Principal Software Engineer, AI/ML

Posted 6 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
250K-350K Annually
7+ Years Experience
Cloud • Real Estate • Software • Analytics • Financial Services
Real estate's leading deal management platform, empowering investment managers to ingest, manage and execute deals
The Role
As a Principal Software Engineer specializing in AI/ML, you will develop innovative ML solutions for document processing and search in the commercial real estate sector. You'll build robust ML pipelines, lead integrations of ML models, and work closely with cross-functional teams to enhance the customer experience while ensuring high-quality standards for data annotation and model performance.
Summary Generated by Built In

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!

Top Skills

Python
PyTorch
TensorFlow
The Company
HQ: San Francisco, CA
100 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Dealpath is the industry’s most trusted cloud-based real estate investment management platform, providing real-time access to vetted, secure, up-to-date investment data to empower collaboration, strategic, and predictive decisions. Investment and development firms leverage Dealpath as their command center for smart pipeline tracking, powerful deal analytics and collaborative workflows—driving maximum performance from pipeline to portfolio management. As the real estate deal management software category creator, Dealpath offers the only enterprise-ready solution available in the market today.

Founded in 2014, Dealpath has supported over $10 trillion in transactions with leading institutions across the world, including Blackstone, Nuveen, AEW, Oxford Properties, Principal Real Estate & Bridge Investment Group. Following rapid global expansion, Dealpath recently closed a $43M series C funding round led by Morgan Stanley Expansion Capital, with participation from notable existing investors including Blackstone, 8VC, JLL, Nasdaq Ventures and GreenSoil Proptech Ventures. Dealpath is dual-headquartered in San Francisco and New York, with additional offices in Toronto and Austin.

Why Work With Us

We are a highly transparent, people-first organization that strives to ensure employees at all levels can make their ideas heard and benefit from collaborative learning opportunities. As a category creator with a blue ocean opportunity and a perfect product market fit, Dealpath takes a “promote-from-within” approach to fostering career development.

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