Distyl

Distyl
Workflow automation
Data Analytics
Business Intelligence
Data Visualization
Cloud Computing
Open roles at Distyl
0 open roles
No open positions at this time
Products and services
AI
AI-Powered Data Analytics Platform
Data Analytics
DI
Distyl NeuralDB
Database Technology
DO
Document Intelligence Platform
Document Processing
BU
Business Intelligence Dashboards
Business Intelligence
MA
Machine Learning Model Development
AI/ML Services
DA
Data Consulting
Consulting
DA
Data Integration Solutions
Data Integration
PR
Predictive Analytics Services
Predictive Analytics
DA
Data Integration APIs
API Services
EN
Enterprise Analytics Suite
Analytics
AI
AI Consulting Services
Professional Services
CL
Cloud Data Warehouse
Cloud Storage
Similar companies

Databricks
San Francisco-based software company
San Francisco, California, USA
5,001-10,000 employees
Private
Valuation $43B
834 open jobs

IQVIA
Focused on health information technology and clinical research.
Durham, North Carolina
10,001+ employees
Public
Valuation $17B
3,044 open jobs

Collibra
category:Data Analytics
New York, NY
1,001-5,000 employees
Private
Valuation $5.25B
41 open jobs

dbt Labs
Analytics engineering and data transformation platform
San Jose, California
201-500 employees
Private
Valuation $4.2B
9 open jobs

Periodic Labs
ChatGPT for material science
Menlo Park, California
201-500 employees
Private
Valuation 1.0B
20 open jobs
Latest updates
All
X
News
HN
YouTube
US appeals court declares 158-year-old home distilling ban unconstitutional
HN
Β·
3 months ago
Β·
460
Β·
338
US appeals court declares 158-year-old home distilling ban unconstitutional
HN
Β·
3 months ago
Β·
246
Β·
316
Embarrassingly simple self-distillation improves code generation
HN
Β·
3 months ago
Β·
658
Β·
201
Frontend Product Engineer, AI Applications - Distyl AI | San Francisco or New York (hybrid) | $150Kβ$250K salary
Β·
3 months ago
Β·
1
Β·
1
Fine-tuning gets dismissed too quickly for structured output tasks in LLM applications
The default advice in most LLM communities is RAG first, fine-tuning only if RAG isn't working. I think that framing causes people to underuse fine-tuning for a specific category of problem where it clearly wins. Structured output tasks are one of them. If your application generates SQL, produces clinical documentation in a specific format, or requires consistent adherence to complex output schemas, fine-tuning embeds those constraints directly into model behavior. RAG can retrieve the right co
Β·
3 months ago
Β·
9
Β·
14
Show 15 more
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
Reviews
3.3
10 reviews
Work-life balance
2.5
Compensation
2.8
Culture
3.2
Career
3.0
Management
3.8
45%
Recommend to a friend
Pros
Supportive and approachable management
Great team culture and colleagues
Good learning and growth opportunities
Cons
Heavy workload and frequent overtime
High expectations and stressful environment
Below industry standard salary
Salary Ranges
2 data points
Senior
Senior/L5
Senior
1 reports
$182,500
total per year
Base
$170,000
Stock
-
$144,500
$195,000
Interview experience
3 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Research Presentation
5
Panel Interview
6
Offer