仕事内容
<p>The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, they propose the architecture, build it with support from other engineers, and are accountable for whether it holds up in the environments our customers depend on.</p>
<p>Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like <a href="https://scale.com/blog/meet-the-legend-behind-the-name-scale-donovan">Donovan</a> and <a href="https://scale.com/blog/thunderforge-ai-for-american-defense">Thunderforge</a>. Our work spans multiple modalities, with our primary focus on agentic systems built on large language models. We are developing agents that solve complex operational and planning challenges for government partners: agent frameworks that integrate custom retrieval pipelines and production APIs, memory and context-management systems that hold state across long-running tasks, geospatial reasoning over maps and spatial data, and the evaluation tooling that benchmarks and refines agent behavior. We also apply reinforcement learning in targeted places where it earns its keep, and our computer vision work advances evaluation, labeling efficiency, and multimodal model training in support of defense applications.</p>
<p>As a Senior MLE, you'll have design authority over a capability area - the final say on the patterns used within your team, and the responsibility to make those patterns work under real constraints: classified environments, limited compute, and correctness requirements that don't bend.</p>
<h3>You will:</h3>
<ul>
<li>Own the design and delivery of agent capabilities end to end - architecture, implementation, and the evaluation that proves they work</li>
<li>Def
求めるスキル
Python
PyTorch
TensorFlow
LLM
AWS
GCP
NLP
Computer Vision