Staff Machine Learning Engineer

Staff/Principal Machine Learning Engineer$200,000 + EquityRemote (Must be in the US)THE COMPANYHarnham is currently partnered with a leading AI technology company that promotes equal access to data so that companies can have a chance to compete against significant data users (such as Apple/Amazon/Google). They streamline communication pathways and aid teams in handling substantial amounts of data. With his technology, they are empowering individuals to accomplish tasks that’s would usually be outside of their capabilities and enhance their decision-making processes.THE ROLE• Work alongside data science and engineering teams to deploy and scale models and algorithms• Produce and put complex machine learning models into production ; end-to-end deployment is necessary• Engineer adaptable data pipelines to maintain structured and unstructured data• Maintain existing data sets that hold large amounts of information, rethink how they can be applied in different scenarios• Be a successful individual contributor; work technically hands-on with all machine learning model building, deployment and infrastructureYOUR SKILLS AND EXPERIENCE• Able to successfully understand machine learning modeling and infrastructure technologies• Experience working with recommendation engines and how they work in production• LLM / RAG proficiency with emerging technologies in this space• Previous experience in hyper-growth start-ups or big tech environments is ideal (FAANG Experience is a plus)• Infrastructure engineering and data science experience preferredBENEFITSAs a Staff/Principal Machine Learning Engineer, you can expect to earn around $200,000 (depending on experience) and highly competitive benefits including equity.HOW TO APPLYPlease register your interest by sending your Resume to Grace McCarthy via the Apply link on this pageKEYWORDSMachine Learning | Infrastructure | AI | Python | SQL | Azure | Deep Learning | Pytorch | Tensorflow