Lead Developer – AI/ML Recommendation
Tasks
- Apply machine learning and natural language processing
- Architect and build distributed recommendation systems
- Build information retrieval and ranking pipelines
- Collaborate cross functionally with product data science platform stakeholders
- Design and implement agentic AI solutions
- Develop recommendation system solutions
- Improve recommendation relevance and quality
- Lead technical direction and delivery execution
- Mentor engineers and set engineering standards
- Modernize recommendation platform with AI ML
- Optimize performance, scalability, reliability, and cost
- Prototype validate experiments with A B testing
- Run offline evaluation for models
- Stay current with emerging AI ML recommendation techniques
- Translate business needs into technical designs
Perks/Benefits
- 401k retirement plan
- Dependent care spending account
- Disability insurance
- Employee assistance program
- Family leave
- Health savings account
- Life insurance
- Medical, dental, and vision
- Paid time off
- Parental leave
- Transportation benefits
- Tuition assistance
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Azure | B testing | Cloud Computing | Data Processing | Data Storage | Debugging | 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 | Networking | Offline evaluation | Performance optimization | Python | Ranking | Recommendation Systems | Reliability Engineering | Scala | Scalability | System design
Education
Roles
Developer | Engineer | Lead | Lead Developer | Software Engineer
Regions
Countries
States
Cities
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