Software Engineer, ML Infra

San Francisco · Engineering · Full-time

About Unit

Unit is an AI video company. We're building GTV, a platform that combines creativity and automation to deliver next-generation video content. Our team includes senior people from Instagram, TikTok, and NVIDIA. We're based in San Francisco and backed by Khosla Ventures, Air Street Capital, and leaders in AI.

Role Overview

We're looking for an experienced ML Infra Software Engineer to join the GTV team. You'll work closely with researchers and engineers to build our core ML systems, including training and serving generative models, orchestrating real-time data pipelines, enabling reinforcement learning at scale, and more.

Responsibilities

• Design and develop scalable ML systems that power the creative engine behind GTV
• Partner with researchers and engineers to turn new model/product ideas into production-ready workflows
• Build robust pipelines for real-time data collection, labeling, and feedback
• Drive reliability and efficiency of distributed systems with automated testing, performance benchmarking, and end-to-end observability

Requirements

• 5+ years of software engineering experience and proficiency in Python
• Industry experience designing and operating large-scale distributed systems for ML training and serving
• Deep understanding of multi-node training, reinforcement learning, large-scale data processing, and real-time feedback loops
• Proven ability to debug complex systems, navigate ambiguity, and take ownership of challenging problems
• Excellent communication and collaboration with cross-functional teams (research, engineering, and design)

Nice to Have

• Prior work experience at early-stage or high-growth startups
• Familiarity with video generation, evaluation, and labeling
• Background in generative AI and infra for consumer-facing products

Compensation

• $225K–$275K base salary
• Competitive equity grant
• Top-tier benefits (medical, dental, and vision)
• Daily dinner stipend
• Relocation support