Member of Technical Staff

About the Role

As a Member of Technical Staff, Research Engineer on our Inference team, you will be essential to the real-time performance and reliability of our AI systems. Your role is pivotal in optimizing inference pipelines, reducing latency, and translating cutting-edge research into enterprise-ready applications.

This is a good role for you if you:

• Have extensive experience deploying and optimizing large-scale language models for real-time inference.
• Are skilled with performance-enhancing tools and frameworks such as ONNX, TensorRT, or TVM.
• Thrive in fast-paced environments where real-world application performance is paramount.
• Understand the intricate trade-offs between model accuracy, latency, and scalability.
• Are passionate about delivering robust, efficient, and scalable inference solutions that drive our enterprise success.

Responsibilities include:

• Optimizing inference pipelines to maximize model performance and minimize latency in production environments.
• Collaborating with ML researchers and engineers to deploy inference solutions that meet rigorous enterprise standards.
• Integrating and refining tools to streamline the transition from research prototypes to production-ready systems.
• Continuously monitoring and tuning system performance with real-world data to drive improvements.
• Pioneering innovations in model inference that are critical to the success of our AI platform.

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 TimelineWe aim to provide feedback within one week of your final interview.