As an AI Engineer, you'll build the harnesses, agents, and fine-tuned models that bring generative AI into our products and internal workflows.
Locations (2)
San Mateo, California, United States
New York, United States
Compensation
The base salary (fixed) for this role ranges from $178,500 to $222,000 USD (min to max of base salary). This salary range is applicable to our offices located in California and New York*
Responsibilities
Build a system that turns brand guidelines into ad creatives, then keeps improving them from live campaign performance
Build an agent that speeds up ML research for our Applied Scientists
Turn signals such as creative performance and developer feedback into training data, so our systems keep getting better after launch
Own projects from framing the problem and defining success through shipping and iterating in production
Define what “good” looks like for systems without an obvious metric, and build the evals and annotation processes to measure it
Requirements
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience
Nice to have: Understanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs)
Nice to have: Contributions to open-source GenAI projects (LLaMA-Factory, verl, opencode, OpenResearch)
Nice to have: Public work in LLMs, diffusion models, reinforcement learning, or agents (publications, write-ups, or talks)
Nice to have: Experience with large-scale GPU training and serving (distributed training and inference optimization)
Lead offensive security campaigns using AI-enabled tools to identify and remediate vulnerabilities across cloud, infrastructure, identity, and application environments.
Locations (3)
New York
San Francisco
Seattle, Washington, United States
Compensation
$160,000—$190,000 USD
Responsibilities
Plan and execute red team campaigns and adversary simulations
Own scope, timelines, evidence, and reporting for workstreams
Emulate real-world attacker behaviour across infrastructure, identity, endpoints, and applications
Build agentic workflows that orchestrate multiple models and tools
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