Shape the Future of AI Data Infrastructure
Join a team of world-class engineers, researchers, and data scientists building the foundation for the next generation of AI systems. At Vectorial Data, your work will power breakthroughs in artificial intelligence across industries.
Our Culture & Values
We're building more than just technology – we're creating a culture where brilliant minds collaborate to solve the hardest problems in AI.
Innovation First
We push the boundaries of what's possible with AI and data, challenging conventional approaches.
Radical Transparency
Open communication and honest feedback drive our continuous improvement.
Impact Driven
Every project we undertake must create meaningful value for our clients and society.
Continuous Learning
In the rapidly evolving AI landscape, we stay ahead through constant learning and adaptation.
Benefits & Perks
We invest in our team's success and well-being with comprehensive benefits designed for the modern workforce.
Competitive Compensation
Top-tier salaries and equity packages that reflect your impact
Health & Wellness
Comprehensive health, dental, and vision coverage for you and your family
Remote-First Culture
Work from anywhere with flexible hours and quarterly team gatherings
Learning & Growth
$5,000 annual budget for conferences, courses, and professional development
Top-Tier Equipment
Latest MacBook Pro or equivalent, monitors, and ergonomic setup
Generous Time Off
Unlimited PTO policy, sabbaticals, and company-wide recharge days
Open Positions
Ready to make an impact? Explore our current openings and find your next challenge.
Senior AI Engineer
Lead the development of cutting-edge AI systems for data preparation and synthetic data generation. Work with LLMs, vector databases, and distributed computing systems.
Key Requirements:
- 5+ years of experience in ML/AI engineering
- Strong expertise in PyTorch or TensorFlow
- Experience with LLMs and transformer architectures
- Proficiency in distributed systems and cloud platforms
Data Scientist - LLM Specialist
Research and implement novel approaches to data curation, fine-tuning, and evaluation for large language models. Drive innovation in synthetic data generation.
Key Requirements:
- PhD or MS in Computer Science, ML, or related field
- Published research in NLP or LLMs
- Experience with data quality assessment at scale
- Strong Python and statistical analysis skills
Platform Engineer
Build and scale the infrastructure that powers our data processing pipelines. Design systems that handle petabytes of data with high reliability and performance.
Key Requirements:
- 4+ years of platform/infrastructure engineering
- Expertise in Kubernetes, Docker, and cloud platforms
- Experience with data streaming and processing frameworks
- Strong background in system design and optimization
Our Hiring Process
A streamlined process designed to identify exceptional talent while respecting your time
Application Review
We carefully review every application and respond within 48 hours
Initial Call
30-minute conversation to discuss your background and aspirations
Technical Deep Dive
Real-world problem solving aligned with your expertise
Team Sync
Meet your future teammates and explore cultural alignment
Average time to offer
Offer acceptance rate
Candidate experience