Lead, AI Research Engineer
Work at Home - Texas - Other, United States
USD 83K-159K (estimate) Senior-level Full Time
Tasks
- Analyze machine learning experiments
- Build datasets
- Collaborate with domain experts
- Collaborate with engineering teams
- Collaborate with product managers
- Conduct adversarial testing
- Conduct user studies
- Contribute to academic publications
- Create modular code components
- Define data annotation requirements
- Design machine learning experiments
- Develop AI techniques
- Develop annotation guidelines
- Develop evaluation suites
- Develop reusable research assets
- Document research assets
- Establish model baselines
- Evaluate models using offline metrics
- Execute machine learning experiments
- Integrate models into production systems
- Optimize inference pipelines
- Optimize training pipelines
- Perform annotation quality control
- Represent company in research communities
- Select evaluation metrics
- Validate AI techniques
Perks/Benefits
- Healthcare benefits
- Incentive programs
- Professional development
- Remote work options
- Retirement benefits
- Time off
- Tuition reimbursement
- Wellbeing programs
- Work-life flexibility
Skills/Tech-stack
Ablation Studies | C++ | Calculus | DPO | Deep learning | Fine Tuning | Hugging Face | Hypothesis Testing | Java | Language Processing | Linear Algebra | LoRA | Machine Learning | Natural Language | Natural Language Processing | NumPy | PEFT | PPO | Probability | PyTorch | Python | RLAIF | RLHF
Education
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