World Models Machine Learning Expert

up to $200/hr

source wording: “$150 - $200/hr”

Platform: AfterQuery
Category: Coding & software eval
Eligibility: Worldwide
Freshness: posted 4mo ago · seen live 35 min ago

What this role asks for

10–20 hrs/week
PhD
Machine learning

Read from the posting's own words: show the exact sentences

10–20 hrs/week: “…on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to…”
PhD: “…is a remote, project-based role for PhD-level researchers with deep expertise in world models and generative AI. You will…”
Machine learning: “…clearly and reproducibly Required qualifications - PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related quantitative field (or…”

The role, as AfterQuery describes it

This is a remote, project-based role for PhD-level researchers with deep expertise in world models and generative AI. You will complete tasks at the frontier of world model research — including model development, evaluation, and research tasks spanning video prediction, environment simulation, planning, and learned latent world representations. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge AI research problems, and a strong addition to your research portfolio.

Read the rest of the description (5 more paragraphs)

Responsibilities - Design, build, and evaluate world models for applications spanning video prediction, environment simulation, and agent planning - Develop and experiment with latent space representations, dynamics models, and imagination-based planning approaches - Conduct rigorous empirical evaluations of world model architectures across diverse environments and benchmarks - Contribute to research directions in generative modeling, self-supervised learning, and model-based reinforcement learning - Document methodologies, experimental results, and technical approaches clearly and reproducibly

Required qualifications - PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related quantitative field (or currently enrolled and ABD) - Published researcher with at least one first-author publication in a peer-reviewed venue (e.g., NeurIPS, ICML, ICLR, CVPR, or equivalent) - Demonstrated expertise in world models, generative modeling, or model-based reinforcement learning - Strong problem-solving skills and ability to work independently on open-ended research tasks

Preferred qualifications - Experience with video generation or prediction models (e.g., RSSM, DreamerV3, JEPA, or similar architectures) - Familiarity with model-based RL frameworks and environments (e.g., MuJoCo, DMControl, Atari, or similar) - Background in TA'ing or teaching deep learning, reinforcement learning, or generative modeling courses

Why apply - Flexible Time Commitment – Work on your schedule while tackling meaningful research challenges - Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart - Exceptional Pay – Project-based pay ranges from $150–$200/hour - Portfolio Building – Gain experience working on frontier world model research problems - Professional Growth – Sharpen your skills on varied, challenging generative modeling and simulation tasks

Employment type: Contract Time commitment: 10 hours/week Location: Remote

Posted by AfterQuery, reproduced here so you can judge the role before clicking. Original posting ↗

Apply on AfterQuery ↗

Source: platform job feed · first seen 22h ago · ID 1776315320593

World Models Machine Learning Expert

The role, as AfterQuery describes it

More like this