Senior Machine Learning Engineer, Wizard

$208-234k

+ Equity

Kubernetes

GCP

Python

Node.js

Airflow

Pandas

Flask

PyTorch

FastAPI

Senior level

Remote in US

Conversational AI for eCommerce customer engagement

Job no longer available

Conversational AI for eCommerce customer engagement

21-100 employees

B2BArtificial IntelligenceMarketingeCommerceSales

Job no longer available

$208-234k

+ Equity

Kubernetes

GCP

Python

Node.js

Airflow

Pandas

Flask

PyTorch

FastAPI

Senior level

Remote in US

21-100 employees

B2BArtificial IntelligenceMarketingeCommerceSales

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.

Job

Company

Role

Who you are

If 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

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
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

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

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.

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