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

About the role

Enigma is seeking an AI Research Scientist to bridge the gap between theoretical experimentation and production-ready machine learning systems. You will focus on developing and validating advanced models while maintaining rigorous evaluation standards for our core technology.

Key facts

What you'll do

• Plan and run machine learning experiments while setting clear performance baselines and metrics.
• Monitor current AI research to find and implement new methods relevant to our product goals.
• Create testing frameworks including offline metrics, user feedback loops, and adversarial red teaming.
• Manage data annotation workflows, including setting guidelines and ensuring data quality.
• Partner with product managers and engineers to define technical constraints and project goals.
• Build internal research tools, including datasets, modular code, and evaluation suites.
• Coordinate with ML engineers to move research models into production environments.
• Write academic papers and engage with the broader research community.

Requirements

• Ph.D. in Computer Science, AI, Machine Learning, or a related field is preferred; Master's degree holders with significant experience are welcome to apply.
• 3 to 5 years of professional experience in AI or ML research, specifically in product-focused settings.
• Proven track record of taking research projects through to production deployment.
• Experience working within cross-functional teams involving research, engineering, and product stakeholders.
• Deep understanding of machine learning and deep learning theory.
• Practical experience with fine-tuning techniques including PEFT, LoRA, and adapters.
• Experience with RLHF or RLAIF methods like PPO, DPO, and GRPO.
• Strong mathematical background in linear algebra, calculus, and probability.
• Proficiency in Python, C++, or Java.

Nice to have

• Authorship of papers in major conferences such as NeurIPS, ICML, ACL, or CVPR.
• Specialized knowledge in symbolic reasoning, speech processing, or natural language processing.

Skills & tools

• PyTorch
• Hugging Face
• NumPy
• Python
• C++
• Java
• PEFT/LoRA
• RLHF/RLAIF (PPO, DPO, GRPO)