Woven Planet

Software Engineering Intern, Data Search

London, UK Remote Hybrid
Python Kafka Elasticsearch C++ GCP Azure Machine Learning AWS
Description
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

 
TEAM
Our Data Platform team is working on accelerating autonomous driving by providing access to petabytes of  data collected by our fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.
 
Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and Elasticsearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK and US.
 
WHAT WE WILL GIVE YOU  ?
The internship period has two primary academic objectives. First, the intern intends to advance their system architecture design skills to tackle cutting-edge mobility challenges in scalable data search. Second, the intern seeks to acquire hands-on experience in addressing practical engineering issues in an industry setting. Throughout this internship, the intern will deepen their understanding of system design and software engineering while exploring innovative solutions for multimodal search.
 
At Woven by Toyota, our internships are crafted to promote both technical and professional development. You will have the chance to engage with advanced data search problems, enhancing your system design expertise and gaining experience in bringing solutions to production. With continuous feedback and well-defined goals, you will receive support from mentors and managers throughout the experience. At the conclusion of the internship, you will present your project results to the team and other interested stakeholders.
 
MINIMUM QUALIFICATIONS
      Currently pursuing a master's degree in Computer Science, Computer Engineering, Computer Systems, or similar.
      Proficiency in developing with one or more of the following programming languages : C++, Python
      Applied knowledge and understanding of engineering first principles
      Proven ability to tackle complex engineering problems.
      Basic working knowledge of cloud applications (e.g., AWS, GCP, Azure)
      Basic knowledge of Serverless Data Warehouse e.g., BigQuery/Snowflake
      Understanding of Machine Learning fundamentals
      Strong written and verbal communication skills
 
 
NICE TO HAVES
      Prior experience in Autonomous driving domain
      Hands-on experience with building vector search system
      Hands-on experience with Vision language models
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Woven Planet
Woven Planet
Artificial Intelligence (AI) Automotive Autonomous Vehicles Software

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