Machine Learning Specialist - Computer Vision (London Area)

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, and we’re hoping it’s you!

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. 

The role has significant 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. 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. This can range from inputs to product to working on the product itself. 

Working knowledge or contributions to state-of-the-art machine vision models including object detectors as used in applications is required. Previous knowledge of Machine Learning verification isn’t required, but a solid knowledge of existing testing practices, metrics, state-of-the-art training and validation methods are extremely valuable.

We’re looking forward to having you on board!

Responsibilities: As a Safe IntelligenceMachine Learning Specialist - Computer Vision, you will:

• Work closely with customers and end-users to understand their machine vision models and help them assess performance. Generally these will be R&D and product teams at customer organisations including leading teams in major companies in Aviation, Mobility, Robotics, and Edge Devices 
• Implement prototypes, use cases, and solutions that apply the algorithms developed at Safe Intelligence to address user-specific problems, particularly in the field of machine vision for Aviation, Mobility, Robotics and Edge Devices.
• 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: The technical requirements for the role are:

• Experience in training, evaluating and deploying Machine Vision models, including standard architectures such as Yolo, Vision Transformer architectures, and Eva. 
• An in-depth understanding of machine learning models  enabling you to train such models to high performance and modify/tune their architecture based on given constraints.
• Experience talking to stakeholders in these models to understand their requirements and guiding them through what is and is not possible or desirable in a model.
• Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
• Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and others.

Additional beneficial experience includes:

• Familiarity with best practice in Machine Learning workflows and MLOps tools.
• Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries.

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

• Passionate about helping engineering teams achieve their AI and ML goals.
• Excited about interacting with others and digging in to help solve their problems collaboratively.
• Technical and constantly in a state of learning.
• Able to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives.
• Fearless in getting hands-on with technology and execution.
• Knowledgeable about modern software engineering processes.
• Comfortable with ambiguity with a drive for clarity.
• 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. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. 

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. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. 

Compensation & Benefits

Safe Intelligence provides competitive compensation based on role and candidate experience. We aim to be competitive with pay rates. 

Company benefits for all roles include:

• Stock option benefits 
• Mentoring, learning, and development allowance 
• Regular team social and work events 
• Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. 

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. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. 

Location & Office Culture

Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. 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.

Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). 

Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!