Moss
moss.dev
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
Headquartered in San Francisco, California, Moss is a developer tools and AI infrastructure provider. The company offers a high-performance runtime for real-time semantic search designed specifically for conversational AI agents, voice assistants, and copilots. By deploying local-first vector indexes directly across browsers, mobile devices, and cloud servers with drop-in SDKs, it enables software engineers and AI developers to eliminate network latency, execute sub-10 millisecond retrieval queries, and deliver instant, responsive AI interactions.
News
Building Voice AI That Feels Human: A Latency Budget Breakdown
The first sign that a voice agent is slow is usually not a latency graph. It is the user saying, "Hello?" a second time. That second "Hello?" can create a surprisingly difficult failure loop. The agent may already be generating a response, but the user do
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Report
Moss Is Generating Electrical Waves That Look Startlingly Like a Neural Network
Mosses are some of the earliest plants that appeared in the fossil record, but they're anything but simple.
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Report
The Production AI Stack: A Reference Architecture for Real-Time AI Systems
A founder built an AI support agent for his ecommerce store using what has become the standard modern AI stack: a large language model, a cloud vector database containing the company's help center, and a small set of tools for common actions like looking
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Report
The Clockwork Moss Tee: Cutting Through Greenwashing with GOTS-Verifie
If you're tired of vague claims and the constant whisper of greenwashing, I get it. We all do. The internet is a minefield of labels that promise everything but deliver little proof. Most 'sustainable' tees are indeed a scam, precisely because they lack t
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Report
Report
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Technologies
Tech DNA
Python
Rust
C++
PyTorch
CUDA
Whisper
AI/ML
Python
C++
Embeddings
Vector
AI Agents
Contrastive Learning
Fine-tuning
Knowledge Distillation
Multimodal AI
PyTorch
Quantization
RAG
Reinforcement Learning
Reranking
Speech Recognition
Synthetic Data
Transformers
Whisper
CUDA
CUDA Toolkit
Edge AI
Semantic Search
Semantic Search
Model Distillation
World Models
Frontend
JavaScript
Node JS
TypeScript
npm
WebAssembly
Other
Rust
Elixir
Kotlin
Swift
Stack modernity
69/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
$300k
+67% vs market
Rust
2 jobs
Required
$300k
+30% vs market
Embeddings
2 jobs
Required
$300k
+67% vs market
Vector
2 jobs
Required
$300k
+50% vs market
Fine-tuning
1 job
Required
$300k
+30% vs market
Reinforcement Learning
1 job
Required
$300k
+15% vs market
Quantization
1 job
Required
$300k
+18% vs market
Multimodal AI
1 job
Required
$300k
+13% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
17%
TypeScript
15%
JavaScript
14%
AI Agents
14%
RAG
9%
Rust
8%
Share of companies in the same industry that use each technology.
Stack changes
World Models
Sep 2026
Model Distillation
Sep 2026
WebAssembly
Sep 2026
TypeScript
Sep 2026
Swift
Sep 2026
Semantic Search
Sep 2026
Semantic Search
Sep 2026
npm
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Jobgether
Adobe
Bosch
Booz Allen Hamilton
Weekday
Accenture
Salary insights
Compensation ranges based on this company's open jobs
Median
$300k
Typical range
$200k – $300k
Open positions
3
3
Jobs
Middle
33.3%
Senior
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 1 | $200k | $200k |
| Senior | 2 | $300k | $300k |
Highest paying role
Machine Learning Engineer
$300k
Normalized to USD per year
Growth
Hiring Momentum
83/100
Scaling fast
Open positions
3
2 opened / 0 closed in 30 days
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
33% ▲
Backend
33% ▲
Customer Success
33% ▲
Activity Timeline
Added WebAssembly to stack
Sep 2026
Added TypeScript to stack
Sep 2026
Added Swift to stack
Sep 2026
Added Semantic Search to stack
Sep 2026
Added Semantic Search to stack
Sep 2026
Added npm to stack
Sep 2026
Added Node JS to stack
Sep 2026
Added Kotlin to stack
Sep 2026
Added JavaScript to stack
Sep 2026
Added Elixir to stack
Sep 2026
Added Edge AI to stack
Sep 2026
Added CUDA Toolkit to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
3 open roles 3 posted in 90 days 67% engineering 100% remote 50-200 est. staff $267k Avg Salary
hires for AI/ML, Backend, Customer Success
San Francisco, CA, US
Jobs
$150k – $200k per year • Equity 0–0.2% • Remote • Full-Time • 3+ years exp • San Francisco
Apply
$60k – $300k per year • Equity 0.1–0.5% • Remote • Full-Time • 6+ years exp • San Francisco
C++
Elixir
JavaScript
Kotlin
Node JS
Python
Rust
Swift
TypeScript
CUDA
CUDA Toolkit
Edge AI
Embeddings
Semantic Search
Semantic Search
Frontend
npm
WebAssembly
DevOps
Vector
Apply
$60k – $300k per year • Equity 0.1–0.5% • Remote • Full-Time • 6+ years exp • San Francisco
Python
Rust
AI Agents
Contrastive Learning
Embeddings
Fine-tuning
Knowledge Distillation
Multimodal AI
PyTorch
Quantization
RAG
Reinforcement Learning
Reranking
Speech Recognition
Synthetic Data
Transformers
Whisper
Model Distillation
World Models
DevOps
Vector
Apply