The organization emphasizes creating a safe and respectful online space by encouraging constructive conversations.
Staff Research Engineer, MetaAI Assistant Measurement
Seattle +3$9k – $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
Company at a glance
Meta focuses on shaping the future of human connection by developing technologies that help people connect, form communities, and grow businesses, including moving beyond 2D screens toward immersive AR/VR experiences.
IndustrySoftware Development
Team Size10000+
Locations
Seattle, Washington, United States ·New York, United States ·Bellevue, Washington, United States ·Menlo Park, California, United States
Websitemetacareers.com
LinkedInLinkedIn
Culture & values
There is an emphasis on starting with an open mind and engaging with empathy when discussing ideas.
Comments violating Community Standards will be removed or hidden, and people are expected to treat everybody with respect.
Interactions should be kept constructive to learn about and grow understanding of others.
Moderators uphold guidelines to benefit everyone, every day.
The culture promotes a growth mindset by learning from interactions and expanding understanding.
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