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Technologies
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Overview
datologyai builds tools to automatically select the best data on which to train deep learning models. our tools leverage cutting-edge research-much of which we perform ourselves-to identify redundant, noisy, or otherwise harmful data points. the a...
Technologies
Tech DNA
Python
SQL
JavaScript
PyTorch
Ray
Dagster
Snowflake
AWS
Azure
GCP
LLM
VLM
AI/ML
Python
SQL
Scala
Synthetic Data
Multimodal AI
Snowflake
PyTorch
AWS
Azure
GCP
Kubernetes
Spark
Knowledge Distillation
Terraform
Dask
Ray
Fine-tuning
Chain-of-Thought
Dagster
Flink
Semantic Search
DPO
Post-training
Pre-training
SFT
CI/CD
CloudFormation
Pulumi
IAM
Amazon S3
LLM
Reinforcement Learning
VLM
Docker
Other
JavaScript
TypeScript
Java
React.js
Figma
Stack modernity
82/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Synthetic Data
11 jobs
Required
$300k
+7% vs market
Python
6 jobs
Required
$300k
+67% vs market
Snowflake
4 jobs
Required
$300k
+63% vs market
Multimodal AI
4 jobs
Required
$300k
+6% vs market
PyTorch
3 jobs
Required
$300k
+33% vs market
GCP
3 jobs
Required
$300k
+58% vs market
Azure
3 jobs
Required
$300k
+79% vs market
AWS
3 jobs
Required
$300k
+62% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
JavaScript
15%
CI/CD
15%
SQL
14%
Kubernetes
14%
Share of companies in the same industry that use each technology.
Stack changes
Amazon S3
Aug 2026
SFT
Aug 2026
Pre-training
Aug 2026
Post-training
Aug 2026
DPO
Aug 2026
Semantic Search
Aug 2026
IAM
Aug 2026
Figma
Aug 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
$300k
Typical range
$250k – $300k
Open positions
10
10
Jobs
Middle
70%
Senior
30%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 7 | $300k | $300k |
| Senior | 3 | $300k | $250k – $300k |
Highest paying role
Research Engineer
$300k
Normalized to USD per year
Growth
Hiring Momentum
68/100
Growing
Open positions
11
0 opened / 10 closed in 30 days
ATS activity
Every ~3 days
08/31/2026
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
67% ▼
Design
33% ▲
Activity Timeline
New location: San Mateo
Aug 2026
New location: Zurich
Aug 2026
Added Amazon S3 to stack
Aug 2026
Added SFT to stack
Aug 2026
Added Pre-training to stack
Aug 2026
Added Post-training to stack
Aug 2026
Added DPO to stack
Aug 2026
Added Semantic Search to stack
Aug 2026
Added IAM to stack
Aug 2026
Added Figma to stack
Aug 2026
Added Scala to stack
Aug 2026
Added Java to stack
Aug 2026
Jobs
$180k – $250k per year • In office • Full-Time • 5+ years exp • San Mateo
Synthetic Data
Design
Figma
Apply
≈ $189k – $404k per year (Estimated) • In office • Full-Time • San Mateo
Synthetic Data
Apply
$180k – $300k per year • In office • Full-Time • 3+ years exp • San Mateo
Python
Dask
Databases
Snowflake
AI/ML
Multimodal AI
PyTorch
Ray
Spark
Synthetic Data
Apply
$230k – $300k per year • In office • Full-Time • 5+ years exp • San Mateo
Python
SQL
Synthetic Data
DevOps
AWS
Azure
GCP
Kubernetes
IAM
Apply
$180k – $300k per year • In office • Full-Time • 3+ years exp • PhD • Zurich • San Mateo
Snowflake
AI/ML
Knowledge Distillation
Multimodal AI
PyTorch
Synthetic Data
Semantic Search
Apply
$215k – $300k per year • In office • Full-Time • 5+ years exp • San Mateo
Multimodal AI
Synthetic Data
Apply
$180k – $300k per year • In office • Full-Time • 4+ years exp • Redwood City
JavaScript
Python
TypeScript
Synthetic Data
Frontend
React.js
Apply
$180k – $300k per year • In office • Full-Time • 4+ years exp • Redwood City
Python
Synthetic Data
DevOps
AWS
Azure
CI/CD
CloudFormation
GCP
Kubernetes
Pulumi
Terraform
Apply
$180k – $300k per year • In office • Full-Time • 3+ years exp • PhD • San Mateo
Snowflake
AI/ML
Chain-of-Thought
Fine-tuning
Knowledge Distillation
Multimodal AI
PyTorch
Synthetic Data
DPO
Post-training
Pre-training
SFT
Apply
$180k – $300k per year • In office • Full-Time • 4+ years exp • Redwood City
Java
Python
Scala
SQL
Snowflake
AI/ML
Dagster
Flink
Spark
Synthetic Data
DevOps
Amazon S3
Apply
$180k – $300k per year • In office • Full-Time • 4+ years exp • Redwood City
Python
Synthetic Data
DevOps
AWS
Azure
GCP
Kubernetes
Terraform
Apply

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