Applied Machine Learning Engineer

Mav Farm is a technology company headquartered in Los Angeles, California with a remote and distributed team, that designs and develops enterprise and consumer media, commerce, and financial software and services. We provide tools for artists, creators, app developers, and businesses to collaborate with one another to captivate audiences and human-machines in creative, engaging, and unobtrusive ways - that is, sans advertising. These creators are building media companies, brands and retail companies, tech companies, and all of the above together with Mav Farm. Mav Farm considers itself part e-commerce platform, part entertainment app, part business tool, part financial solution, and part social network, meeting multifaceted creator and audience needs through distinct yet synergistic features.

Mav Farm was founded with the goal of a fully decentralized peer-to-peer art, media and trade network - that is, to provide artists, creators, organizations and businesses access to and complete control of the universal decentralized distribution of their art, media and commerce.

There are over 600k users watching and shopping from over 500 of their favorite creators, cultural influencers, and brands. Not only is Mav Farm helping creators and businesses earn more for their efforts, but is also helping their audiences find new people, brands, and stories to engage with in unique and uncompromising ways.

Mav Farm is looking for an experienced applied researcher in machine learning and AI with strong software engineering skills. The Applied Machine Learning Engineer is part of the Core AI organization. The team carries out applied research in ML/AI and designs, develops and deploys state of the art ML/AI algorithms to the rest of the Mav Farm ecosystem. The team has developed and optimized various algorithms including Neural Networks, Boosted Decision Trees, Sparse Linear Models, and Deep Learning for several ranking teams including Shop, Feed, Search, Channel Guide on Sho_w. and others.

Responsibilities

• Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
• Combine broad and deep knowledge of relevant research domains with the ability to synthesize a wide range of requirements to make significant contributions to the feature roadmap for the applied machine learning platform
• Apply expert coding skills to platform development projects in partnership with other engineers on ranking and infrastructure teams
• Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications

• 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Knowledge of machine learning and deep learning research
• Experience building systems based on machine learning and/or deep learning methods
• Knowledge developing and debugging in C/C++, Java, and/or Scala
• Experience with scripting languages such as Perl, Python, PHP, and shell scripts
• Experience with filesystems, server architectures, and distributed systems

Our employees, who have named themselves Mavericks and Farmers, are everything. Because of our ability to attract the most talented, intelligent, and creative technologists, scientists, artists, designers and business people across the world, Mav Farm naturally remains highly "unmanageable." In this unmanaged chaos, we have been delighted by the work that has been produced by these Mavericks and Farmers.

We have been lucky to recruit many creative, principled and hard working leaders and we hope to recruit many more in the future. We are a distributed collective of pioneers, a farm of mavericks, seeking both individual freedom and community. Mav Farm emphasizes creative exploration above everything else, which has helped us provide artists, creators, and businesses access to complete control over the universal distribution of their art, goods, and services.

Join us on our mission to free the universes' art!

Learn more about our about our hiring/interview process and a teaser about what it's like working at Mav Farm here.