- Company Name
- Enigma
- Job Title
- AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
- Job Description
-
Job Title: AI Research Scientist
Role Summary: Lead advanced research in machine learning, deep learning, and natural language processing to design, evaluate, and deploy AI solutions that meet production needs.
Expectations: Deliver research-driven innovations, design rigorous experimental protocols, and bridge the gap between cutting‑edge research and scalable production systems.
Key Responsibilities:
- Design, execute, and analyze ML experiments; establish baselines and select evaluation metrics.
- Identify, adapt, and validate novel AI techniques for company use cases.
- Define rigorous evaluation protocols (offline metrics, user studies, adversarial testing) for statistical soundness.
- Specify data and annotation requirements; develop guidelines and oversee quality control.
- Collaborate with domain experts, product managers, and engineering to refine problem statements and operational constraints.
- Create reusable research assets (datasets, modular code, evaluation suites, documentation).
- Work with ML Engineers to optimize training and inference pipelines for production integration.
- Contribute to academic publications and represent the organization in research communities.
Required Skills:
- Strong foundation in ML and DL algorithms; proficiency with PyTorch, Hugging Face, NumPy.
- Hands‑on experience with PEFT/LoRA, adapters, fine‑tuning, RLHF/RLAIF (PPO, DPO, GRPO).
- Expertise in hypothesis‑driven experimentation, ablation studies, and statistically sound evaluation.
- Advanced programming in Python (preferred); experience in C++ or Java.
- Solid mathematical foundations in probability, linear algebra, and calculus.
- Domain expertise in NLP, symbolic reasoning, or speech processing.
Required Education & Certifications:
- Ph.D. in Computer Science, AI, ML, or related field preferred; Master’s with exceptional research or industry experience acceptable.
- 3–5 years of AI/ML research experience in applied or product environments, with a track record of production deployments.
- Publications in top‑tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) preferred.