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Member of Technical Staff, Research (Intern)

abundantSan FranciscoEngineering
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Salary
Not listed
Job type
Full-time
Experience
Intern
Posted
9 Sept 2026
Status
Open · checked 7d ago

About this role

The Member of Technical Staff, Research (Intern) position at abundant in San Francisco offers an opportunity to architect next-generation model reasoning and intelligence alongside the founding team. This internship suits exceptionally strong engineers and researchers who are currently contributing to frontier artificial intelligence research and wish to drive scalable data solutions.

Role Overview

The Member of Technical Staff, Research (Intern) role places the candidate at the intersection of research and execution in San Francisco. Working directly with the founding team, the intern helps design strategies with top-tier AI lab researchers to advance model reasoning. Candidates must indicate their preferred starting term of winter, summer, or fall during the application process.

Key Responsibilities

Design and execute a core research agenda focused on generalizable ideas that advance model reasoning and intelligence at scale, managing the full research-to-production lifecycle for live systems.
Collaborate with advanced AI research teams to engineer high-impact datasets and benchmarking efforts, focusing on alignment, safety, and optimal reward signals.
Identify, scope, and manage autonomous long-running research projects addressing critical bottlenecks in data scaling.
Work alongside engineering teams to build data pipelines, internal tooling, and high-performance deep learning algorithms.

Requirements

Research expertise in computer science, machine learning, natural language processing, or a related field, ideally with publications at major conferences such as NeurIPS, ICML, or ICLR.
Demonstrated experience shipping research to production, covering post-training, distillation, and high-stakes evaluation methodologies.
Practical background in large-scale agent systems including orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
Perspective on the societal and safety impacts of general-purpose AI systems, including experience advising on or shaping governmental policy related to AI safety and governance.

Skills and Tools

Machine learning algorithms
Deep learning implementations
Data pipelines and internal tooling
Agent systems orchestration frameworks and tool APIs
Distributed execution, observability, and logging infrastructure

Salary and Benefits

Base salary of $10,000 per month
Health, dental, and vision insurance
Flexible paid time off (PTO)

About the Company

Abundant builds training data solutions for AI models, focusing on scaling data for reinforcement learning and learning from experience. The founding team comprises former founders, machine learning engineers, roboticists, and data leads from Waymo, Google, Mercor, and AWS. The company collaborates with major artificial intelligence labs, frontier startups, and Fortune 500 enterprises to address the core data bottlenecks in artificial general intelligence development.

How to Apply

Applicants should apply directly on the official company careers page and specify their desired starting term in the application form.

Skills and tech stack

Machine LearningDeep LearningNLPAgent Systems FrameworksAWS

Questions candidates ask

What is the monthly salary for this internship?

The base salary is $10,000 per month.

Where is the position located?

The role is located in San Francisco.

What benefits are included?

Benefits include health, dental, and vision insurance, along with flexible paid time off.

How do I specify when I want to start?

Applicants must specify their preferred starting term (winter, summer, or fall) directly in the application form.

Who will I work with in this role?

Interns work directly with Abundant's founding team and alongside researchers from top-tier AI labs.

Ready to apply?

The application is on the official abundant careers page.

Apply on company site