintainable Python or other relevant-language code

Flexible hybrid working environment
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Award-winning culture of inclusion and belonging, flexibility, and work-life balance
Two paid volunteer days off annually
Opportunities for pro-bono consulting projects and ESG initiatives
Annual Bonus may be available based on enterprise and individual performance