Source description
About the role
Company Description GrowVest is an innovative real estate investment platform designed for accredited investors seeking access to income-generating rental properties without the complexities of direct ownership. With investment opportunities starting under $1,000, GrowVest offers institutional-quality real estate deals, full transparency into property performance, and detailed cash flow and portfolio activity reporting. Operating under SEC Regulation D, 506(c), GrowVest ensures compliance while enabling verified investors to explore premier offerings. Currently in its early access phase, GrowVest is powered by a passionate team of real estate experts, operators, and technologists committed to creating a transparent and accessible path to passive real estate investing. This is a full-time, on-site role based in San Francisco , CA, for a Generative AI Engineer. The primary responsibilities include designing, building, and optimizing generative AI models and systems. The role involves conducting research to develop cutting-edge machine learning innovations, collaborating with cross-functional teams to implement AI features, and deploying scalable AI solutions. Additionally, supporting the integration of generative AI into GrowVests platform and overseeing performance tuning and troubleshooting processes are core aspects of this position. Proficiency in developing and training Generative AI models, such as GPT, GAN, or VAEs Strong skills in Python, TensorFlow, PyTorch, or other machine learning frameworks Experience with natural language processing (NLP) and computer vision technologies Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI deployment Strong understanding of data pipelines, handling datasets, and pre-processing techniques Excellent problem-solving skills and ability to innovate in developing scalable AI solutions Masters degree or equivalent work experience in Computer Science, Artificial Intelligence, or a related technical field Experience in finance, real estate, or investment platforms (preferred) Commitment to developing secure, transparent, and ethical AI applications Company Description GrowVest is an innovative real estate investment platform designed for accredited investors seeking access to income-generating rental properties without the complexities of direct ownership. With investment opportunities starting under $1,000, GrowVest offers institutional-quality real estate deals, full transparency into property performance, and detailed cash flow and portfolio activity reporting. Operating under SEC Regulation D, 506(c), GrowVest ensures compliance while enabling verified investors to explore premier offerings. Currently in its early access phase, GrowVest is powered by a passionate team of real estate experts, operators, and technologists committed to creating a transparent and accessible path to passive real estate investing. This is a full-time, on-site role based in San Francisco , CA, for a Generative AI Engineer. The primary responsibilities include designing, building, and optimizing generative AI models and systems. The role involves conducting research to develop cutting-edge machine learning innovations, collaborating with cross-functional teams to implement AI features, and deploying scalable AI solutions. Additionally, supporting the integration of generative AI into GrowVests platform and overseeing performance tuning and troubleshooting processes are core aspects of this position. Proficiency in developing and training Generative AI models, such as GPT, GAN, or VAEs Strong skills in Python, TensorFlow, PyTorch, or other machine learning frameworks Experience with natural language processing (NLP) and computer vision technologies Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI deployment Strong understanding of data pipelines, handling datasets, and pre-processing techniques Excellent problem-solving skills and ability to innovate in developing scalable AI solutions Masters degree or equivalent work experience in Computer Science, Artificial Intelligence, or a related technical field Experience in finance, real estate, or investment platforms (preferred) Commitment to developing secure, transparent, and ethical AI applications