Machine Learning Engineer
Looking for a machine learning engineer job in San Jose? Choose from 31 open roles at 7 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The work spans two broad themes. One is applied modelling: building and fine-tuning deep learning models for search, recommendations, generative AI, content understanding, and retrieval, as seen in roles like the Machine Learning Engineer at Adobe and the Machine Learning Engineer 4, both of which work with multimodal foundation models and large-scale datasets across Adobe's creative products.
The second theme is infrastructure and platform engineering: designing distributed training frameworks, GPU scheduling, model-serving pipelines, and ML orchestration. The Staff ML Frameworks role and the Senior ML Platform Engineer are clear examples, both requiring deep Kubernetes and cloud infrastructure experience. At the most senior end, the Principal Machine Learning Engineer leads architecture across heterogeneous generative model pipelines including LLMs, diffusion models, and RAG systems. Agentic systems also appear explicitly across several titles, suggesting active work on autonomous AI workflows.
Python and PyTorch appear in the clear majority of these postings, and LLMs appear in nearly as many, reflecting the generative AI focus visible in the sample summaries. PhD is mentioned in more than half the postings as a stated or preferred qualification, and Master's degree appears in a substantial minority. These are mentions in job descriptions across a set of postings on this page, not a universal requirement list, so individual postings vary.
The strong majority of postings in this set are listed as onsite, with only a small number marked hybrid and none listed as remote. This pattern holds across the employers on this page, though work-mode labels do not always capture the full flexibility a team may offer in practice. Candidates who need hybrid or remote arrangements should confirm the working arrangement directly with each employer before applying, as the onsite label may reflect a default posting setting rather than a strict daily attendance requirement.
Jobs checked 14 minutes ago. · Guide reviewed 9 September 2026.
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