About the Company

We are working with a frontier R&D company at the cutting edge of technology, focused on developing transformative solutions in computer vision, camera, and sensor data. The work combines the latest in AI/ML research with real-world applications to redefine the future of intelligent systems.

We are looking for a passionate and highly skilled Machine Learning Researcher/Engineer to join us and work with an elite team. If you are driven by innovation, enjoy solving complex problems, and thrive in a fast-paced, collaborative environment, we’d love to hear from you.

Key Responsibilities:

Model Development

• Design and implement state-of-the-art machine learning models, including transformer-based LLMs, GANs, diffusion models, and RNNs (e.g., LSTMs), tailored to computer vision and sensor data.
• Develop predictive models for time series analysis from sensor and camera data.

Research and Prototyping

• Explore cutting-edge techniques in generative AI and predictive analytics to solve real-world challenges in computer vision.
• Publish research findings internally and integrate them into production-ready solutions.

Data Analysis

• Process, clean, and analyze large datasets collected from computer vision systems, cameras, and other sensors.
• Create innovative data representations to enhance the accuracy of generative and predictive models.

Collaboration

• Work closely with a multidisciplinary team of engineers and researchers to integrate AI models into larger systems.
• Provide technical mentorship and guidance to junior engineers.

Qualifications:

Technical Expertise

• Proven experience with transformer-based architectures (e.g., GPT, BERT, Vision Transformers).
• Hands-on expertise in generative ML techniques, including GANs, VAEs, and diffusion models.
• Proficiency in predictive analytics using LSTMs and advanced time series analysis.
• Solid understanding of computer vision principles and experience with vision datasets.

Programming & Tools

• Proficiency in Python and standard machine learning frameworks (PyTorch, TensorFlow).
• Familiarity with libraries like Hugging Face, OpenCV, and NumPy.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for model training and deployment.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields.
• Ph.D. or published research in a relevant domain is a big plus.

Other Skills

• Strong analytical and problem-solving skills.
• Excellent communication skills to present research and findings effectively.
• Ability to thrive in a research-focused, collaborative environment.

Preferred Experience

• Preferably with over 5+ years of relevant experience
• Knowledge of sensor fusion techniques and working with multimodal datasets.
• Experience in handling camera data and developing real-time AI solutions.
• Background in working for startups or R&D-focused organizations.

Company perks and benefits:

• Opportunity to travel abroad for immersion
• Paid certification trainings
• Career development

Send your CV and a brief introduction of your expertise to [email protected].

Please include links to relevant projects, GitHub repositories, or research publications if available.

Please refer to job description.