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Member of Technical Staff, Synthetic Data

52 Limited • San Francisco Bay Area
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AI Summary

Build high-leverage datasets, products, and user interfaces for AI model behavior. Develop internal tools for model evaluation and debugging. Partner with product managers and customers to improve model and system capabilities.

Key Highlights
Build high-leverage datasets, products, and user interfaces
Develop internal tools for model evaluation and debugging
Partner with product managers and customers to improve model and system capabilities
Key Responsibilities
Build high-leverage datasets, products, and user interfaces that unlock new model capabilities and use cases
Rapidly develop internal tools for model evaluation, debugging, and data inspection
Create and own evaluation frameworks measuring model quality, reliability, and emerging behaviors
Run experiments and analyses to understand how data, training decisions, and targeted interventions affect model performance
Turn raw model outputs and complex data into clear, inspectable user interfaces
Own technical domains end to end, from identifying the problem through implementation and iteration
Partner with product managers and customers to translate real-world needs into model and system improvements
Technical Skills Required
Python TypeScript Next.js
Benefits & Perks
Base salary of $180,000-$250,000
Equity
Visa sponsorship available
100% covered health insurance
Daily lunch and dinner
401(k) plan

Job Description


How you fill your 52 weeks is your business. Helping you find your next opportunity is ours.


We are searching for a Member of Technical Staff, Synthetic Data for our frontier AI model lab client. In this position, you will build the datasets, evaluation systems, internal tools, and user interfaces that help researchers understand and improve model behavior. This is a hands-on engineering role for someone who combines strong coding ability with product intuition, moves quickly in ambiguous environments, and wants to help build reliable AI systems for real-world use.


As Member of Technical Staff, Synthetic Data, you will:

  • Build high-leverage datasets, products, and user interfaces that unlock new model capabilities and use cases
  • Rapidly develop internal tools for model evaluation, debugging, and data inspection
  • Create and own evaluation frameworks measuring model quality, reliability, and emerging behaviors
  • Run experiments and analyses to understand how data, training decisions, and targeted interventions affect model performance
  • Turn raw model outputs and complex data into clear, inspectable user interfaces
  • Own technical domains end to end, from identifying the problem through implementation and iteration
  • Partner with product managers and customers to translate real-world needs into model and system improvements
  • Work primarily in Python, with TypeScript, Next.js, Tailwind CSS, and Kubernetes also used across the stack
  • Continuously explore new techniques for building trustworthy, production-ready AI products


Who we're searching for / About you:

  • Approximately 3-7 years of software engineering experience, with strong fundamentals and coding ability
  • Hands-on experience implementing LLM-powered systems and a practical understanding of their capabilities and limitations
  • Strong product intuition and an interest in how technical systems are actually used
  • Experience building data tools, evaluation systems, experimentation platforms, or user-facing interfaces
  • Ability to investigate model outputs critically rather than trusting automated results at face value
  • Comfortable moving quickly, prototyping solutions, and working through loosely defined problems
  • Strong analytical skills and experience designing rigorous experiments
  • High attention to detail and a strong standard for quality
  • Willingness to work fully in person with a small, highly collaborative team


We know that experience is gathered in many ways. If you have a demonstrated ability to fulfill the job duties but got there in a different way, please apply.


Logistics:

  • Full-time, direct-hire position
  • Fully in person in San Francisco near Embarcadero Station
  • Base salary of $180,000-$250,000 plus equity, depending on experience and leveling
  • Visa sponsorship available


Why Work with our Client:

  • Join a small frontier AI lab building reliable, general-purpose models for real-world automation
  • Work alongside a highly experienced team with backgrounds from OpenAI, Google Brain, and Meta/FAIR
  • Directly influence model intelligence, reliability, and production readiness
  • Own meaningful technical problems end to end within a flat, fast-moving organization
  • 100% covered health insurance
  • Daily lunch and dinner
  • 401(k) plan
  • Meaningful company equity


Why 52 Limited:

52 Limited is a digital staffing agency with an industry-leading focus on the creative + technology space. We exclusively place tech and creative talent in direct-hire, contract-to-hire, and contract roles.


At 52 Limited, we prioritize your success and well-being. We offer paid sick leave, comprehensive health insurance, and voluntary benefits to support you at every stage of your career. Our team stays connected with you regularly, advocating for your needs and ensuring you have everything you need to do your best work.


52 Limited's reputation in the recruiting industry is unparalleled in the Pacific Northwest. While we're headquartered right here in Portland, our tenured team routinely places world-class talent across the United States. We work with some of the most forward-thinking and recognizable clients in Portland, Seattle, Los Angeles, Austin, and beyond. To learn more about our team, check out www.52ltd.com/our/story.


We are committed to fostering a people-first candidate experience that benefits our talent, clients, and community. 52 Limited encourages a diversity of applicants of all backgrounds and identities to apply. Let us know if you need reasonable accommodation during the application or interview process.


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