AI Research Engineer

This role is for one of the Weekday's clients

Min Experience: 6 years

JobType: full-time

As an AI Research Engineer, you will be responsible for designing, developing, and deploying advanced AI/ML models, contributing to fundamental research, and translating theoretical breakthroughs into practical, scalable systems. You will collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation and shape the future of our AI-driven products and services.

Requirements:
Key Responsibilities

• Conduct advanced research in machine learning, natural language processing (NLP), computer vision, reinforcement learning, generative AI, and other emerging AI domains.
• Design, develop, and optimize algorithms and models that push the state-of-the-art in AI and enable innovative product features.
• Translate research insights into real-world applications, ensuring scalability, efficiency, and robustness of AI solutions.
• Publish research papers, file patents, and contribute to the scientific community while driving innovation internally.
• Collaborate with engineering teams to integrate AI models into production systems, ensuring seamless deployment and monitoring.
• Evaluate and benchmark new tools, frameworks, and methodologies to maintain competitive advantage in AI innovation.
• Mentor junior engineers and researchers, guiding them in research practices, experimentation, and model development.
• Stay ahead of advancements in AI, leveraging new architectures, optimization techniques, and compute-efficient methods for large-scale AI systems.

Required Skills & Qualifications

• Experience: 6–15 years of proven expertise in AI/ML research and engineering roles, ideally within product-based or research-driven organizations.
• Strong academic background in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. A PhD or Master’s degree is highly preferred.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong foundation in algorithms, data structures, statistics, optimization, and probability theory.
• Proven experience in developing and deploying advanced machine learning models in areas such as:
• Natural Language Processing (NLP): LLMs, transformers, embeddings, semantic search, question answering.
• Computer Vision: CNNs, object detection, image generation, multimodal learning.
• Generative AI: Diffusion models, GANs, reinforcement learning with human feedback (RLHF).
• Reinforcement Learning & Autonomous Systems: Policy optimization, decision-making under uncertainty.

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• Experience working with large-scale datasets, distributed systems, and cloud platforms (AWS, GCP, Azure).
• Strong coding proficiency in Python, with experience in C++/Java being a plus.
• 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.

Preferred Attributes

• Passion for advancing the state-of-the-art in AI and applying research to solve real-world challenges.
• Ability to work in a fast-paced, innovation-driven environment with minimal supervision.
• Demonstrated leadership in driving AI research initiatives or leading small research teams.
• Curiosity-driven mindset with the ability to bridge theoretical concepts and practical engineering.