Staff Applied Scientist, Lily AI
Machine Learning
$160-175k
Product discovery platform for brands
Job no longer available
Product discovery platform for brands
101-200 employees
Job no longer available
$160-175k
101-200 employees
Company mission
To empower retailers and brands by bridging the gap between brand-speak and customer-speak.
Role
Who you are
- 3+ years of experience in building large scale machine learning solutions
- Expertise in Python and PyTorch
- Experience with Large Language/Multi-Modal Models
- Experience with ML frameworks & platforms like Weights & Biases, PyTorch Lightning and HuggingFace
- Experience in data wrangling and preprocessing techniques
- Strong problem-solving, critical thinking, and analytical skills
- Familiarity with cloud platforms like Azure
- Familiarity with distributed systems
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field
What the job involves
- As part of the Machine Learning team, you will have the opportunity to reimagine and build the next-generation personalization that enables brands and retailers to understand the cognitive attributes of customers online and the 'why' behind 'what they do' in their journey by pushing the boundaries of our ML systems and algorithms
- Using proven techniques in computer vision and NLP to solve business challenges in the domain of deep product attribution, item setup and demand forecasting
- Conduct research on the latest machine learning techniques, tools, and frameworks to identify and recommend potential improvements to existing models and systems
- Design and perform experiments to validate and refine model performance, using both quantitative and qualitative methods
- Assist in the development of production-ready code and integrate machine learning models into existing systems and workflows
- Define the training-data roadmap for various ML tasks
- Continuously monitor and analyze model performance in production, identifying opportunities for improvement and optimization
- Maintain up-to-date knowledge of industry best practices, trends, and advancements in the field of machine learning
- Collaborate with internal stakeholders for various org initiatives
- Facilitate customer POCs and attend to escalations
Our take
Lily AI is a product discovery platform that utilizes purpose-built AI for retail. It helps retailers to gain a deeper understanding of their customers and explores the emotional context behind retail purchases.
Lily AI recognizes the importance of emotions in buying decisions, particularly how shoppers consider whether or not an item of clothing will suit their body shape. For example, Lily AI can recognize if a woman exclusively purchases midi length, A-line dresses, and will combine AI and emotional intelligence to determine how that shopper perceives their body shape. The AI technology will then recommend similar items and tailor search results to the individual.
The company argues that its competitors treat retail as a numbers game, and simply use AI to drive sales. Lily AI differentiates itself by putting emotional context into the situation, creating specially curated shopping experiences for consumers of its clients, which include enterprises such as Bloomingdale's, The Gap, and thredUP. 2024 Funds raised by the company will enable further expansion into international markets, digital platform integrations and accelerate the development of its AI solutions into the retail value chain.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2024
$20m
SERIES B
Dec 2023
$12.4m
EARLY VC
Total funding: $71.9m
Company benefits
- Comprehensive health and benefits package
- Paid vacation time and company holidays
- Flexible working arrangements
- Wellness Program
- Remote Team Building
- Diverse, Inclusive and Socially Responsible
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Purva Gupta
(CEO & Co-Founder)Tory Burch Fellow at the Tory Burch foundation. Founder of the Venture Creation Program at Yale and former project manager at UNICEF. MBA in Finance at the Indian School of Business.
Sowmiya Chocka Narayanan
(CTO & Co-Founder)Former Senior Software Engineer at Box. Previously Mobile Engineer at Pocket Gems and a Software Developer at Yahoo. Former Software Design Engineer at Texas Instruments. Masters in Electrical and Computer Engineering at the University of Texas at Austin.
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