AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA Job at Enigma, San Jose, CA

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  • Enigma
  • San Jose, CA

Job Description

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

  • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
  • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
  • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
  • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
  • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
  • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
  • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
  • Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
  • Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

  • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
  • Demonstrated success in delivering research-driven solutions that have been deployed in production.
  • Experience collaborating in cross-functional teams across research, engineering, and product.
  • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

  • Strong foundational knowledge in machine learning and deep learning algorithms.
  • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
  • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
  • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
  • Advanced programming skills in Python (preferred), C++, or Java.
  • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
  • Strong mathematical foundations in probability, linear algebra, and calculus.
  • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
  • Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

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