At a Glance
- Tasks: Build real-world AI solutions for safety and privacy in policing.
- Company: Join a forward-thinking team dedicated to impactful AI research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with negotiable roles for diverse skill sets.
- Why this job: Make a difference in society by developing innovative AI tools for transparency.
- Qualifications: Research mindset, experience in AI, and strong problem-solving skills.
The predicted salary is between 50000 - 70000 £ per year.
We're hiring a few people, and are looking for research-minded engineers to build real-world AI for safety- and privacy-critical settings, specifically policing. For police to serve people in a transparent and consensus-based way is demanding for many reasons. Lack of good interactive tools should not be among their challenges.
The roles span from cloud training infrastructure to inference on low-power edge devices. We want people who think like scientists: you form hypotheses, design experiments, build or stress-test benchmarks, and make progress while mitigating for uncertainty.
Several roles are open, and for strong candidates with range, the lines between them are negotiable:
- Vision-language models - data preparation, architecting, training, and applied research.
- Vision model distillation.
Research Engineers, Computer Vision & Multimodal AI employer: Stealth AI Startup (Policing)
As a leading innovator in AI technology, we offer a dynamic work environment where research-minded engineers can thrive. Our commitment to safety and privacy in policing ensures that your work will have a meaningful impact on society, while our collaborative culture fosters continuous learning and professional growth. Located in a vibrant tech hub, we provide unique opportunities for hands-on experimentation and the chance to shape the future of AI in critical settings.
Contact Details:
Stealth AI Startup (Policing) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineers, Computer Vision & Multimodal AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and computer vision. We love seeing real-world applications of your work, so make sure to highlight any experiments or benchmarks you've designed.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your thought process when tackling problems. We want to see how you think like a scientist, so practice explaining your hypotheses and experiments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for candidates who are genuinely interested in our mission of building AI for safety and transparency.
We think you need these skills to ace Research Engineers, Computer Vision & Multimodal AI
Some tips for your application 🫡
Show Your Research Mindset:When you’re writing your application, make sure to highlight your research-oriented approach. We want to see how you think like a scientist—talk about your hypotheses, experiments, and any benchmarks you've worked on. This will help us understand your problem-solving skills!
Tailor Your Experience:Don’t just send a generic CV! Tailor your experience to match the job description. If you’ve worked on projects related to AI, safety, or privacy, make sure to emphasise those. We love seeing relevant experience that aligns with our mission.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the details you need about the roles there!
How to prepare for a job interview at Stealth AI Startup (Policing)
✨Know Your AI Fundamentals
Brush up on your understanding of AI concepts, especially in computer vision and multimodal AI. Be ready to discuss how you would approach building real-world applications, particularly in safety-critical settings like policing.
✨Prepare for Hypothesis-Driven Questions
Expect questions that assess your scientific thinking. Prepare to explain how you form hypotheses, design experiments, and handle uncertainty in your research. Use examples from your past work to illustrate your thought process.
✨Showcase Your Technical Skills
Be ready to dive into the technical details of your experience with cloud training infrastructure and low-power edge devices. Highlight any projects where you've architected or trained models, and be prepared to discuss the challenges you faced.
✨Demonstrate Collaborative Mindset
Since the roles are negotiable and span various areas, show your flexibility and willingness to collaborate. Discuss how you've worked in teams before, especially in interdisciplinary settings, and how you can contribute to a transparent and consensus-based approach.
