At a Glance
- Tasks: Develop and deploy AI agents for high-tech greenhouses, optimising crop yields and resource use.
- Company: Join a cutting-edge startup backed by leaders from Google DeepMind and Meta.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of sustainable agriculture.
- Why this job: Make a real impact on global agriculture and tackle climate change with innovative AI solutions.
- Qualifications: Strong skills in machine learning, control systems, and software engineering, especially in Python.
The predicted salary is between 60000 - 80000 £ per year.
Optimal is building AI agents to control the world’s most critical infrastructure - from factories to datacentres, starting with high-tech greenhouses. We have already built the world’s most advanced AI control for high-tech greenhouses and have proven breakthrough performance in customer greenhouses. We are actively scaling to more greenhouses and have signed integration partnerships allowing us to access 75% of the world’s greenhouses.
High-tech greenhouses are key to our agricultural future - for improving human nutrition and securing our food system against climate change and geopolitical instability. Our AI increases the profits of individual greenhouses by >$1M/year, increases yields, reduces energy and water usage, and unlocks global greenhouse expansion. There are 8,000 high-tech greenhouses in the world today giving Optimal an opportunity to create >8B/year of productivity gains.
Your Role: As a Founding AI Simulation and Control Engineer, you will have direct responsibility for the development and deployment of Optimal's AI agents at the most advanced greenhouses in the world. You will play a critical role in delivering AI to these greenhouses. This role is aimed at an ambitious engineer who is looking to play a fundamental role in delivering AI product at a fast-growing startup.
Your first 90 days:
- Visit a high-tech greenhouse to understand crops, hardware, and the underlying physical/biological processes.
- Adapt Optimal’s state-of-the-art simulation models to the greenhouse of a new customer and train the models on proprietary data from that greenhouse.
- Integrate the simulation models into Optimal’s AI control framework, taking real-time control of all of the greenhouse actuators.
- Deploy LLM agents to interact with customers and autonomously manage Optimal's AI control.
- Monitor, review and continuously improve the performance of Optimal's AI to maximise crop yields and minimise resource consumption, working closely with our agronomy experts.
Technical skills:
- Strong background in at least one of Machine Learning, Optimisation, Control (Model Predictive Control, Optimal Control, and classical feedback techniques), Reinforcement Learning, Physics Modelling and Numerical Simulation.
- Experience training Machine Learning models.
- Experience creating and deploying LLM agents and workflows.
- AI-native coding.
- Software engineering in Python (Julia is a bonus).
- Software engineering processes and tools (containers, version control, deployments etc).
Founding AI Simulation and Control Engineer employer: PassFort
At Optimal, we are not just building AI; we are revolutionising the future of agriculture with cutting-edge technology that enhances productivity and sustainability. As a Founding AI Simulation and Control Engineer, you will thrive in a dynamic and innovative work culture that prioritises collaboration and personal growth, backed by industry leaders from Google DeepMind and Meta. Join us in our mission to transform high-tech greenhouses and enjoy unique opportunities for professional development while making a meaningful impact on global food security.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Simulation and Control Engineer
✨Tip Number 1
Get to know the company inside out! Research Optimal's mission, values, and recent projects. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and potentially a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical challenges! Brush up on your skills in Machine Learning, Control Systems, and Python. Be ready to showcase your problem-solving abilities through practical examples during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of the Optimal team.
We think you need these skills to ace Founding AI Simulation and Control Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential in agriculture shine through. We want to see how you connect with our mission of optimising greenhouses and improving food systems globally.
Highlight Relevant Experience:Make sure to showcase any experience you have in machine learning, optimisation, or control systems. We’re looking for engineers who can hit the ground running, so don’t hold back on those skills that make you a great fit!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your qualifications without wading through fluff!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Optimal.
How to prepare for a job interview at PassFort
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI, especially in areas like Machine Learning and Control Systems. Be ready to discuss specific projects you've worked on, particularly those involving simulation models or LLM agents. This will show that you’re not just familiar with the theory but have practical experience too.
✨Understand the Greenhouse Game
Since you'll be working with high-tech greenhouses, it’s crucial to understand their operations. Research how they function, the challenges they face, and how AI can improve their efficiency. This knowledge will help you demonstrate your enthusiasm for the role and your commitment to Optimal's mission.
✨Show Off Your Coding Skills
Be prepared to discuss your coding experience, especially in Python. If you’ve worked with Julia, mention that too! You might even be asked to solve a coding problem during the interview, so practice some common algorithms and data structures beforehand to feel confident.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about the current challenges they face in deploying AI in greenhouses or how they measure success in their projects. This not only shows your engagement but also helps you gauge if this is the right fit for you.
