Machine Learning Intern (Summer 2024)

Location: US (Remote)

About Worldly

Worldly is the world’s most comprehensive impact intelligence platform — delivering real data to businesses on impacts within their supply chain. Worldly is trusted by 40,000 global brands, retailers, and manufacturers to provide the single source of ESG intelligence they need to accelerate business and industry transformation.

Through strategic and meaningful customer relationships, Worldly provides key insights into supplier performance, product impact, trends analysis, and compliance. When a company wants to change how business is done, we enable that systemic shift. 

Backed by a dedicated global team of individuals aligned by values, Worldly proudly operates as a public benefit corporation with backing from mission-aligned investors. Want to learn more? Read our story.

About The Role

We are seeking a summer intern to support our technology team. Reporting to the CTO, you’ll work across the team to help deliver new methods of predicting factory environmental impacts. Areas where you will gain experience include machine learning, sustainability, and data analysis. The ideal candidate is a student in data science, mathematics, computer science, or a related field. You are curious, open, and willing to learn. You seek out opportunities to help others and have a roll-up-your-sleeves attitude. No job is too big or too small. You can find the patterns and insights in data, and extrapolate those to interesting and innovative solutions.

What You'll Do

• Lead the work into exploring the applicability of Machine Learning to a specific subset of problems dealing with predicting factory impacts and performance.
• Write code to parse and modify data as required in support of a project goal.
• Work closely with the technology and data teams to obtain context, content, and access to our diverse and robust set of data.
• Surface new ideas and insights for potential future projects.

It Helps If You Have

• Dynamic self-starter who takes initiative, highly reliable
• Strong verbal and written communication skills; interpersonal and follow-up skills
• Proactive problem prevention and issue resolution leadership ability
• Polished and professional when dealing with members, prospective members, sponsors, and executive management
• Ability to work independently and as part of a team
• Ability to write software in support of data analysis
• Proven track record using Machine Learning to solve specific domain problems

Life at Worldly

Our team is motivated to transform the way products are made. By helping our customers succeed in a new era of sustainable production, we can build technology that makes a difference on a planetary level. 

Our team represents over 15 countries and brings unique experiences from technology to farming to the table. Surround yourself with kind, enthusiastic, and dedicated people who put collaboration and growth at the center of our shared goals. 

Equity Statement

We believe it’s essential to reflect the diversity of those we strive to serve. True innovation happens when everyone has room at the table, including the tools, resources, and opportunity to excel. We’re dedicated to building a culturally and experientially diverse team that leads and works with empathy and respect.

Compensation

$20 hourly