Member of Technical Staff: Machine Learning Engineer

What You’ll Do

• Translate cutting-edge research into production-ready machine learning systems
• Design, build, and deploy end-to-end ML models and pipelines
• Develop and optimize models for image and video processing
• Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
• Build low-latency, real-time inference systems and scalable ML infrastructure
• Rapidly prototype using open-source models and adapt them for product needs
• Conduct experiments, analyze results, and iterate to improve performance
• Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale
• Stay current with advancements in machine learning and apply them to continuously improve products

What We’re Looking For

Required Qualifications

• MS/PhD in Computer Science, Electrical Engineering, or related field
• Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)
• 5+ years of experience in Python and proficiency in Java, C++, or Scala
• Strong understanding of multi-threading and memory management
• Solid knowledge of ML architectures: CNNs, RNNs (LSTM/GRU), and Transformers
• Experience with PyTorch or TensorFlow
• Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications
• Experience handling large-scale data using tools like Spark
• Experience deploying ML models in cloud environments (AWS preferred)
• Experience with experiment tracking systems and ML workflows

Nice to Have

• Experience in low level optimisation, cuda etc.
• Experience productionizing and scaling ML models in real-world systems
• Contributions to open-source projects
• Experience with MLOps tools or distributed training systems
• Familiarity with relational databases (Postgres/MySQL)

What we offer (compensation & benefits)

• Competitive salary and equity
• Private health coverage
• Pension contribution (UK, Canada, US)
• 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!