Machine Learning Engineer

Machine Learning Specialist – Computer Vision

(High-Stakes Applications: Aviation, Mobility, Robotics, Edge Devices)

A pioneering AI safety company is on a mission to make artificial intelligence reliable, transparent, and safe for everyone to use. To help achieve this, the team is seeking Machine Learning Specialists with deep expertise in computer vision — particularly in object detection and tracking within high-stakes environments.

In this role, you’ll work at the intersection of applied research, customer collaboration, and product innovation. You’ll support R&D and product teams across industries such as aviation, mobility, robotics, and embedded systems, helping them validate and improve the performance of their machine learning models. You’ll also feed insights back into internal development to shape the next generation of robust ML validation tools.

Key Responsibilities

• Collaborate with customer engineering and research teams to evaluate and enhance computer vision model performance.
• Prototype and implement solutions for robustness, validation, and testing in applied ML projects.
• Design and run experiments to benchmark performance across architectures and metrics.
• Partner with internal research and platform teams to guide future product direction.
• Contribute to the development of scalable, efficient tools for ML verification and robust learning.

About You

You’re a hands-on ML engineer or researcher with strong experience in training, evaluating, and deploying advanced computer vision models. You enjoy solving real-world problems, communicating complex technical ideas clearly, and working collaboratively with diverse stakeholders.

Requirements

• Proven scientific or engineering contributions to object detection/tracking (e.g., publications in CVPR, ICCV, or ECCV).
• Deep experience with modern vision architectures such as YOLO, Vision Transformers, and EVA.
• Strong command of Python and core ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
• Familiarity with MLOps practices and evaluation metrics (Accuracy, Recall, F1, IoU, etc.).
• Excellent communication and problem-solving skills; ability to engage with both technical and non-technical audiences.

Bonus Experience:

• Background in Aviation, Mobility, Robotics, or Edge Computing.
• Experience deploying ML solutions in production or real-world environments.

What You’ll Gain

You’ll join a company working on one of the most important frontiers in AI — making machine learning trustworthy and dependable. You’ll have opportunities to influence both product direction and industry practices, supported by a culture that values curiosity, collaboration, and continuous learning.

Benefits

• Competitive salary and stock options.
• Learning & development allowance and mentorship opportunities.
• Flexible holidays and a strong focus on work-life balance.
• Regular team events and a collaborative environment that supports personal growth.

If you’re passionate about advancing computer vision and want your work to have a meaningful impact on the safety and reliability of AI systems, we’d love to hear from you.

Applications are welcome from candidates who may not meet every listed requirement but can demonstrate the potential to excel in this role.