Robotics Software Engineer (Deep Learning)

Muddy Machines is a seed-stage robotics company looking to solve the labour challenges found in the Agri-tech industry in a sustainable way.

We combine cutting-edge AI and the latest sensor technologies to create autonomous robots that drive through fields harvesting accurately for up to 16 hours a day with no decline in performance.

Despite being founded in the middle of the pandemic lockdown in 2020, our first robot was built and on farms within 6 months. We have a second and third product not too far behind, have won multiple Innovate UK grants, are backed by some prestigious Robotics Investors, and we only just getting started!

Based out of the Central Research Laboratory in West London, we are a growing, mission-driven team, that have come from a range of backgrounds including Nasa, Dyson, Deliveroo and Airbus to help make farming a zero-emissions industry.

About the role

We are looking for a number of talented Robotics Software Engineers with Deep Learning expertise to join us and help push the boundaries of what is possible on farms. We are looking for candidates with proven track records of delivering innovative technology, to shape the future of farming.

You will use your experience to push the boundaries of robotics products in the agricultural industry, and in doing so, become an integral part of the business.

John, our Head of Software had this to say about working at Muddy Machines: "When tech companies use hyperbole about how they're going to "change the world", as a software engineer you will likely end up writing code to optimise online ad sales or speed up database transactions. At Muddy Machines, it's not hyperbole. You actually can change the world here by developing software to control climate-friendly crop harvesting robots!"

Join us and shape the future of farming.

Requirements

We are looking to bring in a number of Robotics Software Engineers to work across a range of challenges including:

• Developing and training novel or existing deep-learning models to identify and locate new crops
• Working with 3D and image data to locate different crop types
• Developing control models for our proprietary harvesters and tools
• Developing multi-modal sensor fusion algorithms for object detection

About You

• Ideally, you will possess a first-class degree in Robotics, Engineering, Computer Science, or a related field
• 1-2 years of experience as a deep learning or robotics engineer
• Deep Learning Expertise, ideally using PyTorch
• Strong coding skills in at least two programming languages such as Python and C++
• Proficient with Linux
• A creative and considered approach to problem-solving
• Experience working in a fast-paced, results-oriented environment
• Excellent ability to communicate technical knowledge in a clear and understandable manner
• Self-starter - ability to work independently
• Ability to travel during the working week
• Broad knowledge of robotics and real-time control fundamentals
• Be passionate about agriculture and helping produce food sustainably

Benefits

• Your early contribution to the company will be rewarded with a generous equity package so that you share in the value you create
• Significant opportunities to progress as the company grows
• Regular travel throughout the beautiful UK countryside for field trials, testing, and on-farm development. When we say field trials, we mean it!
• A wild ride full of learnings and new experiences, you will never wonder why you get up in the morning
• Flexible working hours and location, work from where you and your team are the most productive
• Vibrant workspace colocated with some of London's most innovative hardware companies
• Regular events with catered lunches
• Free onsite gym and showers
• Nearby climbing wall with subsidised membership
• Free onsite parking
• Free hot drinks and plenty of desk or couch space

Our Interview Process:

1. Submit your CV and answer the questions on the application form
2. If you are successful at this stage we'll arrange an initial video call with our Head of Talent who will explain the position, introduce Muddy Machines and get to know a little bit more about you (30 minutes)
3. Successful candidates at this stage will then be invited to a technical interview and to meet some of the team lasting around 2.5hrs. (Note, depending on team availability, these may be in-person, or happen virtually)
   

At Muddy Machines, we have a unique opportunity to ensure our teams are diverse and inclusive from day one. We know outstanding results occur when unique individuals from diverse backgrounds come together and this is something we are keen to cultivate as our company grows. We welcome candidates from every community. We treat every employee equally, and fairly regardless of age, disability, gender, marital status, race, religion, or sexual orientation. It is vitally important that each of our team members feels confident, comfortable, and empowered.

Note to recruitment agencies: Muddy Machines is committed to building a long-term approach to our hiring strategy, we are therefore already working in partnership with a selected talent partner. We, therefore, ask you to hold off sending speculative CVs or sales approaches through this email.