Principal Software Engineer, AI/ML

Dealpath is looking for an experienced Principal AI/ML Engineer to join our growing team, delivering best-in-class solutions for the Commercial Real Estate industry. This is an opportunity to join a team of innovators and play a critical role by utilizing your NLP expertise to define, explore, build and deliver state-of-the-art ML solutions for document processing and search that are crucial for company growth and product roadmap. This is a high visibility product engineering initiative and you will be working alongside Engineers who have delivered a category creating enterprise SaaS platform. Dealpath is the leading SaaS deal management platform that empowers firms involved in the acquisition, development, and financing of commercial real estate assets. Hybrid 3-days in office per week policy in San Francisco, CA. You're excited about this opportunity because you'll Build document Parsing, NER, RAG, Chatbot and document generation systems. Build robust data and ML pipelines for production scale and performance Build tools to evaluate and monitor model performance and accuracy, for both personal and org wide use Be hands on translating concepts to implementation and monitoring post launch You will work closely with cross-functional teams, especially product management to define, build and adapt ML solutions to enhance our customer experience. Lead evaluation, prototype and integration of various Open and Closed source LLM in a privacy preserving manner to identify best use cases Monitor the ML Pipelines to detect the performance, data & model drift. Be involved in technology research, capability building across newer technologies and tools in Machine Learning / Deep Learning/ Artificial Intelligence and Advanced Analytics ecosystem at scale. We're excited that you have Deep knowledge of search and AI Experience designing high quality NLP solutions using Tensorflow, Pytorch, etc and incorporating them into a highly scalable revenue generating enterprise SaaS solution. You have worked closely with cross-functional team members including product management and key business stakeholders to deliver on the product road map. Build quality control metrics and methodology to evaluate the quality of data annotation. Design and develop data annotation guidelines and workflows. The ability to translate concepts into implementation and monitor post-launch. Deep engineering knowledge to evaluate solutions based on cost, performance, and scalability Have a fearless attitude to experiment, explore, build and also mentor. Qualifications Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Language Processing (NLP), or other related fields. 10+ years experience as a software engineer, and prior experience implementing NLP at an enterprise level company. Must have experience with one or more of deep learning frameworks/Tools such as Python, PyTorch, TensorFlow, Scikit-learn Must have experience with data processing and manipulation preferable with Go or Python. Must have experience with search, particularly information retrieval, Elasticsearch, and relevance Experience working with and fine tuning existing models esp from Hugging Face Experience translating AI/ML solutions from prototype to production scale Excellent communication and strong organizational skills with a keen eye for details. For bonus points Experience building semantic search engines / vector search (preferably with Elasticsearch). Design and implement data pipelines for information retrieval, data processing, and data transformation including but not limited to working with data annotation teams Machine Learning Operations (MLOps) experience. Experience with LLM like GPT, Gemini, Anthropic, Open AI Models and ecosystems like Groq, Together.AI, etc Awareness about model bias and ability to resolve this Interest in building, growing, and mentoring a team The Perks & Culture : Medical, dental, & vision insurance coverage options Flexible Spending Account Paid Parental Leave 401(k) Company sponsored commuter benefits Flexible time off policy Catered lunches and snacks Monthly wellness reimbursement The estimated pay range for this position is $250,000 - $350,000 base. This position is also eligible for Dealpath's equity plan. Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process. Your actual compensation will be confirmed in writing at the time of offer. Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes available. About Dealpath : Dealpath is the world's largest and most trusted real estate investment management platform. To date, Dealpath has powered over $10 trillion in transactions in partnership with hundreds of firms, from leading global institutions including Blackstone, Nuveen, LaSalle, CBRE IM, and MetLife to lean mid-market and regional organizations. Dealpath drives investment performance by uniting data, insights, and execution in a platform purpose-built for real estate, giving firms the tools they need to operate with speed and precision and unlock opportunity in a dynamic and competitive landscape where information reigns supreme. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture - we'd love to meet you!

Created: 2024-11-05