Senior Software Engineer, Recycleye

Salary not provided

Offers shares

AWS
GCP
Python
Azure
Senior level
London
Recycleye

AI-powered waste sorting robotics

Job no longer available

Recycleye

AI-powered waste sorting robotics

21-100 employees

B2BArtificial IntelligenceSustainabilityBig dataDeep TechRoboticsComputer VisionMachine LearningEnvironmental

Job no longer available

Salary not provided

Offers shares

AWS
GCP
Python
Azure
Senior level
London

21-100 employees

B2BArtificial IntelligenceSustainabilityBig dataDeep TechRoboticsComputer VisionMachine LearningEnvironmental

Company mission

To deliver intelligent sorting technology and research to reinvent the economics of recycling.

Role

Who you are

  • Strong knowledge of Python, with examples of complex commercial projects to support this knowledge
  • Significant hands-on experience in delivering production-level code and promoting best practices at a senior level
  • Experience supporting and mentoring more junior members of a team
  • Excellent written and verbal communication skills, with the ability to tailor information and delivery appropriate to the audience
  • Good familiarity with cloud systems such as Azure, GCP, AWS
  • Experience with networking concepts – such as VPNs, certificates, and related technologies
  • Demonstrable commercial experience, with examples of when you have had to understand complex commercial requirements to deliver maximum customer value
  • Experience working through the cycle of planning, designing, executing, and supporting a product

Desirable

  • Experience with robotics, hardware, IOT, or industrial environments
  • Experience acting as team lead, development coach, or other leadership duties
  • Experience working in a startup and scaling a product according to business needs

What the job involves

  • This role is part of our Device and Connections team, which is made up of a combination of a tech lead, other Software Engineers, and our Controls Engineers
  • The software engineers on the team are responsible for developing and maintaining our software platform, handling and providing support for issues raised by clients, as well as improving the health and long-term resilience of our codebase
  • In this role, you will lead on product features and provide support to ongoing projects, which often involves collaboration with other members of Recycleye, including our hardware and machine learning engineers
  • Tech stack: Python, Deepstream, Azure, IoT Edge
  • Serve as a role model in adopting a holistic, well-rounded mindset that considers commercial, physical and software solutions in addressing challenges
  • Understand and adapt to practical limitations. Client site conditions (low internet) and running on hardware can affect the robustness of our system and ability to effectively test. Integrate this understanding into the design, testing, and deployment of your work
  • Review PRs and collaborate with other members of the team to improve our engineering excellence across the board
  • Work on support tickets and help to prioritise work to minimise the team’s support burden and enable the Customer Support team to self-serve issues by building tooling
  • You will collaborate with the team’s tech lead to create the technical roadmap in an uncertain environment, balancing business impact vs confidence and making tactical development bets
  • Advocate for an industrialisation mindset – high quality code and resilience over extra features, leading to strong, scalable production processes
  • Lead efforts to refine team ways of working, including versioning, documentation, release and deployment processes
  • Advocate for a working environment that is both efficient and sustainable

Salary benchmarks

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

All materials have potential value for recycling or re-use if properly collected, aggregated, and processed. Recycleye is set to revolutionise recycling and accelerate the transition towards a circular economy, with its neural network providing a system that can identify and classify recyclable materials leading to more efficient sorting.

Recycleye has significant partnerships in place. As well as conducting paid pilots with the waste industry, it has partnered with Imperial College as well as Microsoft and Netherland’s Delft University to develop AI & machine learning. This ensures Recycleye has the newest capabilities and systems within its pipeline, keeping it at the forefront of development.

The global market for waste sorting is headed towards being worth more than $2 trillion a year, with the need for transparent and low cost solutions only expected to grow. Recycleye's system is affordable, data driven, and reduces the need for manual sorting, all contributing to the positive attention it has accrued. On top of this, significant funding has been raised by the company than will help scale operations and further improve its system's sorting accuracy.

Insights

Top investors

Few candidates hear
back within 2 weeks

156% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Feb 2023

$17m

SERIES A

Dec 2021

$0.5m

GRANT

Total funding: $25.3m

Company benefits

  • Flexible working hours and workplace
  • Extensive upskilling opportunities
  • Unlimited paid holiday
  • Work from home opportunities
  • Healthcare coverage

Company values

  • Inclusivity
  • Perseverance
  • Empowerment

Company HQ

London, UK

Founders

Completed a PhD in Environmental Engineering and Computer Vision and previously worked as an analyst at Goldman Sachs.

Completed a master's in Computer Science at Imperial College and has worked as a data scientist prior to founding Recycleye.

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