Staff Machine Learning Engineer, Wizard
$235k
+ Equity
Conversational AI for eCommerce customer engagement
Open for applications
Conversational AI for eCommerce customer engagement
21-100 employees
Open for applications
$235k
+ Equity
21-100 employees
Company mission
To build a world where finding what you need is simple, fast, and fund - and where scouring the internet is a thing of the past.
Role
Who you are
- Wizard is hiring ML Engineers, preferably with a background in NLP, to work on all aspects of dialog systems, from fine-tuning LLMs to serving models and building data pipelines and entity resolutions
- F you don’t have an NLP background but have deep experience with Python and some exposure to ML and you are excited about the space and willing to learn, we would still encourage you to apply
- MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering
- 5+ years ML Experience
- Experience developing machine learning-driven products at scale
- Experience solving problems using Machine Learning with PyTorch
- Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs
- Practical experience with large data systems, data models, and batch and streaming data pipelines
- Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js
- Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks
What the job involves
- Build and maintain a training pipeline for fine-tuning open-source LLMs. Testing different LLM architectures at different sizes and quantizations is important
- Serve and Deploy the LLM on GPUs. It is important to know different configurations ahead of time to ensure we don’t OOM at runtime
- Formulate novel product issues to ML problems and propose and iterate on solutions quickly. We value the fast pace of development
- Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders
- Keep up with the fast-growing generative AI space and incorporate the latest developments into our system
Our take
Direct-to-customer marketing is invaluable for eCommerce brands trying to scale, helping to boost brand engagement and encourage repeat sales. However, providing personalized engagement on a large scale is almost impossible through traditional means, showing a demand for automated marketing solutions for large-scale customer interaction.
Wizard provides a conversational AI for eCommerce customer engagement capable of sending automated follow-up messages to customers after they have purchased an item. The tool is heavily focused on boosting product reorders through these follow-up texts, storing every customer's shipping address and payment details to facilitate sales with one-word answers from customers.
Whilst AI-driven chatbots are commonly used to answer simple questions on eCommerce websites, Wizard has taken this a step further by providing a simple way for businesses to receive new orders as a direct response to follow-up marketing texts. By allowing customers to bypass the web entirely for such reorders, the company claims it can boost conversion and repeat purchase rates, whilst simultaneously building brand engagement.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
20% employee growth in 12 months
Company
Funding (1 round)
Oct 2021
$50m
SERIES A
Total funding: $50m
Company benefits
- Equity
- Remote work culture
- Health, dental and vision insurance
- Mental healthcare support and services
- 401(K) plan
- 16 weeks parental leave
- 12 paid holidays
- Flexible PTO
- Life and AD&D insurance
Company HQ
Hudson Square, New York, NY
Articles
Leadership
Melissa Bridgeford
(Co-Founder & CEO)Experience as Director of Guggenheim Partners from 2009 to 2014. CEO and Founder of Stylust from 2017 to 2021.
Diversity, Equity & Inclusion at Wizard
- Wizard is committed to building the best team and strongly believes that fair hiring practices will help us achieve our goals. We advocate for diversity, equity and inclusion because it's not only the right thing to do, but also creates a positive work culture and stronger outcomes. Wizard does not discriminate or make decisions based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability or any other protected class(es). If you have a disability please let our recruiting team know how we can make the interview process work for you.
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