Staff Research Engineer, MetaAI Assistant Measurement
full-time•Seattle, New York, Bellevue, Menlo Park•$8k - $257k
About this role
Meta Superintelligence Labs is seeking a Staff Research Engineer to provide technical leadership for the team working on the next generation of AI Assistants powered by frontier-scale foundation models. This is a high-impact Individual Contributor (IC) role focused on architecting cutting-edge measurement and evaluation paradigms that align fast-moving model development with real end-user value.
As a Staff Research Engineer, you will define the scientific "North Star" behind the evaluation flywheel, drive technical success across methodologies, and partner with product, engineering, and model training teams to steer the system toward reliability and trustworthiness at scale. You will act as a technical anchor, influencing the roadmap through scientific rigor and hands-on contribution.
$88.46/hour to $257,000/year + bonus + equity + benefits
Responsibilities
- Architect Scientific Strategy: Define and lead the execution of the scientific roadmap for AI Assistant measurement, ensuring methodologies are rigorous, scalable, and aligned with product goals
- Innovate & Build: Spearhead the research and development of novel offline and online evaluation metrics, automated benchmarks, and synthetic data generation pipelines to close the loop between model training and deployment
- Cross-Functional Technical Leadership: Serve as the primary scientific liaison to pre-training, post-training, and product teams, ensuring that measurement insights directly influence model architecture and training recipes (the "evaluation flywheel")
- Mentorship & Influence: Provide technical mentorship and guidance to senior research engineers and applied scientists, fostering a culture of scientific rigor and code without direct management responsibilities
- Hands-on Contribution: Remain hands-on in code and research, building prototypes for new evaluation frameworks and validating novel measurement theories
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Track record of driving technical strategy and landing large-scale research or product impacts in a time-sensitive environment
- Proven technical vision regarding the future trajectory of Generative AI, specifically in how model performance translates to user utility
- Expertise in designing and implementing online and offline measurement systems, benchmark building, and data synthesis techniques
- Experience leading complex, cross-functional technical initiatives, driving consensus across engineering, research, and product boundaries
- Proficiency in Python and deep learning frameworks (e.g., PyTorch), with the ability to prototype and implement complex methodologies
Preferred Qualifications
- PhD in Machine Learning, Statistics, Econometrics, Causal Inference, Computer Science, or related fields
- 8+ years of experience, or PhD + 6 years of hands-on experience in large language models, NLP, and Transformer modeling, within both research and engineering development settings
- Significant experience developing comprehensive evaluation frameworks for LLMs, multimodal models, or agentic systems
- Expertise in online measurement, user-behavior modeling, counterfactual analysis, and A/B testing platform design
- Demonstrated background in AI system benchmarking, Reward modeling, RL, content evaluation, or human-AI interaction
- Track record of publication in top-tier conferences (NeurIPS, ICLR, ICML, ACL) or significant contributions to open-source AI ecosystems
- Ability to communicate complex scientific concepts clearly to executive leadership and non-technical stakeholders to influence high-level decision-making
- Experience building and curating large-scale datasets and ontologies used for training or evaluation
$88.46/hour to $257,000/year + bonus + equity + benefits
What you'll do
- The Staff Research Engineer will architect the scientific strategy for AI Assistant measurement and innovate new evaluation metrics. They will also provide technical leadership and mentorship while remaining hands-on in code and research.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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Frequently Asked Questions
What does Meta pay for a Staff Research Engineer, MetaAI Assistant Measurement?
Meta offers a competitive compensation package for the Staff Research Engineer, MetaAI Assistant Measurement role. The salary range is USD 9k - 257k per year. Apply through Clera to learn more about the full compensation details.
What does a Staff Research Engineer, MetaAI Assistant Measurement do at Meta?
As a Staff Research Engineer, MetaAI Assistant Measurement at Meta, you will: the Staff Research Engineer will architect the scientific strategy for AI Assistant measurement and innovate new evaluation metrics. They will also provide technical leadership and mentorship while remaining hands-on in code and research..
Is the Staff Research Engineer, MetaAI Assistant Measurement position at Meta remote?
The Staff Research Engineer, MetaAI Assistant Measurement position at Meta is based in Seattle, Washington, United States and New York, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Staff Research Engineer, MetaAI Assistant Measurement position at Meta?
You can apply for the Staff Research Engineer, MetaAI Assistant Measurement position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.