**About Us**

Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.

**The Role**

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. 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.

Key Responsibilities:

- 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.

**You**

- MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering.
- 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.

**Benefits**

- Early-stage startup with massive growth potential and ability to grow as Wizard grows
- Competitive compensation packages, including equity
- Health
    - Comprehensive, high-quality medical coverage
    - Dental & vision insurance
    - OneMedical memberships for you and dependents
    - Spring health platform for mental healthcare personalized to your needs
    - XP Health eyewear benefits ($180, 3x per year)
    - Rightway Health Guide
- Wealth
    - 401(k) Plan
    - Life & Disability insurance covered by Wizard
- Work/Life
    - Flexible PTO and sick time to take care of yourself and your family
    - 12 paid holidays
    - 16 weeks parental leave for primary and secondary caregivers
- In Office Perks
    - Hybrid work environment
    - Monthly team outings
    - Snacks and drinks to keep you fueled throughout the day

Machine Learning Engineer

**About Us**

Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.

**The Role**

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. 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.

Key Responsibilities:

- 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.

**You**

- 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.



**Benefits**

- Early-stage startup with massive growth potential and ability to grow as Wizard grows
- Competitive compensation packages, including equity
- Health
    - Comprehensive, high-quality medical coverage
    - Dental & vision insurance
    - OneMedical memberships for you and dependents
    - Spring health platform for mental healthcare personalized to your needs
    - XP Health eyewear benefits ($180, 3x per year)
    - Rightway Health Guide
- Wealth
    - 401(k) Plan
    - Life & Disability insurance covered by Wizard
- Work/Life
    - Flexible PTO and sick time to take care of yourself and your family
    - 12 paid holidays
    - 16 weeks parental leave for primary and secondary caregivers
- In Office Perks
    - Hybrid work environment
    - Monthly team outings
    - Snacks and drinks to keep you fueled throughout the day

Senior Machine Learning Engineer

**About Us**

Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.

**The Role**

In this role, you will focus on building Node.js and React web applications that make up our conversational commerce platform. You will work on a variety of projects, including    a real-time conversation management service that helps our team provide the best customer interaction through text, and a mobile-friendly web-app used by customers to review product details. You will work closely with cross functional teams made up of product managers, designers, data scientists, and machine learning engineers to create a zero friction user experience for our customers.

- Build highly-available and performant Node.js web applications and APIs
- Ship reusable, testable, and production grade code that follows best practices
- Architect and build scalable microservices
- Work with product teams to deliver software solutions for business problems
- Integrating CI / CD in your development process
- Leverage well-written and tested open-source libraries when available
- Write technical documentation
- Mentor fellow developers in selecting the appropriate technologies, data structures, design patterns, and algorithms for a given problem
- Write unit and integration tests with high code coverage

**You**

- Bachelor’s degree in computer science or similar discipline
- 5-7 years experience in software development
- Expertise with JavaScript / TypeScript
- Experience leading complex projects and delivering products to a highly-scaled user base
- Proficiency in Node.js and frameworks such as Express or Koa
- Previous experience in back-end languages and frameworks like Ruby, Ruby on Rails, Python, Django, or PHP
- Experience with frontend web frameworks like React, Angular, Vue.js, and jQuery
- Expertise in writing and debugging SQL queries
- Designing database schemas and migrating them over time
- Expertise with relational databases such as MySQL or PostgreSQL
- Experience with NoSQL databases like MongoDB
- Experience with system design and web application architecture
- Thorough understanding of asynchronous programming (promises, async / await)
- Experience building and consuming REST and GraphQL APIs
- Web application development using Javascript for all levels of the stack
- Familiarity with one or more cloud providers: AWS, GCP, or Azure
- Proficiency with Test Driven Development (TDD)
- Proficiency with Git, GitFlow, and using services such as Github or Bitbucket

**Additional Preferred Qualifications**

- Great written and verbal communication skills
- Team player hungry to learn from and teach fellow team members



**Benefits**

- Early-stage startup with massive growth potential and ability to grow as Wizard grows
- Competitive compensation packages, including equity
- Health
    - Comprehensive, high-quality medical coverage
    - Dental & vision insurance
    - OneMedical memberships for you and dependents
    - Spring health platform for mental healthcare personalized to your needs
    - XP Health eyewear benefits ($180, 3x per year)
    - Rightway Health Guide
- Wealth
    - 401(k) Plan
    - Life & Disability insurance covered by Wizard
- Work/Life
    - Flexible PTO and sick time to take care of yourself and your family
    - 12 paid holidays
    - 16 weeks parental leave for primary and secondary caregivers
- In Office Perks
    - Hybrid work environment
    - Monthly team outings
    - Snacks and drinks to keep you fueled throughout the day

Staff Software Engineer

Wizard

Wizard AI is powering the future of commerce through conversation. Our full-service B2B solution empowers brands to sell, market, and engage their customers directly via text, resulting in conversion rates 10x higher than ecommerce.

Cofounded by Marc Lore, Wizard is backed by a $50M Series A round led by NEA and Accel, and is on a mission to build the dominant technology in the space. We're hiring the best talent and we'd love for you to join us! We’re proud of our commitment to diversity and inclusivity—and we invest in your career by creating a workplace that values transparency and flexibility, and offers remote/hybrid work options. To learn more about Wizard, review our open roles, or request a demo, visit www.wizard.com. We'd love to hear from you!

Wizard

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