Maker Maker AI
makermaker.ai
Actively hiring
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How Maker Maker AI hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Maker Maker AI scores B on the Alion truth index (A is best, E worst), measured over 5 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
Tech stack
Technologies named in job postings at Maker Maker AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
32
Postings analysed
8
Stack modernity
58/100
Languages
Python
C++
Frameworks & libraries
PyTorch
JAX
Ray
CUDA
Cloud & platforms
Kubernetes
CUDA Toolkit
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Full Maker Maker AI tech stack
32 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
32/100
Slowing
Open positions
6
1 opened / 2 closed in 30 days
Median time-to-fill
66 days
faster than 22% of the market
ATS activity
Every ~10 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
100% ▲
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
6 open roles 2 posted in 90 days 100% engineering
hires for AI/ML
Jobs
≈ $178k – $338k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Francisco
Quantization
Knowledge Distillation
PyTorch
Mixture of Experts
Post-training
Speculative Decoding
Multi-Agent Systems
Model Distillation
Machine Learning
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≈ $173k – $327k per year (Estimated) • In office • Full-Time • 6+ years exp • San Francisco
Python
JAX
PyTorch
Ray
Multi-Agent Systems
Machine Learning
DevOps
SLURM
Kubernetes
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≈ $173k – $327k per year (Estimated) • In office • Full-Time • 6+ years exp • San Francisco
Python
JAX
PyTorch
Ray
Multi-Agent Systems
Machine Learning
DevOps
SLURM
Kubernetes
Apply
≈ $185k – $350k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Francisco
RLHF
Reinforcement Learning
PyTorch
Synthetic Data
DPO
SFT
Post-training
Multi-Agent Systems
RLAIF
Reward Modeling
Machine Learning
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≈ $173k – $327k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Francisco
Function Calling
AI Agents
PyTorch
Multi-Agent Systems
Tool Use
Machine Learning
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≈ $162k – $307k per year (Estimated) • In office • Full-Time • 3+ years exp • San Francisco
Python
C++
CUDA Toolkit
Quantization
AI Agents
CUDA
Triton
NCCL
ROCm
Multi-Agent Systems
Machine Learning
Apply