Member of Technical Staff, Research Engineer / Research Scientist (LLM Safety)

About the Role

As a Member of Technical Staff, Research Engineer on our LLM Safety team, you will be a critical force in evaluating and securing the outputs of our large language models. This role is distinctly research/scientist-focused and separate from backend security. Your work will blend advanced fine-tuning methodologies with safety evaluations to develop innovative techniques that detect and mitigate unsafe or harmful responses. You will leverage your expertise—ideally with prior security experience—to build small, targeted models and classifiers that integrate seamlessly into our response modeling pipelines.

This is a good role for you if you:

• Have a strong research background in ML safety and are experienced in evaluating and mitigating risks in LLM outputs.
• Possess a deep understanding of fine-tuning, training, and advanced model evaluation techniques.
• Have prior security experience or a demonstrated understanding of adversarial threats and vulnerability assessment in AI systems.
• Enjoy bridging the gap between machine learning research and practical, production-ready safety solutions.
• Thrive in environments that demand innovative thinking and rigorous evaluation of AI models to ensure ethical and safe outcomes.

Responsibilities include:

• Building small, specialized models to conduct detailed safety evaluations of LLM outputs.
• Developing classifiers to detect unsafe, biased, or harmful responses, and integrating them into our response modeling pipelines.
• Collaborating with fine-tuning and training teams to ensure that safety protocols are embedded within our model development lifecycle.
• Conducting in-depth research on adversarial attacks, model vulnerabilities, and safety enhancements to stay ahead of emerging threats.
• Serving as a key technical leader, driving the innovation and evolution of our LLM safety practices, ensuring our models operate reliably and securely in enterprise settings

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

Interview Process

Apply: Please apply on Linkedin or our website for a specific role.

After speaking with one of our recruiters, you’ll enter our structured interview process, which includes the following stages:

1. Hiring Manager Conversation – An initial discussion with the hiring manager to assess fit and alignment.
2. Technical Interview – A deep dive with an Inflection Engineer to evaluate your technical expertise.
3. Onsite Interview – A comprehensive assessment, including:
• A domain-specific interview
• A system design interview
• A final conversation with the hiring manager

Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation.

For non-technical roles, be prepared for a role-specific interview, such as a portfolio review.

Decision Timeline
We aim to provide feedback within one week of your final interview.