Principal Machine Learning Engineer / Team Lead, Wizard
$285-315k
Plus equity
More information about location
Conversational AI for eCommerce customer engagement
Open for applications
Conversational AI for eCommerce customer engagement
21-100 employees
Open for applications
$285-315k
Plus equity
More information about location
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
- Ph.D.in Computer Science, Mathematics, or another quantitative field or outstanding professional experience in machine learning engineering
- Over 5 years of industry experience in machine learning, with a proven track record of developing ML-driven products at scale
- Experience building recommender systems, preferably in the e-commerce space
- Demonstrated expertise in tackling complex problems using machine learning frameworks like PyTorch
- A comprehensive understanding of ML system design in production environments, including a quantitative approach to evaluating performance bottlenecks and cost/performance trade-offs
- Hands-on experience with large-scale data systems, sophisticated data models, and batch and streaming data pipelines
- Quick adaptability to our technology stack encompasses GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js
- Deep experience in model deployment strategies, utilizing both in-application static methods and dynamic approaches with frameworks like Flask, FastAPI, or equivalents
What the job involves
- Wizard is seeking a Principal Machine Learning Engineer and Team Lead to join our rapidly growing AI team
- This role will drive the research, development and implementation of models and algorithms
- The role extends beyond traditional boundaries, requiring the candidate to innovate in model optimization, system scalability, and the integration of cutting-edge AI technologies to redefine conversational experiences
- As a engineer and team lead, you will set the technical direction and mentor a team of ML engineers, influence our AI strategy, and collaborate with cross-functional teams to drive product innovation and excellence
- Architect and oversee development for 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
- Build and maintain pipelines for fine-tuning open-source LLMs. Testing different architectures at different sizes and quantizations is important
- Serve and Deploy the LLM on GPUs
- Working with Product and Engineering counterparts, translate customer needs and business requirements into long term vision and roadmap at Wizard
- Act as a thought leader within the company, staying abreast of the latest advancements in the Generative AI field and integrating innovative technologies into our systems to maintain a competitive edge
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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