Actively hiring
AI Research Labs
Foundation Models
Artificial Intelligence
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$200M
1 round on record
Latest round
$200M
Seed · Jun 2026 · 3 mo ago
Team
51-200
employees, estimated range
Hiring now
12
+1 posted in 30 days
Backers
1
Valueaddvc
The money's age
Fresh money
3 months since the last round · and hiring
Momentum
38/100
hiring for its size, in the news, fresh money
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jun 25
Raised a round Seed $200M · SiliconANGLE
Tractionpublic signals, read monthly
Web presence
top 0.11%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Seed | Jun 2026 | $200M | — | SiliconANGLE |
Backed byfrom the funds' portfolios and accelerator catalogs
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How Mirendil hires
Truth index
C 55/100
Ghost roles
75%
Stale roles
0%
Reposted roles
0%
Mirendil scores C on the Alion truth index (A is best, E worst), measured over 12 open roles re-checked against its own hiring board: 75% look like ghost listings, 0% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Mirendil Selects Google Cloud AI Hypercomputer For TPU And NVIDIA GPU Training Infrastructure
Mirendil is expanding its use of Google Cloud's AI Hypercomputer to support the pre-training and post-training of advanced artificial intelligence models. The frontier AI research company will use a combination of Google Tensor Processing Units and NVIDIA
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Report
Don't Be Afraid of Self-Improving AI, Says a16z-Backed Startup Mirendil
Some call it a dangerous path to runaway AI, others call it vibe research.
Read more
Report
Mirendil raises $200M to build AI that improves AI
Mirendil, founded by two ex-Anthropic researchers, raised $200M at a $1bn valuation to sell self-improving AI research to everyone.
Read more
Report
Mirendil Raises $200 Million Seed Round To Build Self-Accelerating AI R&D Systems
Mirendil announced its formal launch with a $200 million seed round led by Andreessen Horowitz and Kleiner Perkins. NVIDIA also invested in the company, along with other backers.
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Report
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Tech stack
Technologies named in job postings at Mirendil over the last 12 months, by layer, with the share of postings for each.
Technologies in use
16
Postings analysed
7
Stack modernity
60/100
Frameworks & libraries
SGLang
TensorRT-LLM
Cloud & platforms
Kubernetes
vLLM
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Full Mirendil tech stack
16 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$400k
Typical range
$350k – $400k
Open positions
11
11
Jobs
Staff
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Staff | 11 | $400k | $350k – $400k |
Highest paying role
Member of Technical Staff, Designer
$400k
Normalized to USD per year
Growth
Hiring Momentum
32/100
Slowing
Open positions
12
1 opened / 0 closed in 30 days
ATS activity
Every ~7 hours
Today
Hiring Dynamics
0%
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% ▼
Administrative
33% ▲
Design
33% ▲
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
Engineering / R&D
12 open roles 3 posted in 90 days 83% engineering 50-200 est. staff $395k Avg Salary
hires for AI/ML, Administrative, Design
Jobs
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Apply
$200k – $350k per year • Equity • In office • Full-Time • Master's Degree • San Francisco
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
vLLM
Quantization
AI Agents
SGLang
TensorRT
TensorRT-LLM
Post-training
Speculative Decoding
KV Cache
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Post-training
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Reinforcement Learning
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Post-training
Reward Modeling
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Knowledge Distillation
SFT
Post-training
Model Distillation
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Kubernetes
Apply
$300k – $400k per year • Equity • In office • Full-Time • San Francisco
Post-training
Pre-training
Apply
Financials
Total raised
$200M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2026 | $200M | Details |

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