Engramme

United States
13 Total Employees
Year Founded: 2025

Jobs at Engramme

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Recently posted jobs

18 Hours AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Marketing Tech • Software • Automation
Engram builds models that create compact, personal "engrams" (memories) to make AI context-aware and efficient. This posting invites interested candidates to submit an expression of interest for future roles or opportunities.
18 Hours AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Marketing Tech • Software • Automation
Design and evaluate methods for compact parametric memory, synthetic data and self-study pipelines, continual learning, RL/online training, and empirical scaling studies. Build experiments, evals, and production-ready research that spans research and systems engineering.
18 Hours AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Marketing Tech • Software • Automation
Serve as the front-of-house contact and day-to-day office operator: greet visitors, manage inbox and room calendars, maintain kitchen and supplies, coordinate deliveries and team meals, and plan culture-building events and celebrations. Ensure conference rooms are prepped, NDAs managed, and office operations run smoothly to support a positive workplace experience.
18 Hours AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Marketing Tech • Software • Automation
Design, optimize, and scale training and inference workloads for personalization and continual learning. Productionize research prototypes, improve latency/reliability/efficiency, optimize per-user serving and memory retrieval, and work on distributed training across GPUs and nodes. Collaborate with researchers, platform engineers, and customers; establish engineering practices, testing, on-call, and security posture.
18 Hours AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Marketing Tech • Software • Automation
Design and implement data infrastructure for personalization and continual learning APIs: secure storage for user context and per-user model weights, ingestion and preprocessing pipelines for continual training, data observability and quality controls, reliable integrations with customer APIs, and establish engineering standards for security, testing, and on-call while helping grow the engineering team.