---
title: 'Member of Technical Staff - Data Ingestion Engineer at Reflection'
canonical: 'https://feeny.ai/job/member-of-technical-staff-data-ingestion-engineer-reflection-san-francisco-tpg0v0x2yavd'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff - Data Ingestion Engineer at Reflection

- **Company:** Reflection
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/reflectionai/d85b167c-10cb-4ae6-b792-09afe8a6d3c2

## Job description

## Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

## About the Role

Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.

As a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models. You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines. You’ll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.

This role is ideal for engineers who love building robust distributed systems, but who also want to run experiments, reason about tradeoffs in data acquisition, and iterate quickly based on measurable impact.

Working closely with our pre-training and data quality teams, you will:

- Build and operate large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery
- Run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs
- Analyze ingested data to identify gaps, redundancy, and areas to improve
- Build ingestion pipelines that scale reliably across large data campaigns
- Develop specialized crawlers for high-priority data sources
- Review code, debug production issues, and continuously improve ingestion infrastructure

About You:

- Curious about how training data influences model capabilities, and can iterate quickly based on measurable downstream impact
- Able to collaborate tightly across functions: researchers, infra, operations, and external partners.
- Enjoy working in a hybrid research–engineering role

Skills and Qualifications:

- Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar technologies.
- Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training
- Comfortable working with very large datasets (multi-TB to PB scale) and building systems that are observable, testable, and maintainable
- Comfortable designing experiments and using data to guide system improvements
- Excellent communication skills. You can explain system behavior. You consider and communicate tradeoffs clearly

What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

- Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
- Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
- Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
- Meals: Lunch and dinner are provided in the office daily.
- Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
- Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
- Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
- Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

## About Reflection

## Company Overview
- **One-liner**: Reflection is an AI lab building frontier open-weight models and superhuman coding agents, founded by former researchers from DeepMind, OpenAI, and Anthropic.
- **Entity Type**: Private (funding stage: Series B)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024 (seed round in September 2024)
- **Founders**: Misha Laskin (Co-Founder, CEO), Ioannis Alexandros Antonoglou (Co-Founder, President & CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence (AI research and development), Software Development
- **Target customers**: Enterprises, governments, sovereign entities, and developers seeking open, high-performance AI models and autonomous coding agents (B2B, B2G).
- **Mission or purpose statement**: "Make intelligence open and accessible to all" – building frontier open-weight models with transparent research and collaborative development.

## Products & Services
- **Reflection Open-Weight Models**: Frontier large language models (LLMs) designed for enterprise and sovereign use, offering ownership and control.
- **As I/O (Announced 2025)**: A production-ready platform "powered by Reflection" that gives organizations a complete, integrated system for deploying AI agents and workloads.
- **Autonomous Coding Agents**: Superhuman coding agents that automate knowledge work performed on a computer (core research focus).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: **Total Funding** – $2.13 billion across three rounds:
  - Seed (Sep 2024): $25M (2 investors)
  - Series A (Mar 2025): $105M (2 investors)
  - Series B (Sep 2025): $2.0B (12 investors)
- **Notable Investors/Partners**: Investor names not publicly listed in available sources; board includes Max Gazor and Raviraj Jain. Partners not disclosed.
- **Growth Signals**:
  - Headcount grew **411.4% YoY** to 126 employees (as of mid-2026).
  - Active job postings: **80** (up 1,233% YoY).
  - LinkedIn followers: 21,763 (up 508% YoY).
  - Offices in New York (HQ), San Francisco, London, Washington D.C., and Toronto.
  - Talent sourced from Google DeepMind (13), Meta (14), OpenAI (3), and other top labs.

## Competitive Advantages
- **Open-weight philosophy**: Differentiates from closed labs like OpenAI and Anthropic by giving enterprises and governments full ownership and control of frontier AI.
- **World-class team**: Founders and researchers previously built ChatGPT, Gemini, AlphaGo, and AlphaZero – proven track record in both LLMs and agent systems.
- **Massive capital**: $2.1B in funding allows aggressive compute investment and talent acquisition.
- **Full-stack AI capability**: From training frontier LLMs to deploying production-grade agent platforms (As I/O).

## Strategic Focus
- **Current priorities**: Scaling open-weight models to frontier performance; building autonomous coding agents that automate knowledge work; expanding enterprise and sovereign sales (e.g., "Regional Commercial Lead, Sovereign – Europe" job posting).
- **Direction**: Making open intelligence the default for enterprise and government AI adoption, with a strong emphasis on transparency and sovereign control.

## Why Work Here
- **Culture highlights**: Mission-driven ("Mission above ego"), high trust, extreme ownership, and collaboration. Values include "Trust through truth" and "One team".
- **Remote/hybrid/office policy**: In-office daily with lunch and dinner provided. Offices in New York, San Francisco, London, Washington D.C., and Toronto. Relocation support available.
- **Notable perks**:
  - **22 weeks paid parental leave** for all new parents (including adoptive and surrogate).
  - Unlimited paid time off (U.S.) / 30 days (U.K.).
  - Stock options for all employees.
  - Comprehensive medical, dental, vision, life insurance, and annual wellness allowance.
  - Visa sponsorship for exceptional talent.
- **Engineering culture**: Build from the ground up alongside top researchers and engineers; strong emphasis on research and engineering roles (62 technical employees out of 126).

## Sources
1. [reflection.ai](https://reflection.ai/)
2. [Reflection Careers](https://reflection.ai/careers)
3. [LinkedIn - Reflection](https://www.linkedin.com/company/reflectionai)
4. [The Org - ReflectionAI](https://theorg.com/org/reflectionai)
5. [Ashby Jobs - Reflection](https://jobs.ashbyhq.com/reflectionai)

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