Analog is pioneering the era of physical intelligence, transforming the lived world by making cities adaptive, industries resilient, and services human-centered. At the heart of our approach are living world models, continuously updated and enriched by interactions, guiding the transformation of raw data into foresight and orchestration to improve outcomes across various sectors.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
As a Senior Research Engineer, you will be responsible for building AI systems capable of executing previously improbable tasks with exceptional performance. We seek individuals with robust engineering skills in designing, implementing, and improving large-scale distributed machine learning systems. Candidates should be proficient in writing bug-free machine learning code and building the underlying science of algorithms.
Responsibilities:
- Create high-performance implementations of deep learning algorithms.
- Work within large distributed systems.
- Provide technical perspectives to develop machine learning best practices and influence team culture.
- Have in-depth knowledge of the interaction between machine learning systems and their surrounding systems.
- Evaluate trade-offs among different machine learning models/systems and deploy best practices.
- Experience with data/feature engineering, training, evaluation, and deployment of ML models.
Qualifications:
- Experience running small-scale machine learning experiments.
- Strong understanding of system functionality and a proactive approach to enhance performance while minimizing complexity.
- Strong software engineering skills, with proficiency in Python.
- Comfortable collaborating with researchers to enable the development of next-generation models.
Culture and Benefits:
- A collaborative and globally minded team dedicated to building the future of physical intelligence.
- Engagement in impactful projects with national and global significance in sectors such as adaptive cities, resilient infrastructure, healthcare, and energy.
- Outstanding opportunities for learning and career development, collaborating with leaders across AI, robotics, mixed reality, and systems engineering.
- Competitive compensation package, including healthcare, education support, and generous leave benefits.
Work Conditions: On-site, Full-time.
If you meet the criteria above, we encourage you to contact us as soon as possible.
