View on Hacker News
Roles
Compensation
USD 150000 - 200000
ML Engineer roles: $150K-$200K + 1.0-2.0% equity.
- Salary period
- yearly
- Equity
- 1.0-2.0% equity
Benefits
- 1.0-2.0% equity
Tech stack
Required
Location
San Francisco, CA
Work setup
- Employment
- full-time
- Level
- Principal
- Remote policy
- ONSiTE
- Remote scope
- onsite
Role details
Responsibilities
- Own the full stack for how AI companions play games: game-state understanding
- Own learned policies/controllers
- Own world models
- Own action representation
- Own MLP/policy heads
- Own memory
- Own evals
- Own data pipelines
- Own inference
- Own product iteration
- Explore and ship low-latency speech systems for real-time play
- Develop duplex/streaming voice models
- Develop speech understanding
- Develop turn-taking
- Handle interruptions
- Make latency/quality tradeoffs
- Develop prosody/emotion
- Develop conversational evals
Requirements
- Shipped applied ML systems
- Want to own messy model behavior all the way from research prototype to live gameplay
- Deep audio/speech ML experience
- Care about making voice feel socially present during gameplay
Application
email founders@frisson-labs.com with the role in the subject, plus your resume/GitHub/research/portfolio and a short note on why AI companions + gaming interests you.
- Email subject
- Founding ML Engineer - General OR Founding ML Engineer - Audio/Speech
- Portfolio
- required
- GitHub
- preferred
- Cover letter
- not required
- Apply flow
Company context
- Product
- AI players that play like Discord friends
- HQ
- San Francisco, CA
- Stage
- startup
- Funding
- backed by General Catalyst, South Park Commons, Supercell, and NVIDIA startups
Contact
founders@frisson-labs.com
Description
Frisson Labs is building AI players that play like Discord friends. The hard part is making them respond with low latency, persistent personality, voice timing, and actual game competence: understanding what is happening, deciding what to do, and executing in real time. Open roles: - Founding ML Engineer - General: own the full stack for how AI companions play games: game-state understanding, learned policies/controllers, world models, action representation, MLP/policy heads, memory, evals, data pipelines, inference, and product iteration. Strong fit if you have shipped applied ML systems and want to own messy model behavior all the way from research prototype to live gameplay. - Founding ML Engineer - Audio/Speech: explore and ship low-latency speech systems for real-time play: duplex/streaming voice models, speech understanding, turn-taking, interruption handling, latency/quality tradeoffs, prosody/emotion, and conversational evals. Strong fit if you have deep audio/speech ML experience and care about making voice feel socially present during gameplay. Apply: email founders@frisson-labs.com with the role in the subject, plus your resume/GitHub/research/portfolio and a short note on why AI companions + gaming interests you.
Similar jobs
-
Loading similar jobs...