368,746open jobs
9,444companies
47,506added this week
Browse all
Salary
$189k – $404k per year (Estimated)
Location
In office (San Mateo)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
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...

About the Company

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.

At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).

We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.

This role is based in Redwood City, CA. We are in office 4 days a week.

About the Role

In this role, you'll be our expert on social, the person who knows how to make DatologyAI's research travel on X and across the AI community. You'll turn our research into narratives, demos, threads, videos, and launches, build a voice on X that people recognize and trust, and take part in the conversation as it happens. You'll also help our founders and researchers communicate in their own voices.

The work sits where engineering meets media. You can read one of our results, understand why it matters, and build a demo or write a thread that a technical audience respects. You have a creator's instincts for hooks, video, distribution, and taste. And you're genuinely active in the AI community on X, replying, experimenting, and engaging, not just posting announcements.

You'll build the playbook as you operate it. We have real research worth talking about, credible founders, and an audience that's already here, and we're looking for someone who can meet them where they are and be trusted to run with it.

What You'll Work On

  • Technical storytelling and demos. Take our research and product work and turn it into narratives, threads, videos, live demos, and launches that a technical audience finds genuinely interesting.

  • Company voice on X. Build a recognizable, native voice for DatologyAI on X and run it day to day. Reply, quote-post, and participate in live conversations in real time.

  • Founder and researcher enablement. Help leadership and our research team show up in their own voices.

  • Research launches, end to end. Own the public launch of our research across X, the technical blog, and video: the angle, the assets, the sequencing, and the follow-through, so each result gets the attention it deserves.

  • Community and relationships. Build real relationships with researchers, open-source developers, AI creators, and technical founders.

  • Feedback loop into product and research. Bring what you learn in the community back to the team, so what we hear from developers and researchers informs what we build and what we say next.

  • Experiments and measurement. Run experiments across X, technical writing, video, launches, and events. Track what earns attention and trust from the right people, and use it to sharpen what we do next.

About You

  • Technical legitimacy. You can build and explain real AI systems. You can read a paper or a launch brief, understand it, comment on it accurately, and produce a demo or a technically serious thread from it.

  • X-native. You genuinely live on the platform. You post and reply frequently, participate in live conversations, and have a native tone. We care far more about your reply and quote-post behavior and your taste than your follower count.

  • Creator instincts. You understand hooks, compression, video, personality, and distribution. You have a recognizable voice and a feel for what makes people stop scrolling and engage.

  • Ambient participant, not a broadcaster. You interact, experiment, and joke in the conversation rather than only publishing polished company announcements.

  • Able to write in other voices. You can help a founder or researcher sound like themselves, credibly, without flattening what makes them distinctive.

  • Self-starter with a bias toward action. You take an objective, build the approach, and run with it.

  • Startup-ready. Comfortable building the playbook as you operate it, moving fast, and owning outcomes end to end.

Nice to Have

  • Your own audience on X, or a track record of building one, with side projects or demos that have circulated organically

  • Experience at an AI model or infrastructure company, or in developer relations, developer marketing, or growth engineering

  • A body of technical content spanning agents, inference, multimodality, coding workflows, or similar

  • Comfort in front of a camera and the ability to produce short technical video

Don't meet every single requirement? We still encourage you to apply. If you're excited about our mission and eager to learn, we want to hear from you!

Compensation

At DatologyAI, we are dedicated to rewarding talent with a highly competitive salary and significant equity. The base salary range for this position is 160,000 - $230,000.

  • The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

Benefits:

  • 100% covered health benefits (medical, vision, and dental).

  • 401(k) plan with a generous 4% company match.

  • Unlimited PTO policy

  • Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.

  • Annual $2,000 wellness stipend.

  • Annual $1,000 learning and development stipend.

  • Daily lunches and snacks are provided in our office!

  • Relocation assistance for employees moving to the Bay Area.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,746 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Mateo
$147k – $199k per year • In office • Full-Time • 10+ years exp • Chantilly
Java
Databases
Db2
AI/ML
Synthetic Data
DevOps
CI/CD
Shift-Left
GitHub
Cybersecurity
Shift-Left Security
Management
Jira
QA
Cypress
Playwright
Apply
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$150k – $291k per year (Estimated) • In office • Full-Time • 6+ years exp • Master's Degree • Sunnyvale
Python
SQL
AI/ML
Anomaly Detection
Computer Vision
DVC
MLFlow
Multimodal AI
Spark
Synthetic Data
Weights & Biases
Time Series Forecasting
DevOps
Docker
Kubernetes
Cybersecurity
HIPAA
Apply
$183k – $316k per year (Estimated) • Remote/Hybrid • 7+ years exp • Bachelor's Degree • Sunnyvale
C++
Python
C++
PyTorch C++
TensorFlow C++
AI/ML
Anomaly Detection
Claude
CNN
Computer Vision
Gemini
Knowledge Distillation
LLM
NLP
ONNX
PyTorch
Quantization
Scikit-learn
Statsmodels
Synthetic Data
TensorFlow
TensorRT
TFLite
Transformers
Edge AI
OpenAI
Time Series Forecasting
DevOps
Vector
IoT
MQTT
Apply
Product Designer 27 days ago
$180k – $250k per year • In office • Full-Time • 5+ years exp • San Mateo
AI/ML
Synthetic Data
Design
Figma
Apply
Research Engineer 3 months ago
$180k – $300k per year • In office • Full-Time • 3+ years exp • San Mateo
Python
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
AI/ML
Synthetic Data
DevOps
AWS
Azure
GCP
Kubernetes
IAM
Apply
Research Scientist 5 months ago
$180k – $300k per year • In office • Full-Time • 3+ years exp • PhD • Zurich • San Mateo
Databases
Snowflake
AI/ML
Knowledge Distillation
Multimodal AI
PyTorch
Synthetic Data
Semantic Search
Apply
Product Manager 5 months ago
$215k – $300k per year • In office • Full-Time • 5+ years exp • San Mateo
AI/ML
Multimodal AI
Synthetic Data
Apply
$151k – $272k per year (Estimated) • Equity • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • San Mateo
AI/ML
Time Series Forecasting
Apply
$235k per year • Remote/Hybrid • 2+ years exp • Master's Degree • San Mateo
Python
SQL
DevOps
Git
Analytics
A/B Testing
Apply
$216k – $388k per year (Estimated) • Equity • In office • Full-Time • San Mateo
AI/ML
AI Agents
Semantic Search
Apply
$192k – $346k per year (Estimated) • Equity • In office • Full-Time • 6+ years exp • San Mateo
Go
JavaScript
Node JS
Python
Ruby
AI/ML
AI Agents
Cybersecurity
FedRAMP
Apply
$280k – $420k per year • In office • Full-Time • San Mateo
Go
Python
AI/ML
Hugging Face
PyTorch
Ray
Reinforcement Learning
Transformers
DevOps
Grafana
Helm
Kubernetes
OpenTelemetry
Platform Engineering
Prometheus
SLURM
Terraform
Robotics
Reinforcement Learning
Apply
See all jobs
This is one of many
368,746 more open roles from verified company boards, updated every day.