Co-Op: AI Application Engineer

Co-Op : AI Application Engineer

At Rakuten, we pride ourselves on providing a genuine, immersive experience that has a direct impact on company objectives.

You will do meaningful work, and with us, you’ll be a true member of the team. We are also invested in your growth as an individual and professional.

Please visit rakuten.us and our Muse profile to learn more about Rakuten’s culture and values.

Business Unit Introduction :

Our Technology Services Division (TSD) is at the forefront of Rakuten's AI and Data initiatives, playing a pivotal role in enhancing the user experience and operational efficiency across our diverse portfolio.

We are dedicated to developing cutting-edge services in areas such as Search, Recommendation, Advertising and Marketing Optimization, Inventory and Price Optimization, Data and Analytics, Conversation AI, and Rakuten AI for Business.

Our team is passionate about incubating new ideas and laying the groundwork for the future.

We are excited to offer a unique program designed for college students passionate about AI and Data Science. This program is an excellent opportunity for those who are eager to apply their academic knowledge to real-world challenges, gain hands-on experience, and contribute to pioneering AI and Data projects within Rakuten.

This program is not only about learning technical and product skills but also about pushing boundaries, being proactive, building relationships, and connecting technology with business and users.

It offers a unique blend of bold innovation and thoughtful execution working with members across our global remit, underlined by a commitment to community contribution and personal growth.

Join us at Rakuten to embark on a journey of learning, innovation, and contribution. Together, we can explore the vast potential of AI and Data Science to enhance our services and impact the world positively.

KEY RESPONSIBILITIES

• Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
• Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
• Collaborate with product management and engineering groups to develop new products and features
• Assist in testing and validating AI model performance and addressing any issues or bottlenecks in the software

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools
• Strong analytical and quantitative problem-solving ability, and conceptual skills
• Excellent communication (written and verbal) skills, collaboration skills and is a team player
• Ability to prioritize tasks to meet deadlines
• Ability to work independently and collaboratively in a team

MINIMUM REQUIREMENTS

Currently enrolled and pursuing a bachelor’s, master’s, or PhD degree in Computer Science, Computer Engineering, Machine Learning, or related field.

At the time of posting, Rakuten expects the hourly rate for this role will be between $50-60 / hr. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location.

Five Principles for Success

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen

Passionately Professional - Take an uncompromising approach to your work and be determined to be the best

Hypothesize - Practice - Validate Shikumika - Use the Rakuten Cycle to succeed in unknown territory

Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile

Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.

Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

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