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 options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in sustainable agriculture.
- Why this job: Make a real impact on global food systems while working with advanced AI technology.
- Qualifications: Strong background in machine learning, control systems, and software engineering skills.
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 are backed by the Director of AI Research at Google DeepMind, a Board Member at Meta, as well as early VCs in SpaceX, Anduril, and Palantir. 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. But the shortage of skilled operators causes existing greenhouses to underperform and prevents new greenhouses being built. 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. By overcoming the shortage of skilled operators, we enable the rapid deployment of new greenhouses outside cities across the world.
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 in London employer: PassFort
At Optimal, we are not just building AI agents; we are revolutionising the future of agriculture with cutting-edge technology that addresses global challenges. As a Founding AI Simulation and Control Engineer, you will thrive in a dynamic startup environment that fosters innovation and collaboration, offering unparalleled opportunities for personal and professional growth. With a strong commitment to sustainability and a mission that impacts food security worldwide, Optimal provides a unique chance to make a meaningful difference while working alongside industry leaders and experts.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Simulation and Control Engineer in London
✨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 that you're genuinely interested in being part of their journey.
✨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 might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your skills. Practice coding challenges and review key concepts in machine learning and control systems. We want to see you shine and demonstrate your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Optimal and contributing to our exciting mission.
We think you need these skills to ace Founding AI Simulation and Control Engineer in London
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.
Highlight Relevant Experience:Make sure to showcase any experience you have with machine learning, optimisation, or control systems. We’re looking for engineers who can hit the ground running, so don’t hold back on your technical skills!
Tailor Your Application:Customise your application to reflect the specific role of Founding AI Simulation and Control Engineer. Mention how your background aligns with the responsibilities outlined in the job description, especially your experience with simulation models and LLM agents.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Optimal!
How to prepare for a job interview at PassFort
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Machine Learning, Control Systems, and AI coding. Be ready to discuss specific projects you've worked on that relate to these areas, as this will show your expertise and passion for the role.
✨Understand the Mission
Familiarise yourself with Optimal's mission and the importance of high-tech greenhouses. Being able to articulate how your skills can contribute to improving agricultural practices and addressing climate change will impress the interviewers.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in past projects. Think about examples where you've had to adapt models or integrate new technologies, as this aligns perfectly with the responsibilities of the role.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company and the role. Inquire about their current projects, challenges they face in deploying AI in greenhouses, or how they measure success. This demonstrates your enthusiasm and critical thinking.
