Live opening · Posted 2 days ago

Research Manager

Harnham · California, United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyHarnham
LocationCalifornia, United States (Remote)
SalaryUp to $470K/yr
Work modeYes
SourceLinkedin
ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

Title: Research Manager
Location: USA Remote
Compensation: Up to $470k + Equity
Essential: A demonstrated research track record with an h-index of 20+
We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media, interactive experiences, and world models. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
This is a high-impact, cross-functional role focused on managing and growing an Applied ML Research team building cutting-edge tools for AI-based media and world models, with a strong research foundation in computer vision and direct exposure to multimodal work, VLMs/MLLMs, and Physical AI as part of their core research team.
What You'll Do
Manage and grow a team of senior researchers (likely 5-10), mentoring them and supporting their career growth while staying hands-on with research
Oversee the transition from research into production, working closely with engineering to ship state-of-the-art ML work
Partner with Product to initiate and develop research projects that translate into clear user value
Communicate goals, drive execution, and inspire through others across a cross-functional org
Translate product and business objectives into technical research strategies
Requirements
5+ years of industry experience as a research scientist in computer vision, with 1+ years managing teams
Comfortable managing senior researchers while remaining hands-on in a hybrid research engineering capacity
High emotional intelligence, with a track record of mentoring and developing other researchers
Deep interest in productionizing state-of-the-art ML research, having shipped research into product previously
Strong communication and collaboration skills across research, engineering, and product
If you're interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

Work arrangement
Yes

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