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- Tasks: Lead cutting-edge computer vision projects and develop innovative scene understanding systems.
- Company: Join AiFi, a pioneering tech company in the AI and retail space.
- Benefits: Enjoy competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with a talented team on exciting projects.
- Qualifications: 6+ years in software engineering, strong Python skills, and experience in computer vision.
- Other info: Dynamic startup environment with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
In this role, you'll lead the Scene Understanding Team's computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage 'scene calibration' technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders, and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master's degree in computer science or a related field.
- 6+ years of experience as a Software Engineer.
- Extensive experience in Python.
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries.
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry.
- Proven experience in production.
- Excellent leadership, communication, and management skills.
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures.
- Experience with containerized applications, Kubernetes and Docker.
- Experience with Azure.
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap.
- Experience with SLAM or Structure from Motion.
- Experience in a fast-paced, product-driven startup environment.
- Experience with Golang.
- Experience in the autonomous retail industry or a similar domain.
- Experience in MLOps, DevOps, and build/release/deployment automation.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Venture Capital and Private Equity Principals
Sr. AI Systems Engineer in London employer: Cervin Ventures
Contact Detail:
Cervin Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. AI Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to computer vision and AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and coding challenges relevant to the role. Practice explaining your past projects and how they relate to scene understanding and camera calibration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at AiFi.
We think you need these skills to ace Sr. AI Systems Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, computer vision, and any relevant projects you've worked on. We want to see how you can contribute to our Scene Understanding Team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention any leadership experience or collaborative projects that showcase your ability to work in a team.
Showcase Your Projects: If you've worked on any cool projects related to scene understanding or computer vision, make sure to include them! We love seeing practical applications of your skills, so share links to your GitHub or any relevant portfolios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Cervin Ventures
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, RESTful APIs, and computer vision. Brush up on your knowledge of 3D reconstruction methods and semantic segmentation, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading a team, be prepared to discuss your previous leadership experiences. Share specific examples of how you've managed projects, facilitated communication with stakeholders, and contributed to a collaborative environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in past projects, particularly those involving scene calibration or deploying AI systems, and how you overcame them.
✨Stay Updated on AI Trends
Demonstrate your passion for AI by discussing recent trends or technologies that excite you. This shows that you’re not just qualified but also genuinely interested in the field, which can set you apart from other candidates.
