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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 autonomous retail space.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while mentoring others and shaping future technologies.
- Qualifications: 6+ years in software engineering with strong Python and AI project experience.
- Other info: Dynamic startup environment with a focus on collaboration and innovation.
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 employer: Cervin Ventures
Contact Detail:
Cervin Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. AI Systems Engineer
✨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 showcasing your projects, especially those related to computer vision and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Sr. AI Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Sr. AI Systems Engineer. Highlight your experience with computer vision, Python, and any relevant projects that showcase your skills in scene understanding and system calibration.
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 specific technologies you’ve worked with that relate to the job.
Showcase Your Leadership Skills: Since this role involves mentoring and leading a team, make sure to highlight your leadership experience. Share examples of how you've successfully managed projects or guided teams in previous roles.
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 the role. Plus, it shows you’re keen on joining our team!
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 concepts. 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 leading a team, be prepared to discuss your previous leadership experiences. Think of specific examples where you’ve mentored others or facilitated collaboration. Highlight how you can promote best practices in software development and project management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. For instance, how would you approach calibrating a system with hundreds of cameras? Practise articulating your thought process clearly and logically, as this will demonstrate your expertise and strategic thinking.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI and how they can be applied to scene understanding. Be ready to discuss any recent advancements you find interesting and how they could benefit the company. This shows your passion for the field and your commitment to continuous learning.
