VMAX
vmax.com
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How VMAX hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
VMAX scores B on the Alion truth index (A is best, E worst), measured over 7 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% 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
VMAX VX2 Lite review: Power and full suspension fun without the heavyweight price
Electric scooters have long demonstrated an interesting dichotomy. On one end of the spectrum, you've got cheap commuter scooters that...
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Think a single-motor scooter can't be exciting? The VMAX VX2 Hub might change your mind.
Despite its understated design and single-motor setup, the VMAX VX2 Hub delivers acceleration and real-world performance that rival those of many dual-motor scooters, all while remaining surprisingly practical for everyday commuting.
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unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning
We introduce unix-ctf, a procedural generator of capture-the-flag environments for training and evaluating Unix competence in language-model shell agents.
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Why The Yamaha VMAX Is A Muscle Cruiser Legend
The Yamaha V-Max rewrote the cruiser rule book.
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Take a Bow, The Yamaha VMAX Leaves the Scene
The current version of the Yamaha XMAX is not compliant with the Euro 4 emission standards that take effect in 2017, and will leave the scene
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Yamaha VMAX 60th Anniversary Shows How the Bike Should Really Be Like
The VMAX 60th Anniversary Edition left us breathing heavily, as this new limited run shows the true evil nature of the machine in a darkened livery
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2012 Star VMAX Review
All motorcycles derive personality characteristics from the performance, sound and power delivery of their motor but the Star VMAX is the epitome of a motorcycle defined by its engine.
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Tech stack
Technologies named in job postings at VMAX over the last 12 months, by layer, with the share of postings for each.
Technologies in use
15
Postings analysed
7
Stack modernity
73/100AI adopter
Languages
Python
Frameworks & libraries
JAX
PyTorch
SGLang
Cloud & platforms
vLLM
AI & ML
LLM
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Full VMAX tech stack
15 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$500k
Typical range
$500k
Open positions
5
5
Jobs
Staff
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Staff | 5 | $500k | $500k |
Highest paying role
Member of Technical Staff - Applied RL
$500k
Normalized to USD per year
All salaries at VMAX
By role, level and city, against the market · 5 jobs with pay
Growth
Hiring Momentum
51/100
Stable
Open positions
7
0 opened / 0 closed in 30 days
ATS activity
Every ~14 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
71% ▼
Science & Research
29% ▼
Activity Timeline
Added Machine Learning 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
SF
8 open roles 88% engineering 1-10 est. staff $500k Avg Salary
hires for AI/ML, Science & Research, Early Careers
Jobs
$300k – $500k per year • Hybrid • San Francisco
vLLM
SGLang
LLM
Apply
$300k – $500k per year • Hybrid • PhD • San Francisco
Python
Reinforcement Learning
JAX
AI Agents
PyTorch
LLM
Post-training
Pre-training
Interpretability
Reward Modeling
Machine Learning
Robotics
Reinforcement Learning
Apply
$300k – $500k per year • Hybrid • PhD • San Francisco
Python
Reinforcement Learning
JAX
AI Agents
PyTorch
LLM
Post-training
Machine Learning
Apply
$300k – $500k per year • Hybrid • PhD • San Francisco
Python
Reinforcement Learning
JAX
PyTorch
LLM
Post-training
Interpretability
Reward Modeling
Machine Learning
Apply
$300k – $500k per year • Hybrid • San Francisco
Python
Reinforcement Learning
JAX
PyTorch
Post-training
LLM Evaluation
Apply