Are you passionate about the cutting edge of machine learning and eager to shape the future of AI-driven technologies? Join our dynamic team as a Core ML Researcher, where you’ll work at the forefront of innovation, driving research that powers the next generation of machine learning models and algorithms.

As a Core ML Researcher, you will be part of a fast-paced, collaborative environment that thrives on groundbreaking discoveries. You'll be responsible for developing advanced machine learning models, optimizing algorithms, and contributing to the implementation of state-of-the-art technologies that solve real-world problems.

Key Responsibilities:

• Conduct High-Level Research: Explore new areas of machine learning, from deep learning and reinforcement learning to unsupervised learning, applying your research to practical solutions.
• Develop Algorithms: Design and implement novel algorithms that push the boundaries of machine learning, focusing on improving accuracy, efficiency, and scalability.
• Collaborate Across Teams: Work closely with data scientists, software engineers, and product managers to integrate your research into production-ready systems.
• Stay Ahead of the Curve: Continuously research and analyze the latest advancements in machine learning and artificial intelligence to keep our models at the cutting edge.
• Mentor and Guide: Provide expertise and guidance to junior researchers and engineers, helping to elevate the overall knowledge and capability of the team.

Required Skills & Qualifications:

• Ph.D. or Master’s in Computer Science, Machine Learning, AI, or a related field: A strong academic background and practical experience in cutting-edge ML technologies.
• Expertise in Core ML Areas: Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), reinforcement learning, optimization, and large-scale ML systems.
• Research Acumen: Proven ability to conduct high-level academic and applied research with published papers or patents.
• Programming Skills: Proficiency in Python, C++, or similar languages, with experience in software engineering principles for building scalable ML systems.
• Creative Problem Solving: Ability to think outside the box and approach problems with innovative solutions.
• Collaboration Skills: Strong communicator who enjoys working in a multidisciplinary environment.

Nice-to-Have:

• Experience with distributed computing frameworks (e.g., Hadoop, Spark).
• Knowledge of cloud technologies (e.g., AWS, Google Cloud, Azure).
• Experience with deploying machine learning models in real-world applications.
• Published research in top-tier machine learning conferences (e.g., NeurIPS, ICML, CVPR).

Why Join Us?

• Cutting-Edge Research: Be at the forefront of the AI revolution, contributing to the development of groundbreaking technologies that will shape the future.
• Innovative Work Environment: Work in a collaborative and inclusive team where your ideas are valued, and your contributions can make a direct impact.
• Professional Growth: Engage in continuous learning opportunities, with access to resources that will help you expand your skill set and grow your career.
• Competitive Compensation: We offer an attractive salary, performance bonuses, and comprehensive benefits to ensure your well-being both at work and outside of it.