Research Scientist

Metacognition; Australia; Remote; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive remuneration

Remote working

Opportunities to learn and work with领先

Collaborative, fast-moving environment

Job summary

Metacognition is an early-stage startup focused on advancing AI through memory, reasoning and multimodal learning. We seek a Research Scientist to set a research agenda and publish at top venues.

You will lead research threads, mentor PhD interns and collaborate with the Chief Scientist, other researchers and ML engineers. Remote-friendly role with opportunities to collaborate with international academic partners.

Qualifications

• PhD in Machine Learning, Computer Vision, NLP, or a related field.
• Strong publication record at top AI venues.
• Demonstrated ability to independently drive research from idea to publication.
• Deep technical expertise in at least one: memory, reasoning, multimodal learning, or large-scale model training.

Responsibilities

• Define and pursue original research questions within the company's priority areas (memory, reasoning, planning, data, simulation, multimodal AI).
• Publish at top AI venues (NeurIPS, ICML, ICLR, CVPR, ECCV).
• Collaborate with research scientists and ML engineers to develop and validate ideas.
• Engage with external academic collaborators and the broader AI research community.
• Mentor PhD interns and junior research scientists.
• Contribute to a rigorous and supportive research culture.

Skills

Independent researcher

Research leadership

Publication track record

Collaboration

Education

PhD in ML/CV/NLP or related field

Job description

Role Overview

The Research Scientist is an independent, researcher who will contribute original ideas, lead research threads, and collaborate closely with the Chief Scientist, other researchers, and PhD interns. Research Scientists are expected to set their own research agenda in collaboration with the Chief Scientist and aligned with the company's priority areas. They should be familiar with the latest research and and drive work through to publication.

Role scope will be calibrated to the experience and profile of the candidate.

Key Responsibilities

Research

• Define and pursue original research questions within the company's priority areas (memory, reasoning, planning, data, simulation, multimodal AI).




• Publish at top AI venues (NeurIPS, ICML, ICLR, CVPR, ECCV, etc.).




• Collaborate with research scientists and ML engineers to develop and validate ideas.




• Engage with external academic collaborators and the broader AI research community.

Mentorship

• Mentor PhD interns and junior research scientists.




• Contribute to a rigorous and supportive research culture.

Requirements

Essential

• PhD in Machine Learning, Computer Vision, NLP, or a related field.




• Strong publication record at top AI venues.




• Demonstrated ability to independently drive research from idea to publication.




• Deep technical expertise in at least one of: reasoning, memory, multimodal learning, or large-scale model training.

Preferred

• Postdoctoral experience or equivalent independent research experience.




• Experience mentoring students or junior researchers.

__________________________

Why join Metacognition?

You’ll work alongside leading researchers, engineers and thinkers to build intelligent systems capable of learning, remembering and reasoning over time. We're an early stage startup with ambitious goals. Joining us will give you a genuine opportunity to shape both our technology and the company we become.

What you can expect

• Competitive remuneration




• Remote working




• The opportunity to work with leading researchers, engineers and industry experts




• A highly collaborative, fast-moving environment




• Meaningful ownership and the opportunity to influence how we build and grow




• Opportunities to learn, experiment and work on genuinely challenging problems

Metacognition is committed to creating an inclusive workplace where different perspectives, experiences and backgrounds are valued. We encourage applications from people with diverse backgrounds and experiences.