Machine Learning Engineer

3 weeks ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Derq Full time
Derq is an MIT spinoff powering the future of connected and autonomous roads, enhancing road safety and traffic management through our AI-driven smart infrastructure platform. Recently, we secured strategic investments from e& Capital and AT&T Ventures, fueling our growth and mission to make cities smarter and safer. We're a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility.
Joining us means being at the forefront of smart infrastructure innovation, working alongside industry experts, and directly impacting road safety and autonomous technology. Together, we're creating a safer, smarter, and more sustainable future. We recently won the USDOT Intersection Safety Challenge, further showcasing our commitment to cutting-edge solutions that enhance road safety.
Role Overview:
As a Machine Learning Engineer, you'll play a key role in designing and deploying real-time intelligent systems that power the future of connected and autonomous roads. This is your opportunity to work on impactful mobility problems, contribute to groundbreaking solutions, and collaborate with an elite team of innovators.
This is a remote role

, giving you the flexibility to contribute from anywhere while working on impactful mobility problems.
Key Responsibilities:
Design and develop advanced machine learning and deep learning models using sensor data from vehicles and roadway infrastructure.
Build and maintain scalable software pipelines for computer vision applications including data curation, model training, testing, and deployment.
Solve challenging traffic-related problems through innovative ML and CV approaches.
Develop cost-efficient and intelligent solutions for video-based inference at the edge.
Train and optimise deep learning models for performance, accuracy, and real-world deployment.
Collaborate closely with a cross-functional team of engineers, researchers, and domain experts to drive innovation and product development.
Requirements / Experience:
2+ years of hands-on experience in Machine Learning and Computer Vision
Strong proficiency in Python / C++, with solid software engineering practices (modular code, testing, version control)
Proven experience in training and optimising deep learning models, designing custom loss functions, and tuning hyper parameters on real-world data
Solid foundation in ML principles, probability, statistics, linear algebra, and algorithm design
Familiarity with Kalman filters, motion models, and state estimators
Experience with sensor fusion (RGB, thermal, depth) and geometric computer vision techniques (e.g., optical flow, stereo vision) is a plus
Practical knowledge of deep learning frameworks and NVIDIA toolkits
Ability to work cross-functionally and contribute to innovative, real-world solutions
Education:
M.S. or B.S. in Computer Science or a related field
Join us in redefining the future of roadways and creating smarter, safer cities for everyone.
Seniority level

Associate
Employment type

Full-time
Job function

Information Technology
Software Development
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