Prodigal

Lending Intelligence Software

Senior NLP Engineer at Prodigal

Location
Remote
Job Type
Full-time
Experience
3+ years
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Shantanu Gangal
Shantanu Gangal
Founder

About the role

About Prodigal

We are a fast-growing Bay Area-based startup backed by leading investors like Menlo Ventures , Accel and Y-Combinator. In the past year we grew revenue nearly 10x and continue to build torridly. Our core product offering helps automate lending operations for financial services firms across the lending value chain. The Prodigal team has deep technical talent today and we believe there is an opportunity to build an iconic vertical software business that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Debt has such a massive impact on consumers and prior to Prodigal, the industry was saddled with painful, low value manual workflows, and poor customer experience. Our mission is to humanize the debt repayment process through automation and data.

What will you be doing?

• As a Senior NLP Engineer on our growing AI/ML team, you will take on a leading role in building the NLP backbone used in Prodigal's Conversational Intelligence products.

• Be hands-on in building NLP models that can be applied to multiple products and thereby set the vision for the entire team about using state-of-the-art NLP on the large datasets that we have.

• Collaborate with the team to improve our high-performance speech recognition models

• As a core part of the Prodigal team, you will help in making decisions around the architectures and systems to use for our ML technology to have best-in-class accuracy at real-time speeds

• Keep pace with new exciting developments in the field in industry and academia alike and to adopt interesting approaches to solve problems relevant to us

• Design and set up processes for gathering, cleaning and annotating data required for model building

What are we looking for in you?

• Bachelor's degree in computer science, mathematics or similar. Master's is preferred but not required.

• 4+ years of experience using machine learning or other NLP techniques, including but not limited to Deep Learning

• 4+ years of experience implementing machine learning related techniques using Python or other popular programming languages / tool kits

• 2+ years of experience in building production grade NLP models on conversational data (preferably on audio conversational data)

• Familiarity with Deep Learning and machine learning frameworks such as PyTorch, Keras, TensorFlow etc.

• Experience working in data or applied science in a consumer product company

Benefits

• Health Insurance coverage for employees and their families

• Sponsorship and support for any training materials, books, courses, exam fees for upskilling yourself in areas related to your role

• Generous leave policy

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

Why you should join Prodigal

We are a fast-growing Bay Area-based startup backed by leading investors like Accel and Y-Combinator. In the past year we grew revenue ~10x and continue to build torridly.

Our core product offering helps automate lending operations for financial services firms across the lending value chain. The Prodigal team has deep technical talent today and we believe there is an opportunity to build an iconic vertical software business that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Debt has such a massive impact on consumers and prior to Prodigal, the industry was saddled with painful, low value manual workflows, and poor customer experience- our mission is to humanize the debt repayment process through automation and data.