Senior Product Engineer
Posted May 6, 2026
As a candidate for this role, you will be expected to have a degree in computer science or a related quantitative field from Tier 1 colleges, or relevant experience in the field. You should have at least 5 years of deep learning experience with a proven track record on technically fast-paced projects. Additionally, familiarity with cloud deployment technologies such as Kubernetes or Docker containers is required. Key Responsibilities:
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Experience with large language models such as GPT-3 Pathways, Google BERT, Transformer, and deep learning tools like TensorFlow, Torch. - Proficiency in software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. - Ability to effectively communicate with users, technical teams, and product management to understand requirements and describe software product features and technical designs. - Directly managing a team of high-caliber machine learning engineers and data scientists. - Experience with multi-modal ML, including generative AI. - Interest and consideration of the impacts of AI technology. - Genuine passion for AI. Qualifications Required:
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Degree in computer science or related quantitative field from Tier 1 colleges or relevant experience. - Minimum of 5 years of deep learning experience. - Familiarity with cloud deployment technologies like Kubernetes or Docker containers. - Proficiency with large language models and deep learning tools. - Experience in software engineering best practices and managing technical teams. Please note that the above job description does not include any additional details about the company. As a candidate for this role, you will be expected to have a degree in computer science or a related quantitative field from Tier 1 colleges, or relevant experience in the field. You should have at least 5 years of deep learning experience with a proven track record on technically fast-paced projects. Additionally, familiarity with cloud deployment technologies such as Kubernetes or Docker containers is required. Key Responsibilities: