Reflection AI
reflection.ai
Actively hiring
AI Research Labs
Foundation Models
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$2.1B
2 rounds on record
Latest round
$2B
Series B · Oct 2025 · 12 mo ago
Team
65
US Form 5500 (plan participants) · Dec 2025
Hiring now
45
+7 posted in 30 days
Backers
10
Endeavor, Battery Ventures
The money's age
Due for its next round
12 months since the last round · and hiring
Momentum
6/100
hiring for its size
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
Oct 9, 2025
Raised a round Series B $2B
Mar 7, 2025
Raised a round Venture round $130M · PYMNTS.com
2024
Founded
Tractionpublic signals, read monthly
Web presence
top 0.11%
of 133.2M domains by links, Common Crawl
Hacker News stories
4
best: 26 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series B | Oct 2025 | $2B | — | nytimes.com |
| Venture round | Mar 2025 | $130M | — | PYMNTS.com |
Backed byfrom the funds' portfolios and accelerator catalogs
Endeavor 
Battery Ventures 
Advent International 
AIX Ventures 
All rights reserved 
CRV 
Lightspeed Venture Partners 
Sequoia Capital 
Sierra Ventures 
Silicon Valley Investclub Investors in similar startupsfunds that back the companies most like this one
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How Reflection AI hires
Truth index
B 84/100
Median time to fill
85 days
Ghost roles
18%
Stale roles
0%
Reposted roles
0%
Reflection AI scores B on the Alion truth index (A is best, E worst), measured over 45 open roles re-checked against its own hiring board: 18% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 85 days. 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
Visa sponsorship
- United States · H-1B filings in 12 months: 35
- United Kingdom · Licensed UK visa sponsor (Skilled Worker)
Overview
Reflection AI is a company founded in 2024 by former Google DeepMind researchers who worked on AlphaGo and large language models. It builds autonomous coding agents and has committed to releasing frontier open-weight models as an American counterweight to Chinese open model releases. The company raised a very large round in 2025 to fund training at frontier scale.
News
Reflection inks $1B compute deal with Nebius
Reflection AI has signed a $1 billion deal to access Nebius' compute. Reflection was founded in 2024 and is developing open source AI technology.
Read more
Report
Report
SpaceX Just Inked a New AI Deal Worth Up to $6.3 Billion
The small deal could grow into something huge if Reflection AI continues its growth curve.
Read more
Report
Elon Musk's SpaceX Turns to Reflection AI in $6.3B Compute Deal
SpaceX signed a multibillion-dollar data center deal with Reflection AI, adding another AI startup to its growing capacity business.
Read more
Report
SpaceX Reflection AI deal: $6.3bn for compute
Reflection AI will pay SpaceX $150mn a month for compute through 2029. The SpaceX Reflection AI deal puts Nvidia on both sides of the trade.
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Report
SpaceX stock in focus as company signs $6.3 billion AI deal with Reflection AI
SpaceX stock is in focus after the company signed a $6.3 billion AI deal with Reflection AI, providing Nvidia GB300 computing power through 2029.
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Report
SpaceX inks compute deal with Reflection AI, an open source AI lab
Reflection AI will pay $150 million a month beginning July 1, 2026 through 2029 for immediate access to Nvidia's latest GB300 AI chips and supporting hardware across SpaceX's Colossus 2 data center near Memphis, Tennessee.
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Report
SpaceX reportedly signs $6.3B computing deal with Reflection AI
Investing.com -- SpaceX has entered into a computing power agreement with Nvidia-backed Reflection AI that could be worth $6.3 billion through 2029, according to a CNBC report.
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Tech stack
Technologies named in job postings at Reflection AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
89
Postings analysed
48
Stack modernity
70/100AI adopter
Languages
Python40%
TypeScript13%
Go10%
Rust6%
Frameworks & libraries
Megatron-LM8%
NCCL8%
Ray8%
Flink6%
Databases
BigQuery4%
Delta Lake4%
Google BigQuery4%
Snowflake4%
Cloud & platforms
Kubernetes35%
GCP10%
AWS8%
Windows8%
AI & ML
LLM27%
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Full Reflection AI tech stack
89 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
61/100
Growing
Open positions
45
3 opened / 13 closed in 30 days
Median time-to-fill
86 days
faster than 16% of the market
ATS activity
Every ~4 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
22% ▼
Backend
17% ▼
Security
9% ▲
Finance
9%
HR
9% ▲
Operations
9%
Activity Timeline
Added Zapier to stack
Oct 2026
Added NIST 800-171 to stack
Oct 2026
Added NIST 800-53 to stack
Oct 2026
Added GDPR to stack
Oct 2026
Added Rest API to stack
Sep 2026
Added DNS to stack
Sep 2026
Added BGP to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Windows to stack
Sep 2026
Added Linux to stack
Sep 2026
Added PKI to stack
Sep 2026
Added Active Directory to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
4
Hiring now
4
Countries
3
Busiest office
New York
Loading the map
Headquarters
Builds here
Office with open vacancies
Tap a pin for the office
New York
United States
HQ
42 open roles 23 posted in 90 days 76% engineering 200-500 est. staff
hires for AI/ML, Backend, Security
61 9th Avenue, 3rd Floor
San Francisco
United States
Engineering / R&D
43 open roles 23 posted in 90 days 77% engineering 200-500 est. staff
hires for AI/ML, Backend, Security
140 New Montgomery Street
London
United Kingdom
Engineering / R&D
28 open roles 14 posted in 90 days 86% engineering 50-200 est. staff
hires for AI/ML, Backend, Data Science
Seoul
South Korea
Engineering / R&D
2 open roles 100% engineering 10-50 est. staff
hires for AI/ML
Earlier presence
Washington, United States
Jobs
≈ $176k – $360k per year (Estimated) • Equity • In office • Full-Time • New York • San Francisco • London
Python
Rust
C++
Pre-training
Apply
≈ $96k – $187k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • New York • San Francisco
Python
ISO 27001
SOC 2
GDPR
NIST 800-53
NIST 800-171
Apply
≈ $173k – $353k per year (Estimated) • Equity • In office • Full-Time • New York • San Francisco • London
Go
Rust
C++
Protobuf
DevOps
gRPC
Kubernetes
SLI/SLO/SLA
Apply
≈ $171k – $350k per year (Estimated) • Equity • In office • Full-Time • New York • San Francisco • London
Snowflake
Delta Lake
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Dagster
Great Expectations
Flink
DevOps
SLI/SLO/SLA
Apply
≈ $168k – $339k per year (Estimated) • Equity • In office • Full-Time • 8+ years exp • San Francisco • London • New York
Snowflake
Delta Lake
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Dagster
Great Expectations
Flink
DevOps
SLI/SLO/SLA
Apply
≈ $177k – $358k per year (Estimated) • Equity • In office • Full-Time • San Francisco • London • New York
NCCL
DevOps
Kubernetes
Apply
≈ $159k – $323k per year (Estimated) • Equity • In office • Full-Time • San Francisco • London • New York
Python
TypeScript
FastAPI
DevOps
Rest API
gRPC
Apply
≈ $128k – $249k per year (Estimated) • Equity • In office • Full-Time • 7+ years exp • New York • San Francisco
Python
Terraform
Pulumi
CI/CD
Kubernetes
Cloudflare
IAM
Linux
Windows
Cybersecurity
ISO 27001
NIST CSF
SOC 2
FedRAMP
Zero Trust
Apply
≈ $153k – $312k per year (Estimated) • Equity • In office • Full-Time • 12+ years exp • New York • San Francisco
Kubernetes
Cybersecurity
ISO 27001
NIST CSF
SOC 2
FedRAMP
Zero Trust
Apply
≈ $99k – $204k per year (Estimated) • Equity • In office • Full-Time • 5+ years exp • San Francisco • New York
GCP
IAM
Windows
Cybersecurity
Okta
ISO 27001
SOC 2
Least Privilege
Management
Slack
Google Workspace
Apply
≈ $209k – $427k per year (Estimated) • Equity • In office • Full-Time • Master's Degree • San Francisco • London • New York
NLP
Tokenization
Post-training
Pre-training
Machine Learning
Apply
≈ $187k – $382k per year (Estimated) • Equity • In office • Full-Time • Bachelor's Degree • New York • San Francisco • London
Reinforcement Learning
LLM
Synthetic Data
Post-training
Pre-training
World Models
Machine Learning
Apply