Senior, AI Research Engineer
USD 62K-119K (estimate) Senior-level Full Time
Tasks
- Adapt and validate research techniques
- Analyze machine learning experiments
- Collaborate with domain experts product managers and engineering teams
- Conduct user studies
- Create datasets and modular code components
- Define evaluation protocols
- Design machine learning experiments
- Develop and validate AI techniques
- Develop annotation guidelines
- Develop evaluation suites
- Develop reusable research assets
- Document research work
- Establish experiment baselines
- Integrate models into production systems
- Optimize training and inference pipelines
- Oversee annotation quality control
- Perform offline evaluation
- Refine problem statements
- Run adversarial testing
- Select evaluation metrics
- Specify data and annotation requirements
- Stay current with AI research
- Support academic publications
Perks/Benefits
Skills/Tech-stack
Ablation Studies | Adapters | Adversarial Testing | C++ | Calculus | DPO | Deep learning | Fine Tuning | GRPO | Hugging Face | Hypothesis Testing | Java | Language Processing | Linear Algebra | LoRA | Machine Learning | Natural Language | Natural Language Processing | Network training | Neural Network | Neural network training | NumPy | PEFT | PPO | Probability | PyTorch | Python | RLAIF | RLHF | Statistical Evaluation
Education
Roles
AI | AI Research Engineer | AI Research Scientist | Engineer | Research Engineer | Research Scientist | Scientist
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