Work & Co, part of Accenture Song, is a global design and technology company with offices in the United States, Europe, and Latin America. We're known for uniting the industry’s best hands-on strategy, product and technical talent to generate tangible impact at scale. Client partners include IKEA, Apple, PGA TOUR, Gatorade, Google, Mercedes, Givenchy, the MTA and more. As Fast Company noted, our engineering and design teams are routinely entrusted with creating digital products for companies which rarely approach outside firms. Forrester Research calls our approach “a model to follow.” Visit work.co to learn more.

Developers at Work & Co work in small, highly collaborative teams to create visionary digital products and experiences that people use everyday. They work closely with designers, product managers, strategists, and QA Analysts to concept, prototype, and execute on a range of products. Join us as we help our clients redefine entire industries.

As a Technology Intern, you will be paired with a member of our development team and work on real Work & Co projects, writing production quality code for our diverse roster of clients. In addition to your day to day work, you will attend a number of workshops with other interns to learn about the digital product space and the contributions of other disciplines at Work & Co. This is a great opportunity to work on engagements alongside company partners as well as the top designers and engineers in the industry. Along the way, you will learn the details of developing products — from prototyping to production — as you partner with innovative clients like Apple, Google, Epic Games, Equinox, and Lyft.

What You Will Do:

• Paid 12 week (June 3 - August 23, 2024) internship working side-by-side with Work & Co project teams
• Assist in the use of data science and Machine Learning techniques to solving real-world problems
• Use modern tools, libraries and frameworks to create robust, extensible and testable software
• Test and debug your work to deliver performant, readable and maintainable code
• Gain experience validating and optimizing data pipelines for use in consumer-facing digital products
• Receive regular mentorship from your assigned project lead, and day-to-day support from your team members
• Participate in your team’s code review process to submit and receive feedback on pull requests

We Are Looking For

• A background in a field related to Computer Science, Math, Information Systems, etc.
• Experience writing python code for data engineering
• Knowledge of foundational data structures and algorithms to process and analyze data
• Ability to distill actionable insights from data analysis
• Active interest in ongoing developments and advances in the fields of Machine Learning and Generative AI
• Nice to have: Experience with techniques for applying Generative AI models, such as Retrieval Augmented Generation, prompt engineering, etc.
• Strong written, verbal and interpersonal communication skills
• Open to rising seniors and career-switchers
• Candidates must be open to commuting to our Brooklyn Studio 2-3 times per week

The base pay for the intern role is $1,000 per week. The base pay range is subject to change and may be modified in the future. Along with competitive pay, interns are eligible for insurance benefits.

Work & Co (work.co) defines and launches the world's most successful digital products and services. With offices in the United States, Brazil and Europe, we've become the go-to partner for IKEA, Google, Apple, Epic Games, Mailchimp, Aesop, Etsy and many other globally respected companies. As Fast Company noted, our engineering and design teams are routinely entrusted with creating digital products for companies which rarely approach outside firms. Forrester Research calls our approach "a model to follow."

At Work & Co, we believe diversity is essential to creating the best digital products. We're proud to be an equal opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of race, gender, ethnicity, citizenship, national origin of employees, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.