PhD Intern - AI/ML/NLP Engineer
California - Remote Office, United States
R
USD 54K-72K (estimate) Entry-level Full Time Internship
Tasks
- Analyze existing platforms for bottlenecks
- Build functional AI prototype
- Code and test AI ML models
- Deploy and operate production AI systems
- Design novel AI/ML solutions
- Develop evaluate and iterate LLM models
- Improve algorithms and systems
- Present findings to stakeholders
- Use CI/CD pipelines
- Use infrastructure as code
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 | Deep learning | GitHub Actions | Go | Infrastructure as Code | Java | Kubernetes | LLM Evaluation | Language Models | Language Processing | Large Language Models | Likelihood estimation | Machine Learning | Maximum likelihood | Maximum likelihood estimation | Natural Language | Natural Language Processing | Probability | Python | SDLC | Statistics | Terraform | “as-code”
Education
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