San Francisco | 5 Days Onsite
Location: Onsite in San Francisco
Compensation: Competitive Salary + Equity
About the RoleUniversalAGI is hiring a ML Platform Engineer to build and own the execution platform powering our research and customer deployments: data generation + simulation orchestration + training/fine-tuning infrastructure + benchmarking pipelines + production deployments in customer environments.
You'll work closely with the CEO and founding team to turn research into repeatable, scalable, reliable systems - internally and in customer infrastructure. This is a "ship outcomes" role: your work directly determines how fast we can iterate, how reproducible our results are, and how reliably we deliver in production.
What You'll DoBuild the foundation platform (internal):
- Build and operate scalable infrastructure for data generation and simulation workflows (job orchestration, scheduling, queues, retries, observability).
- Build reproducible pipelines for training/fine-tuning and benchmarking (artifact/version management, experiment tracking, dataset lineage).
- Own cost/performance tradeoffs across compute, storage, networking, and runtime efficiency.
Deploy to customers (external):
- Lead deployments of our stack into customer cloud/on-prem environments (AWS/GCP/Azure + hybrid), including secure networking, permissions, and data movement.
- Build robust deployment patterns: environment provisioning, CI/CD, rollbacks, monitoring, and incident response.
- Partner with customers to ensure reliability and repeatability under real-world constraints (security, compliance, infra limits, data governance).
Qualifications- Strong software engineering skills (clean code, debugging, reliability, reproducibility).
- Hands-on experience building/operating infrastructure for ML/compute-heavy workflows: pipelines, job orchestration, GPU compute, storage, CI/CD, monitoring.
- Olympic athlete mindset: You have high standards for yourself and are obsessed with measurable improvement on the metrics you are delivering to customers.
- Resourcefulness: you know when to do the "quick & correct" fix vs. when to invest in a robust solution, and you can justify the tradeoff with impact/
- Ownership: Comfortable owning work end-to-end and being accountable for measurable outcomes.
Bonus Qualifications- Experience with workflow orchestration (e.g., Ray, Kubernetes, Slurm).
- Experience with GPU infrastructure and distributed training systems.
- Experience building evaluation/benchmarking frameworks with strong reproducibility guarantees.
- Experience deploying into regulated / security-sensitive environments (gov/defense/enterprise).
- Experience with simulation/HPC pipelines (CFD, meshing, batch workloads) is a plus but not required.
- Experience in an FDE-style / delivery execution role (or similar "ship results fast" environments).
Cultural Fit- Technical Respect: Ability to earn respect through hands-on technical contribution
- Intensity: Thrives in our unusually intense culture - willing to grind when needed
- Customer Obsession: Passionate about solving real customer problems, not just cool tech
- Deep Work: Values long, uninterrupted periods of focused work over meetings
- High Availability: Ready to be deeply involved whenever critical issues arise
- Communication: Can translate complex technical concepts to customers and team
- Growth Mindset: Embraces the compounding returns of intelligence and continuous learning
- Startup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats
- Work Ethic: Willing to put in the extra hours when needed to hit critical milestones
- Team Player: Collaborative approach with low ego and high accountability
What We Offer- Opportunity to shape the technical foundation of a rapidly growing foundational AI company.
- Work on cutting-edge industrial AI problems with immediate real-world impact.
- Direct collaboration with the founder & CEO and ability to influence company strategy
- Competitive compensation with significant equity upside.
- In-person first culture - 5 days a week in office with a team that values face-to-face collaboration.
- Access to world-class investors and advisors in the AI space.
BenefitsWe provide great benefits, including:
- Competitive compensation and equity.
- Competitive health, dental, vision benefits paid by the company.
- 401(k) plan offering.
- Flexible vacation.
- Team Building & Fun Activities.
- Great scope, ownership and impact.
- AI tools stipend.
- Monthly commute stipend.
- Monthly wellness / fitness stipend.
- Daily office lunch & dinner covered by the company.
- Immigration support.
