afterquery

Software Engineering Intern

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • Intern
  • Engineering
  • San Francisco
Work arrangement
onsite
Employment
Intern
Stated compensation
USD 10,000–10,000 1 MONTH
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
Intern
Compensation
USD 10,000–10,000 1 MONTH
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

About AfterQueryAfterQuery 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. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. 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. Why ApplyMassive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.
Read full descriptionShow less description
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up. Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives. Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers. OverviewWorking with our core engineering team, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly. ResponsibilitiesBuild and scale complex data capturing workflows across web (Next.js) and desktop (Python) Architect and optimize data pipelines that experience high throughput, with heavy loads Collaborate with the founding team to define product strategy and ship features fast. Set engineering best practices and lay the groundwork for future team growth. Required QualificationsAble to take a gap semester off and join our team in person in San Francisco Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS) Storage, caching & search: Hands‑on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines. Any background in AI research, LLM evaluation, or human‑in‑the‑loop systems Preferred QualificationsExperience getting your ideas into production (founder experience preferred) Company Benefits (For Eligible Employees): Health Insurance: Medical, Vision, Dental 401(k) with Employer Match Daily Meals: Daily UberEats Stipend Monthly Wellness Stipend We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law. We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.
Original formatting and links
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. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. 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.

Why Apply

Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.

Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.

Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.

Overview

Working with our core engineering team, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.

Responsibilities
  • Build and scale complex data capturing workflows across web (Next.js) and desktop (Python)

  • Architect and optimize data pipelines that experience high throughput, with heavy loads

  • Collaborate with the founding team to define product strategy and ship features fast.

  • Set engineering best practices and lay the groundwork for future team growth.

Required Qualifications
  • Able to take a gap semester off and join our team in person in San Francisco

  • Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications

  • Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)

  • Storage, caching & search: Hands‑on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines.

  • Any background in AI research, LLM evaluation, or human‑in‑the‑loop systems

Preferred Qualifications
  • Experience getting your ideas into production (founder experience preferred)

Company Benefits (For Eligible Employees):

  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.

We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job