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Eventual

daft.ai
daft.ai • San Francisco • 11-50 employees
San Francisco • 11-50 employees
Actively hiring
Artificial Intelligence
Data & Analytics
Data Engineering
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Overview

Daft is a high-performance data engine for AI workloads. Process any modality at any scale with Python DataFrames and SQL — from your laptop to petabyte-scale distributed clusters.

Technologies

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Tech DNA
C++
Rust
Python
Ray
Hadoop
Pinecone
Snowflake
Apache Iceberg
AWS
Together AI
Azure
LLM
AI/ML
C++
Python
Databricks
Pinecone
Snowflake
AWS
Multimodal AI
Perplexity
Ray
Together AI
Embeddings
Knowledge Distillation
Apache Iceberg
Delta Lake
Google BigQuery
PostgreSQL
Azure
GCP
Amazon S3
GitHub
HPC
Copilot
Hadoop
Spark
LLM
Other
Rust
Stack modernity Cutting-edge AI adopter
78/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Snowflake 1 job Required
Databricks 1 job Required
Pinecone 1 job Required
Embeddings 1 job Required
Multimodal AI 1 job Required
Knowledge Distillation 1 job Required
AWS 1 job Required
Perplexity 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
21%
AWS
16%
LLM
13%
GCP
12%
Azure
12%
PostgreSQL
11%
Share of companies in the same industry that use each technology.
Stack changes
HPC Aug 2026
GitHub Aug 2026
Amazon S3 Aug 2026
Knowledge Distillation Jul 2026
Embeddings Jul 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Similar stack
Jobgether 27 shared technologies Booz Allen Hamilton 26 shared technologies State Street 25 shared technologies Snowflake 25 shared technologies Accenture 25 shared technologies Adobe 25 shared technologies

Growth

Hiring Momentum
49/100
Stable
Open positions
1
0 opened / 0 closed in 30 days
Median time-to-fill
91 days
faster than 18% of the market
ATS activity
Every ~3 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
100% ▲
Activity Timeline
Added Knowledge Distillation to stack Jul 2026
Added Embeddings to stack Jul 2026

Jobs

Research Engineer, Multimodal Data

 Verified live · 1 hour ago 5 days ago
≈ $155k – $339k per year (Estimated) • In office • Full-Time • San Francisco
Databricks
Pinecone
Snowflake
AI/ML
Embeddings
Knowledge Distillation
Multimodal AI
Perplexity
Ray
Together AI
DevOps
AWS
Apply