Senior Staff Engineer, ML Ops (R4941)
New
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
Looking for a machine learning engineer job in San Mateo? Choose from 21 open roles at 7 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
Free. No credit card needed.
The roles divide broadly into two clusters: infrastructure-heavy positions and applied ML positions. On the infrastructure side, the Senior Staff Engineer, ML Ops at Shield AI centres on designing a Kubernetes-native architecture for distributed training, evaluation, and deployment of autonomy systems, working across GPU infrastructure, PyTorch-based training frameworks, and Infrastructure as Code. The Engineering Manager, ML Infrastructure, Ads at Roblox shifts toward people leadership, owning model training pipelines, feature engineering, and inference systems at large scale while managing a team of engineers.
On the applied side, the Senior ML Engineering Manager, Text Safety at Roblox involves building AI systems for real-time harmful-content detection using language models. Other titles in the set point to recommendation systems, 3D data, ads delivery, embodied AI and NPC behaviour, and asset safety, suggesting Roblox's ML footprint spans multiple product areas. Principal and Distinguished-level titles indicate that individual-contributor depth is valued alongside managerial paths.
The skills table covers mentions across all postings in this sample, not formal requirements. GPU-related work and PhD credentials appear in roughly the same proportion of postings, suggesting research-oriented and systems-heavy expectations often coexist. Python, LLMs, Kubernetes, and model evaluation each appear in around a third of postings. PyTorch, C++, Spark, and cloud platforms (GCP, AWS) appear in a minority. A small sample means these counts reflect emphasis, not industry-wide norms.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Almost all postings on this page are listed as onsite; only a small number are described as hybrid. None are listed as remote. This pattern holds consistently across the employers shown, though the postings themselves rarely elaborate on what onsite or hybrid means in practice — for example, whether hybrid carries a fixed number of days in office. Candidates who need flexibility should confirm working arrangements directly with each employer, as stated expectations may differ from day-to-day practice.
Jobs checked 45 minutes ago.
Search by role, company, or anything a posting mentions.
