Latest AI JobsBrowse Jobs
A

Research Fellow

abundantSan FranciscoEngineering
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
16 Sept 2026
Status
Open · checked 7d ago

About this role

Abundant is hiring a Research Fellow in San Francisco to architect next-generation model reasoning and intelligence alongside the founding team. This position suits experienced researchers with a strong publication record and a background in shipping research to production systems.

Role Overview

The Research Fellow position places individuals at the intersection of research and execution. Working directly with the founding team in San Francisco, the person in this role will co-create strategies with researchers from prominent artificial intelligence laboratories to advance state-of-the-art boundaries.

Key Responsibilities

Drive foundational research and execution by designing a core research agenda to discover generalizable concepts that enhance model reasoning at scale.
Own the full research-to-production lifecycle to ensure fast deployment of experimental work into active systems.
Partner with advanced research teams to engineer high-impact datasets and benchmarking initiatives focused on model alignment, safety, and reward signals.
Autonomously scope and manage long-running research projects targeting data scaling for general intelligence.
Collaborate with engineering teams on data pipelines, internal tooling, and deep learning implementations.

Requirements

Research expertise in computer science, machine learning, natural language processing, or a related domain, ideally demonstrated through publications at major conferences such as NeurIPS, ICML, or ICLR.
Demonstrated experience deploying research directly to production systems with a focus on post-training, distillation, and evaluation methodologies.
Familiarity with large-scale agent systems, including orchestration frameworks, tool APIs, distributed execution, and logging infrastructure.
Strategic perspective on the societal and safety impacts of general-purpose intelligence systems, including experience advising on or shaping governmental policy related to artificial intelligence safety and governance.

Skills and Tools

Machine Learning
Natural Language Processing
Agent Systems Orchestration Frameworks
Distributed Execution Tooling

Salary and Benefits

Base salary of $14,500 per month.
Health, dental, and vision insurance.
Flexible paid time off.

About the Company

Abundant builds training data infrastructure for artificial intelligence models, operating with a founding team composed of former founders, machine learning engineers, roboticists, and data leads from organizations such as Waymo, Google, Mercor, and AWS. The company collaborates with top artificial intelligence laboratories, frontier startups, and Fortune 500 enterprises to address data scarcity and scaling bottlenecks.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Machine LearningNLPDistributed ExecutionAgent SystemsAWSDeep Learning

Questions candidates ask

What is the location of the Research Fellow role?

The role is located in San Francisco.

What is the compensation for this position?

The base salary is $14,500 per month, alongside health, dental, vision benefits, and flexible paid time off.

Who will the Research Fellow work with?

The fellow will work directly with Abundant's founding team and top-tier researchers from various artificial intelligence laboratories.

What qualifications are expected regarding research publications?

Candidates should have research expertise in fields like computer science, machine learning, or natural language processing, ideally with work published at major conferences such as NeurIPS, ICML, or ICLR.

Is policy experience required for this role?

Yes, experience advising on or shaping governmental policy related to artificial intelligence safety and governance is required.

Ready to apply?

The application is on the official abundant careers page.

Apply on company site