Software Engineer – AI/ML Recommendation
Tasks
- Apply machine learning for recommendations
- Apply natural language processing
- Build large-scale distributed systems
- Collaborate cross-functionally with stakeholders
- Design and implement recommendation systems
- Develop agentic AI solutions
- Lead technical direction for projects
- Mentor engineers and set engineering standards
- Optimize ML infrastructure
- Optimize performance scalability reliability cost
- Perform offline evaluation
- Prototype and validate experiments
- Research scalable recommendation solutions
- Run A/B testing
- Translate business problems into technical designs
Perks/Benefits
- Dependent care spending account
- Disability insurance
- Employee assistance program
- Family leave
- Health savings account
- Life insurance
- Medical/Dental/Vision
- Paid time off
- Parental leave
- Retirement plan
- Transportation benefits
- Tuition assistance
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Azure | B testing | Cloud Computing | Cost Optimization | Data Processing | Distributed Systems | Embeddings | Experimentation | GCP | Go | Information Retrieval | Java | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Natural Language | Natural Language Processing | Offline evaluation | Performance optimization | Python | Ranking | Recommendation Systems | Reliability | Scala | Scalability | System design
Education
Regions
Countries
States
Cities
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