ML Data Engineer

Moonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.
Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, Microsoft, Snap, and Meta 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 top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far, we’ve raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures, and YCombinator – and we’re just getting started.

Role Summary:
We're looking for an ML Data Engineer to build the data pipelines driving our next-generation generative video models. This role is central to our mission of training models exclusively on clean, high-quality data.
You'll develop data ingestion pipelines, captioning systems, and high-throughput, distributed architectures for large-scale data processing and curation. You’ll be responsible for solving some of the toughest challenges in data quality and model performance — from training and shipping quality scoring models to analyzing large-scale datasets and uncovering new challenges.

What you’ll do:
Design and implement systems for data ingestion, deduplication, validation, filtering, labelling, and quality scoring.
Fine-tune and build ML models from scratch and take them from training to production.
Identify and address dataset/model biases — including creating additional scoring systems to mitigate them.
Implement observability and telemetry across the ML data lifecycle.
Collaborate with infrastructure teams to develop efficient data pipelines that support large-scale video model training across thousands of GPUs.
Work in a fast-moving environment with many known and unknown challenges to tackle.

What we’re looking for:
Strong hands-on experience in ML engineering, including training and optimizing models (e.g., classifiers, segmentation, quality scoring), with a focus on image, video, or audio modalities.
Deep experience in building and scaling data infrastructure for large-scale ML systems, ideally for video or multi-modal models.
Experience managing large-scale datasets and pipelines in production.
Fluency with Python, Spark, Airflow, or similar frameworks.
Understanding of modern cloud infrastructure: Kubernetes, Terraform, S3/GCS, distributed compute.
Comfortable operating in environments with ambiguity and evolving priorities.
Nice to Haves:
Experience working on foundational model training pipelines (image, video, or language).
Experience with video-specific data challenges like frame sampling, codec variability, temporal alignment, and perceptual quality scoring.
In our team, we approach our work with Olympic-level dedication. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we communicate this openly.
If you're motivated by deeply technical problems, a challenging environment, and building a generational technology company, we can offer you an exciting opportunity.
All business roles at Moonvalley are hybrid by default, with some fully remote options depending on the scope. We meet a few times a year, usually in London, UK, or North America (LA, Toronto).
If you're excited about working on cutting-edge AI technology and shaping the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!
The statements in this job description reflect general details necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility. It is not an all-inclusive list of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or balance organizational work.
Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.
We will treat your information with the utmost care, use it solely for recruitment purposes, and never sell it. Please review our privacy policy and job applicant privacy policy

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