Generalist
generalist.com
Actively hiring
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News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
The people, companies, and technologies shaping the future. Click to read The Generalist, by Mario Gabriele, a Substack publication with hundreds of thousands of subscribers.
News
GEN-1.5: Embodied Foundation Models are One-Shot Learners
GEN-1.5 can in-context learn a new task from as little as 3 to 12 seconds of demonstration data - or adapt with 1 to 10 gradient steps on minutes of data. These capabilities emerge from pretraining on large-scale physical experience.
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Generalist AI GEN-1.5: Robots Learn From a Single Demo
Generalist AI GEN-1.5 learns new physical tasks in seconds from a single demonstration, no fine-tuning required.
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Generalist AI's GEN-1.5 robot model learns tasks from one demo
The GEN-1.5 robot model from Generalist AI learns new physical tasks from one demo, without gradient updates.
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I Saw the Future of AI in a Robot That Can Learn on the Spot
During a recent visit to Generalist AI, I watched a robotic arm improvise and use a banana as a tool.
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38x in Ten Months: Inside One of Fintech's Fastest-Growing Infrastructure Companies (Farooq Malik, CEO of Rain)
"Money, quantifiable, is larger than AI, it's larger than food, it's larger than oil and gas, it's larger than municipal water supplies. It's larger than government spending. It's larger than defense. It's all of these combined." -Farooq Malik, CEO of Rai
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Technologies
Tech DNA
Python
C++
Rust
FastAPI
CUDA
PyTorch
PostgreSQL
AWS
ChatGPT
Gemini
GPT-4
AI/ML
Python
C++
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
Kubernetes
AWS
CUDA
CUDA Toolkit
NumPy
Fine-tuning
Knowledge Distillation
Reinforcement Learning
RLHF
Synthetic Data
Diffusion Models
PyTorch
NVLink
Post-training
SLURM
Terraform
PostgreSQL
Robotics
Rust
ROS
ROS2
Imitation Learning
Reinforcement Learning
Other
TypeScript
FastAPI
SolidWorks
Stack modernity
85/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
ChatGPT
10 jobs
Required
$350k
+94% vs market
Multimodal AI
10 jobs
Required
$350k
+25% vs market
Gemini
10 jobs
Required
$350k
+94% vs market
OpenAI
10 jobs
Required
$350k
+40% vs market
GPT-4
10 jobs
Required
$350k
+55% vs market
Python
5 jobs
Required
$350k
+94% vs market
Kubernetes
3 jobs
Required
$350k
+94% vs market
AWS
2 jobs
Required
$350k
+89% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
Post-training
Aug 2026
OpenAI
Aug 2026
NVLink
Aug 2026
GPT-4
Aug 2026
PyTorch
Aug 2026
Diffusion Models
Aug 2026
Synthetic Data
Aug 2026
RLHF
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
Bosch
Clera
Jobgether
42dot
Zoox
Salary insights
Compensation ranges based on this company's open jobs
Median
$350k
Typical range
$350k
Open positions
8
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $350k | $350k |
Highest paying role
Software Engineer: Product
$350k
Normalized to USD per year
Growth
Hiring Momentum
56/100
Growing
Open positions
10
0 opened / 0 closed in 30 days
Median time-to-fill
202 days
faster than 6% of the market
ATS activity
Every ~7 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% ▲
Hardware
33% ▲
Robotics
33% ▲
Activity Timeline
New location: Boston
Aug 2026
Added Post-training to stack
Aug 2026
Added OpenAI to stack
Aug 2026
Added NVLink to stack
Aug 2026
Added GPT-4 to stack
Aug 2026
Added PyTorch to stack
Aug 2026
Added Diffusion Models to stack
Aug 2026
Added Synthetic Data to stack
Aug 2026
Added RLHF to stack
Aug 2026
Added Reinforcement Learning to stack
Aug 2026
Added Reinforcement Learning to stack
Aug 2026
Added Knowledge Distillation to stack
Aug 2026
Jobs
$240k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Fine-tuning
Gemini
GPT-4
Knowledge Distillation
Multimodal AI
OpenAI
Post-training
Reinforcement Learning
RLHF
Synthetic Data
Robotics
Imitation Learning
Reinforcement Learning
Apply
≈ $133k – $214k per year (Estimated) • In office • Full-Time • 10+ years exp • Boston
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
Design
SolidWorks
Apply
$200k – $350k per year • In office • Full-Time • 5+ years exp • San Francisco
C++
Rust
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
Apply
$240k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Diffusion Models
Gemini
Multimodal AI
PyTorch
GPT-4
OpenAI
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
C++
Python
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
Robotics
ROS
ROS2
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
Python
ChatGPT
CUDA
CUDA Toolkit
Gemini
Multimodal AI
NumPy
GPT-4
NVLink
OpenAI
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
DevOps
Kubernetes
SLURM
Apply
≈ $160k – $289k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
Python
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
DevOps
AWS
Kubernetes
Terraform
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
Python
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
DevOps
Kubernetes
Apply
$200k – $350k per year • In office • Full-Time • San Francisco
TypeScript
Python
FastAPI
Databases
PostgreSQL
AI/ML
ChatGPT
Gemini
Multimodal AI
GPT-4
OpenAI
DevOps
AWS
Apply