Senior Machine Learning Scientist

Ph.D. or equivalent experience in Machine Learning, Computer Science, or a related field.
5+ years of industry research experience in machine learning or AI.
Strong track record of research contributions, demonstrated through publications in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL).
Expertise in large language models (LLMs), including training, fine-tuning, and deploying transformer-based architectures.
Experience working with large-scale datasets and training models with billions of parameters on distributed computing infrastructure.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
Hands-on experience with large distributed training jobs using frameworks such as DeepSpeed or FSDP.
Strong problem-solving skills and ability to translate research into real-world applications.
Excellent written and verbal communication skills, with the ability to present technical concepts to diverse audiences.

Lead cutting-edge research in machine learning and AI for multi-agent systems, with a focus on e-commerce automation.
Develop and train foundational models tailored for small business operations, including product launches, consumer research, and B2B sourcing.
Collaborate with product and engineering teams to identify and implement high-impact ML innovations.
Design and conduct model benchmarks to evaluate model performance, iterating based on findings.
Utilize proprietary consumer and product data to train models that provide actionable insights and automation capabilities.
Mentor and guide junior researchers and engineers in best practices for machine learning research and implementation.

Experience in AI-driven automation for e-commerce, supply chain optimization, or related fields.
Prior experience in developing AI-powered agent-based systems.
Exposure to startup environments and a willingness to work in a fast-paced, dynamic setting.
Background in applied ML research within an industry setting.