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!
The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise 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.
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