Senior Software Engineer - Applied AI at Geomagical Labs

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Senior Software Engineer - Applied AI at Geomagical Labs. Geomagical Labs is crafting three-dimensional, AI-powered experiences for tens of millions of users around the world. In partnership with IKEA, our pioneering apps allow customers to scan photorealistic models of their indoor spaces, and interactively reimagine them with new furniture in life-like 3D.. About the role. We have an opening for a Senior Software Engineer, with strong Python engineering skills, an analytical mindset, and a strong collaborative behavior – to join our Applied Research team. Responsibilities include researching, designing, coding, testing, and shipping Applied AI solutions.  This position could be an opportunity to become an expert practitioner in the fast-moving field of AI.. You will be expected to be a thoughtful, pragmatic, can-do technologist, and also a great collaborator & teammate.  Successful candidates will need these attributes:. . Entrepreneurial – Strong drive, growth mindset, lives . Geomagical cultural values. .. . Analytical & data driven – Generates analyses & data to assess results.. . Great teammate – Positive collaborator, brings out best outcomes from others.. . Strategic – Sees the big picture, and creatively maps out solutions. . . Reliable operator – In the details, good planner.. . Fast learner – Curious & constantly learning.  Not ashamed to ask questions/admit errors.. . Core responsibilities of the role include:. Applied research --- Be a core team member of the Applied Research team – applying state-of-the-art technologies to our products (e.g. neural network integration & deployment).. . Improve automated furnishing --- Improve today’s auto-furnishing algorithms (results and performance), and lead new developments in home furnishing assistance (e.g. LLM integration).. . Tooling & MLOps --- Develop ML tooling to enhance the productivity and software quality of the research team.. . POC development & evaluation--- Rapidly harness state-of-the-art ML models & algorithms, and convert them into meaningful proofs-of-concept (POCs) for study and evaluation.. . Productionization --- Further develop promising POCs into robust, production-grade solutions for deployment at scale.. . Drive engineering best practices --- Help and coach our Applied Research teams to be more effective & efficient through better software engineering.. . . Strong expertise in Python.. . Experience building resilient, low-latency, systems & pipelines.. . Highly effective, high-EQ communication skills (verbal & written).. . BONUS: Experience with 3D graphics.. . BONUS: Experience training neural networks.. . BONUS: Experience with classical computer vision algorithms.. . Company Location: United States.