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Stanford University is seeking a 1 year fixed term ML Engineer (Software Developer 1) to design, develop, and deploy machine learning systems for research and applied AI initiatives. The ideal candidate combines strong software engineering skills with deep expertise in deep learning, mechanistic interpretability, and natural language processing. This role involves building and maintaining ML pipelines, developing novel model architectures, conducting research publishable at top-tier venues, and collaborating with interdisciplinary teams to advance AI-driven scientific discovery and information retrieval capabilities in computational biology.
Ph.D. or M.S. in Computer Science, Machine Learning, or a closely related field. Strong publication record. Expertise in deep learning frameworks (PyTorch, TensorFlow), transformer architectures, and mechanistic interpretability. Experience with LLM-based systems including RAG pipelines, chain-of-thought reasoning, and modern agentic frameworks (e.g., LangChain, LangGraph, CrewAI). Proficiency in Python and experience with distributed computing and API development (REST, GraphQL or gRPC). Background in feature attribution methods, graph neural networks, and computational biology applications. Strong communication skills with the ability to present research to both technical and non-technical audiences.
Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.
None.
May work extended hours, evening and weekends.
The expected pay range for this position is $113,148 to $137,516 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.