At a Glance
- Tasks: Join us to develop AI solutions for infrastructure health monitoring and revolutionise inspections.
- Company: Inframind Labs, a deep-tech startup from Cambridge University, focused on innovative AI technology.
- Benefits: Competitive salary, flexible working hours, and the chance to work on impactful projects.
- Other info: Dynamic startup environment with opportunities for growth and collaboration.
- Why this job: Be part of a mission-driven team tackling global infrastructure challenges with cutting-edge AI.
- Qualifications: Bachelor's in relevant field and 2 years of industry experience required.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Inframind Labs is a deep-tech spinout from Cambridge University, building the AI digital inspector to revolutionize infrastructure health monitoring. Our technology is solving a massive, global problem: the inefficiency and inaccuracy of manual inspections for critical infrastructure like bridges, tunnels, buildings and other large-scale assets.
Every year, trillions of dollars are spent on infrastructure maintenance globally, yet catastrophic failures still occur due to human limitations in inspection processes. Our mission is to eliminate these inefficiencies and risks by replacing manual inspections with an AI-powered solution that’s faster, safer, and more reliable.
Using our proprietary AI models and exclusive training data—developed through years of cutting-edge research—we enable real-time structural health monitoring at a fraction of the cost. This is a great opportunity to join a mission-driven company tackling one of the most significant challenges in sustainability, safety, and efficiency.
The Opportunity
We are looking for an ML Engineer to join our Ox-bridge team, working with us to build this revolutionary platform from the ground up. It’s a great chance to be part of a game-changing journey—to create technology that impacts everyone\'s daily life worldwide while shaping the future of a fast-growing deep-tech startup.
Qualifications
- Bachelors in Computer Science, Data Science, Information Engineering, or a related field. Advanced degree preferred.
- Minimum of 2 years industry experience in Computer Science, Data Science, Information Engineering, or a related field.
Technical skills
Essential:
- Proficiency in designing, training, and optimising neural networks, particularly CNNs.
- Strong background in handling and preprocessing large-scale point cloud datasets and high-resolution images.
- Knowledge of 3D feature extraction, denoising, and registration techniques for point cloud data.
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with libraries Open3D and NumPy.
- Experience in designing and developing point cloud segmentation algorithms.
- Hands-on experience with benchmarking and evaluating deep learning models for anomaly detection, damage assessment, and/or segmentation.
Desirable but not essential:
- Experience with data augmentation, synthetic data generation, and multimodal data integration.
- Experience with state-of-the-art architectures for point cloud processing and image analysis.
- Experience in cloud-based and distributed computing for model training (e.g., AWS, Google Cloud, Azure, or HPC systems).
Other Skills
- Interest and enthusiasm in working at the intersection of civil engineering and computer science.
- Good communication skills.
- Experience collaborating in teams with engineers and/or data scientists.
- Problem-solving mindset and adaptability to new challenges.
- Attention to detail, particularly in data quality assessment and interpretation.
ML Engineer in AI startup in Cambridge employer: Inframind Labs
Inframind Labs is an exceptional employer for ML Engineers, offering a unique opportunity to work at the forefront of AI technology in a vibrant startup environment. Located in the prestigious Ox-bridge area, we foster a collaborative and innovative work culture that prioritises employee growth and development, providing access to cutting-edge research and real-world applications that make a significant impact on global infrastructure safety and efficiency. Join us to be part of a mission-driven team dedicated to revolutionising infrastructure health monitoring while enjoying the benefits of a supportive workplace that values creativity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer in AI startup in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Inframind Labs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Engineer in AI startup at Inframind Labs.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Inframind Labs.
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When you find a suitable opening like ML Engineer in AI startup at Inframind Labs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ML Engineer in AI startup in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Inframind Labs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Inframind Labs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Inframind Labs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Inframind Labs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
