PhD Intern - AI/ML/NLP Engineer
California - Remote Office, United States
R
USD 70K-86K Entry-level Full Time Internship
Tasks
- Analyze existing platforms for bottlenecks
- Build functional AI ML prototypes
- Code and test AI ML models
- Deploy and validate AI ML in production systems
- Design novel AI/ML solutions
- Develop and evaluate LLM solutions
- Develop evaluate and iterate on AI ML models
- Present findings to stakeholders
- Propose algorithmic or systems improvements
- Use CI CD pipelines for development
- Use Infrastructure as Code with Terraform
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AWS | Bayesian Inference | C# | CI/CD | Cloud Computing | Container Orchestration | Deep learning | GitHub Actions | Go | Infrastructure as Code | Java | Kubernetes | LLM | Language Models | Language Processing | Large Language Models | Likelihood estimation | Machine Learning | Maximum likelihood | Maximum likelihood estimation | Natural Language | Natural Language Processing | Probability | Python | Statistics | Terraform | “as-code”
Education
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