Job Description:

• Location: San Francisco and Across United States (Remote/Hybrid/Onsite)

• Start Date: 1st May, 2025.

• Employment type: Full-Time

• Open

Job Overview:
We are looking for a Research Scientist – AI to drive cutting-edge advancements in artificial intelligence and machine learning. This role requires deep expertise in AI, a strong mathematical foundation, and experience in developing innovative models and algorithms. You will work on state-of-the-art research, collaborating with engineers and scientists to solve complex real-world problems.

As a Research Scientist, you will contribute to publications, patents, and AI-driven products while staying at the forefront of emerging technologies. Your work will involve designing, training, and optimizing models for applications such as NLP, computer vision, reinforcement learning, or generative AI.

Key Responsibilities:

• Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning

• Develop and optimize ML/DL models for real-world applications

• Design and implement new algorithms, architectures, and training techniques

• Publish research in top-tier conferences and journals (NeurIPS, ICML, CVPR, etc.)

• Collaborate with engineers and scientists to bring research into production

• Work with large-scale datasets and optimize training pipelines

• Implement and fine-tune state-of-the-art models in NLP, computer vision, or reinforcement learning

• Stay updated with emerging AI trends and contribute to open-source research

Qualifications

Education: 

PhD or Master’s in Computer Science, AI, Machine Learning, or related field

Experience:

• 2+ years of experience in AI/ML research (academic or industry)

• Strong expertise in deep learning frameworks (TensorFlow, PyTorch, JAX)

• Experience in natural language processing (NLP), computer vision, or reinforcement learning

• Solid understanding of mathematics, optimization, and probabilistic modeling

• Experience with large-scale datasets, distributed computing, and cloud platforms

• Proven record of publishing in AI/ML conferences is a plus

Skills:

• Expertise in machine learning, deep learning, and AI algorithms

• Strong programming skills in Python, C++, or Java

• Experience with TensorFlow, PyTorch, or JAX

• Knowledge of statistical modeling, optimization, and probability theory

• Experience with large-scale data processing (Spark, Hadoop, GPUs, TPUs)

• Strong problem-solving, analytical thinking, and research mindset

• Ability to collaborate with multidisciplinary teams and drive innovation