Machine Learning Specialist (Computer Vision & Object Detection) in Cardiff

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists. In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems.

The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep foundational knowledge on ML-based computer vision. In addition, you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise.

Previous contributions to state-of-the-art machine vision models including object detectors as used in applications is required. Knowledge of Machine Learning verification is not required, but a solid knowledge of existing testing practices, metrics, state-of-the-art training and validation methods is essential.

Responsibilities:

• Work closely with customers and end-users to understand their machine vision models and help them assess performance.
• Implement prototypes, use cases, and solutions that apply the methods and tools developed at Safe Intelligence to address user-specific problems in deep validation and robustness.
• Conduct experiments to evaluate various approaches and weigh their respective trade-offs.
• Coordinate with the research and platform teams to guide future development based on use-case specific challenges.
• Contribute to the development of an efficient and scalable package for performing verification and robust learning.

Requirements:

• Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking.
• In-depth experience in training, evaluating and deploying state-of-the-art Machine Vision models.
• Experience talking to stakeholders in these models to understand their requirements.
• Familiarity with Python and the packages widely used in data science and machine learning.
• Familiarity with best practice in Machine Learning workflows and MLOps tools.
• Fluency in validation and evaluation framework and metrics frameworks for machine learning.

Additional beneficial experience includes:

• Experience in the Aviation, Mobility, Edge Devices, and/or Robotics industries.
• Experience on industrial real world deployment of Machine Learning solutions.

At a personal level we’re also looking for someone who is:

• Passionate about helping engineering teams achieve their AI and ML goals.
• Comfortable and energized in a fast-paced environment.
• Excited about interacting with others and digging in to help solve their problems collaboratively.
• Able to communicate clearly and efficiently with a variety of audiences.
• Fearless in getting 'hands-on' with technology and execution.
• Knowledgeable about modern software engineering processes.
• Collaborative with, and respectful of others on the team.
• Honest, straightforward and caring about each other’s well being.

Why Safe Intelligence is for you:

We strongly believe AI can bring great benefits to individuals and society, but these will only be achieved if the systems we build are safe to use. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI.

Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us.

Compensation & Benefits:

• Competitive compensation based on role and candidate experience.
• Stock option benefits.
• Mentoring, learning, and development allowance.
• Regular team social and work events.
• Flexible and generous holidays.

Equality and Inclusion:

We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive.

Location & Office Culture:

Safe Intelligence is based in London, UK, and we highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience.

How to apply:

Find us on LinkedIn and submit for this role. If you have any questions, please feel free to email join@safeintelligence.ai.

Not ticking every box on our list? If you don’t meet all the criteria but feel you have something special to bring to the table, we encourage you to apply anyway.