Remote AI Research Engineer

Description:

• The AI Research Engineer role is a full-time position requiring a minimum of 6 years of experience.
• Responsibilities include designing, developing, and deploying advanced AI/ML models, contributing to fundamental research, and translating theoretical breakthroughs into practical, scalable systems.
• The engineer will collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation and shape the future of AI-driven products and services.
• Key responsibilities involve conducting advanced research in machine learning, natural language processing (NLP), computer vision, reinforcement learning, generative AI, and other emerging AI domains.
• The role includes designing, developing, and optimizing algorithms and models that push the state-of-the-art in AI and enable innovative product features.
• The engineer will translate research insights into real-world applications, ensuring scalability, efficiency, and robustness of AI solutions.
• Responsibilities also include publishing research papers, filing patents, and contributing to the scientific community while driving internal innovation.
• The engineer will collaborate with engineering teams to integrate AI models into production systems, ensuring seamless deployment and monitoring.
• Evaluating and benchmarking new tools, frameworks, and methodologies to maintain a competitive advantage in AI innovation is also part of the role.
• Mentoring junior engineers and researchers in research practices, experimentation, and model development is expected.
• Staying ahead of advancements in AI by leveraging new architectures, optimization techniques, and compute-efficient methods for large-scale AI systems is crucial.

Requirements:

• A minimum of 6–15 years of proven expertise in AI/ML research and engineering roles, ideally within product-based or research-driven organizations is required.
• A strong academic background in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline is necessary, with a PhD or Master’s degree being highly preferred.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX is essential.
• A strong foundation in algorithms, data structures, statistics, optimization, and probability theory is required.
• Proven experience in developing and deploying advanced machine learning models in areas such as Natural Language Processing (NLP), Computer Vision, Generative AI, and Reinforcement Learning & Autonomous Systems is necessary.
• Experience working with large-scale datasets, distributed systems, and cloud platforms (AWS, GCP, Azure) is required.
• Strong coding proficiency in Python is essential, with experience in C++/Java being a plus.
• A track record of publications in top-tier AI/ML conferences or journals (NeurIPS, ICML, CVPR, ACL, AAAI, etc.) is highly desirable.
• Excellent problem-solving, analytical thinking, and communication skills are required.

Benefits:

• The position offers the opportunity to work on cutting-edge AI technologies and contribute to significant advancements in the field.
• Employees will have the chance to collaborate with talented professionals across various disciplines, fostering a culture of innovation.
• The role provides opportunities for professional growth and development through mentoring and leadership experiences.
• Employees can expect a dynamic work environment that encourages creativity and the application of research to real-world challenges.
• The company supports continuous learning and staying updated with the latest advancements in AI.