Research Scientist (Icml)
AfterQuery
OnSite
San Francisco
Uncategorized
Job Score
70 pts
On-site model (+70)
About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development.
We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve.
This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
The Role
Your job is to prove that our data works. You will design and run training experiments that isolate the impact of our datasets on model behavior. This includes SFT and RL-based post-training, where you’ll measure how different data sources shift capability, generalization, and alignment. Working closely with partner labs, you will turn our datasets into clear, defensible evidence: this data → this improvement → under these conditions. This is experimental, high-leverage work.
What You'll Do
Run controlled SFT and RL experiments to measure the impact of our datasets on model performance.
Help build public evals and new data types that push the frontier.
Publish external-facing research, blog posts, and technical reports.
Work with internal SPLs to iterate on data quality based on your results.
What We're Looking For
Strong familiarity with LLM training and evaluation methodologies.
Genuine obsession with how data structure, selection, and quality drive model behavior.
Ability to design lightweight experiments, move fast, and extract actionable insights from messy results.
Comfort working across domains (you'll touch finance, software engineering, policy, and more).
A bias toward building over theorizing.
Great candidates are undergrad research or master's research (but haven't done a phd).
Compensation Structure:
Annual target cash compensation of $250-450K + meaningful equity
Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Agile
The Agile and Digital Transformation area is fundamental for organizations seeking efficiency and rapid adaptation. Agile professionals facilitate processes, eliminate bottlenecks, and promote a culture of continuous improvement.
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The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.
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Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.
About UI Design
The User Interface (UI) Design area focuses on creating and designing all the visual elements that users interact with in a digital product. This includes screens, buttons, icons, typography, color palettes, and responsive layouts, ensuring an aesthetically pleasing, consistent, and easy-to-use interface. Skills in tools like Figma and knowledge of design systems are essential.
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The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.
Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.
Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.