Liquid AI · 1 day ago
Member of Technical Staff - Post Training, Applied
San Francisco
Full-time
Hybrid
Mid LevelLiquid AI is a company spun out of MIT CSAIL that builds AI systems optimized for performance on CPUs. They are seeking a technical owner for enterprise customer post-training engagements, responsible for translating customer requirements into workflows and ensuring model quality and customer outcomes.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Act as the technical owner for enterprise customer post-training engagements
Translate customer requirements into concrete post-training specifications and workflows
Design and execute data generation, filtering, and quality assessment processes
Run supervised fine-tuning, preference alignment, and reinforcement learning workflows
Design task-specific evaluations, interpret results, and feed learnings back into core post-training pipelines
Qualification
Required
Takes ownership: Owns post-training projects end-to-end, from customer requirements through delivery and evaluation
Thinks end-to-end: Can reason across data generation, training, alignment, and evaluation as a single system
Is pragmatic: Optimises for model quality and customer outcomes over publications or theory
Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed
Act as the technical owner for enterprise customer post-training engagements
Translate customer requirements into concrete post-training specifications and workflows
Design and execute data generation, filtering, and quality assessment processes
Run supervised fine-tuning, preference alignment, and reinforcement learning workflows
Design task-specific evaluations, interpret results, and feed learnings back into core post-training pipelines
Hands-on experience with data generation and evaluation for LLM post-training
Experience training or fine-tuning models using SFT, preference alignment, and/or RL
Strong intuition for data quality and evaluation design
Familiarity with alignment or RL techniques beyond basic supervised fine-tuning
Preferred
Experience contributing to shared or general-purpose post-training infrastructure
Prior exposure to customer-facing or applied ML delivery environments
Familiarity with alignment or RL techniques beyond basic supervised fine-tuning
Benefits
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year
Company
Liquid AI
Build efficient general-purpose AI at every scale.
Founded in 2023
51-200 employees
H1B Sponsorship
Liquid AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Growth StageTotal Funding
$293.1MKey Investors
AMD VenturesOSS Capital L.P.
2024-12-13Series A· $250M
2023-12-01Seed· $37.5M
2023-05-05Seed· $5.6M
Leadership Team
Ramin Hasani
Co-founder and CEO
Mathias Lechner
Co-founder and CTO
Recent News
2025-12-06
Digital Commerce 360
2025-11-15
Company data provided by crunchbase