Multiagent Coordination Scientist

HushOne, Inc.; Kirkland (WA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Stock options

401(k) with company match

Health, dental & vision

Gym membership

Remote-friendly

Job summary

HushOne, Inc. is seeking a researcher to advance coordination in distributed AI, focusing on how independent agents negotiate while preserving human boundaries.

The role emphasizes rigorous mathematical reasoning and experiments mapping to enforceable permissions. You will design a reproducible 90-day experiment with private constraints, partial information, and verification of results, collaborating with protocol engineers and identity teams.

Qualifications

• Research in distributed AI, game theory, multiagent learning, or coordination systems.
• Mathematical clarity and willingness to test a simpler alternative first.
• Reason about incentives and adversarial behavior, not just cooperation.
• Keep the human boundary intact in the formalism, not only in description.

Responsibilities

• Design a shared scheduling task with private constraints and one remote agent returning unreliable results.
• Collaborate with protocol and identity engineers to map coordination research to enforceable permissions.
• Produce a reproducible 90‑day experiment with explicit trust assumptions and comparisons.

Skills

Distributed AI

Game theory

Multiagent learning

Incentive analysis

Coordination protocols

Education

PhD in CS/AI

Tools

Simulation frameworks

Job description

You work on how independent agents cooperate without losing the intentions or the boundaries of the people they represent. This is the research under the directory and the marketplace: a seeker's agent and an offerer's agent negotiating on behalf of two humans who have each granted different things.

The work: Research delegation, negotiation, coordination under partial information and verification of returned results. Model misaligned incentives, untrusted peers and communication costs. Work with protocol and identity engineers so coordination research maps to enforceable permissions.

What good looks like: In your first 90 days, deliver a reproducible multiagent experiment with explicit trust assumptions, cancellation behavior and single-agent comparisons.

Evidence we look for: Bring research in distributed AI, game theory, multiagent learning or coordination systems. Evidence should show both mathematical clarity and a willingness to test simpler alternatives.

Required:

• Research in distributed AI, game theory, multiagent learning, or coordination systems
• Mathematical clarity, and the willingness to test a simpler alternative first
• You reason about incentives and adversarial behaviour, not just cooperation
• You keep the human's boundary intact in the formalism, not only in the description

Nice to have:

• Mechanism design
• Negotiation or auction systems in practice
• Protocol design experience

The exercise: Design a shared scheduling task where participants have private constraints and one remote agent returns an unreliable result.

How we work: We work together in the office, five days a week, and you can be based at any of our garages: Kirkland Garage (Kirkland, WA); UAE Garage (Dubai, Dubai). We hire across the United States, India and the UAE. We are remote-friendly around family: if you need to work from home some days to look after the people you love, we arrange that with you one person at a time, and we encourage people to use it rather than tough it out.

Pay: We publish what we pay. Indicative ranges by market and level are on our compensation page, and they are realistic going market rates rather than headline numbers. Wherever we hire we pay at least the local market rate, and for full-time roles our floor is a living wage, never the statutory minimum. Compensation is reviewed every year and on promotion.

Equity: Every full-time teammate gets stock options. Four-year vesting with a one-year cliff, sized to role, level and impact, and confirmed in writing at offer. High performers earn refresh grants.

Bonus and commission: An annual performance bonus tied to clear company and personal goals, indicatively 10 to 20 percent of base for non-sales roles. Customer-facing roles carry on-target earnings, typically a 50/50 split of base and variable, with uncapped commission and accelerators above quota.

Health and peace of mind: Medical, dental and vision for you and your family, plus life and disability cover. We have chosen the highest plan tier available to us rather than the cheapest one that clears the bar, because the point of this is that you never have to think about it. The specific plan numbers are confirmed in your offer letter.

401(k) with company matching: A 401(k) with a company match, so the years you spend here compound into something that is yours whatever happens next. The match formula is confirmed in your offer letter.

AI tokens: A budget of AI tokens of your own, because a company that says you should own your AI cannot be the company that rations it. Use them on the work and on whatever you are curious about.

Gym, and the everyday things: A gym membership, and a corporate benefits programme with its own app, where you redeem real discounts with a long list of retailers on the ordinary purchases of a life.

Family: We are remote-friendly around your family, arranged one person at a time, and we would rather you took it than toughed it out.

Referrals: Refer someone we hire full-time who stays a year and you get $1,000 plus $10,000 in referral stock-based equity, on top of your own package.