Osmosis
osmosis.ai
Actively hiring
MLOps
Reinforcement Learning
Machine Learning
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Overview
Osmosis is a forward-deployed reinforcement learning platform that helps companies train task-specific AI models that outperform foundation models at a fraction of the cost. Build, deploy, and continuously improve intelligent systems with hands-on integration and real-time feedback.
News
DJI Osmo fans are breaking the shackles of its closed-source camera app
Osmosis, a free open-source app built by DJI watcher Konrad Iturbe, lets you wirelessly review, trim, and download DJI Osmo footage.
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Report
Best Reverse Osmosis Water Systems 2026 - Forbes Vetted
The best reverse osmosis systems reduce tap water contaminants for cleaner, great-tasting water. Our top picks include those from Cloud, Waterdrop and AquaTru.
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Report
Training Thousands of LoRA Adapters at Once
What if we could share the same base model between policies, and just fine-tune different LoRA adapters in a single batch? This is cleaner and solves scalability: we can keep one base model, route tokens to different LoRA adapters, and have the training/i
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Report
Unlocking LoRA MoE RL for Qwen3.5
In order to train large MoE models with RL, you need two systems: a training cluster and an inference cluster. Our stack pairs Megatron-LM with SGLang for this purpose. We wanted to share the process of how we added support for LoRA within our training st
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Report
Elsevier launches study companion Osmosis AI to transform how medical students learn
/PRNewswire/ -- Elsevier today launches Osmosis AI, the first medical study companion to combine AI-powered conversation with the visual learning of Osmosis...
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Technologies
Marketing
LinkedIn
Stack modernity
64/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
LinkedIn
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
LinkedIn
5%
Share of companies in the same industry that use each technology.
Stack changes
LinkedIn
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salary insights
Compensation ranges based on this company's open jobs
Median
$160k
Typical range
$120k – $250k
Open positions
3
2
Jobs
Junior
50%
Senior
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $160k | $160k |
| Senior | 1 | $250k | $250k |
Highest paying role
Panel Review Subject Matter Expert (SME)
$250k
Normalized to USD per year
Growth
Hiring Momentum
28/100
Slowing
Open positions
5
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
09/08/2026
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.
Communications
100% ▼