Recycling Innovation Engineering Spring/Summer Co-Op

Austin, TX 78701
  • Job Code
    200206188
Summary

Summary

Posted: Nov 10, 2020

Role Number:200206188

Are you a problem solver and self-starter? Do you thrive in a startup-like environment and seek to be a part of something bigger? ...Summary

Summary

Posted: Nov 10, 2020

Role Number:200206188

Are you a problem solver and self-starter? Do you thrive in a startup-like environment and seek to be a part of something bigger? Are you passionate about recycling and working towards a closed loop supply chain? As an Engineering Intern on Apple's Recycling Innovation team, you will be a part of solving the difficult challenges on the path to a closed loop supply chain. We celebrate diversity and the innovation that it spurs in everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Apple is committed to being 100 percent carbon neutral for its supply chain and products by2030. The Recycling Innovation team supports this effort by developing industry-leading technology to recover and reuse more materials from end-of-use devices. Apple's publicly announced projects, Daisy and Dave, are keystone projects to Apple's closed loop supply chain goal and are a result of this program. If you're interested in being a part of a team that's constantly learning and problem-solving, we'd love to talk with you.

Key Qualifications

  • Must be a self starter and independent worker with innovation, integrity and attention to details
  • Able to handle ambiguity and make decisions with uncertain or limited data
  • Able to communicate and build relationships effectively in a worldwide environment
  • Excellent communication skills, with the ability to distill complex ideas into concise business-focused messages
  • Ability to present findings with confidence, backed up by data, research, and prototyping results
  • Insatiable curiosity with a proven ability to propose creative solutions to difficult problems
  • Proven ability to transform ideas into reality
  • Demonstrated interest in data science

Description

The candidate will join the Recycling Innovation team, responsible for R&D, design, testing and qualifying of new recycling technologies to further Apple's closed-loop goals, with a focus on data science and machine learning. The candidate will work closely with the Apple engineering team to research and develop new recycling technologies, assess their feasibility and utility through experimentation, and present a recommendation for how to push the technology towards deployment. The candidate will be expected to:

Assume the responsibilities of the Directly Responsible Individual (DRI) for assigned projects
Develop a project plan to work diligently towards finding the best solution for complex recycling challenges
Combine industry research, consultation with internal specialists, and hands-on experimentation to inform selected solutions
Design and build prototypes to explore feasibility of proposed solutions and inform the design of scalable systems
Explore text and image datasets to identify patterns
Recommend best path forward to move from lab-scale prototype to scalable and deployable process
Generate required documentation to capture final solution details and transfer knowledge to deployment partners

Education & Experience

Undergraduate or graduate student working towards a technical degree which includes studies of machine learning, computer vision, statistics, operations research, robotics, or closely related fields with demonstrated experience working on projects which involve these skills.

Additional Requirements

  • Strong, demonstrated interest in data science and solid, proven grasp of data analysis
  • Familiarity with Python, Java, C++, Swift, or similar programming language
  • Knowledge of MS Excel and Excel VBA.
  • Comfort with large-scale databases and distributed computing with a working knowledge of SQL is a plus
  • Practical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN) is a plus


Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Recycling Innovation Engineering Spring/Summer Co-Op

Apple, Inc.
Austin, TX 78701

Join us to start saving your Favorite Jobs!

Sign In Create Account