Machine Learning Engineer - Remote Eligible

Machine Learning Engineer

Moonvalley's mission is to solve Visual Intelligence in the age of generative AI. We are building technology that can tell stories, scale creativity, and understand both the physics and semantics of the world. With Marey, our first high-definition foundation model trained exclusively on licensed data, we are powering the next era of cinematic, commercial, and enterprise-grade creation.

Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from Deepmind, Google, Microsoft, Meta & Snap, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $100M+ from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started.

We're looking for a Machine Learning Engineer to design and scale the infrastructure powering our generative video and visual models, particularly for our latest product verv.fm. This role combines deep ML engineering expertise with hands-on experience in modern generative systems like Stable Diffusion, Comfy, and Flux.

You'll build data ingestion pipelines, develop visual preprocessing workflows, and fine-tune generative models with production-level reliability. You'll also help drive prompt-aware systems and intelligent feedback loops that elevate both the quality and control of our media generation stack.

What you'll do:

• Design and implement data workflows for ingestion, cleaning, validation, filtering, and quality scoring
• Fine-tune and deploy generative models like Stable Diffusion and Flux Loras and build large-scale workflows using tools such as Comfy
• Experience training and working with video models like WAN, VACE, etc
• Integrate computer vision techniques (segmentation, mask ops, object tracking) into generation pipelines
• Build high-throughput pipelines for frame extraction, captioning, and visual data processing at scale
• Develop and experiment with context- and prompt-aware model orchestration strategies
• Contribute to observability and monitoring across the ML data lifecycle
• Collaborate with infra teams to scale across GPU-backed infrastructure and serverless environments
• Work across a fast-paced, evolving product environment with creative and technical inputs
• (Bonus) Explore self-supervising or agentic workflows for automated pipeline feedback and improvement

What we're looking for:

• Strong experience in ML engineering with a focus on computer vision, generative media, or multimodal systems
• Hands-on experience fine-tuning or deploying generative models (e.g., SD, Flux, Comfy)
• Proficiency in Python and asynchronous API development
• Familiarity with image/video-specific challenges: frame alignment, codec handling, perceptual quality scoring
• Experience with scalable data systems using tools like Airflow, Spark, or Ray
• Solid understanding of GPU infrastructure and model deployment best practices
• Knowledge of prompt engineering and context-driven model behavior
• Comfortable working in ambiguity and bridging infrastructure and modeling challenges
• Bonus: Experience with foundation model training pipelines or agentic systems
• Availability for at least 4 hours of overlap with US Eastern Time

What we offer (compensation & benefits):

• Competitive salary and equity
• Private health coverage
• Pension contribution (UK, Canada, US)
• Unlimited paid vacation
• Fully-distributed, async-first culture
• Hardware setup of your choice
• Stipends for phone, internet, and meals

In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.

If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.

All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.

If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!