AI Engineer, Learn Engine: Intelligence & Optimization (US)
Hellyeah AI • San Francisco, CA
Company
Hellyeah AI
Annual salary
$200k – $300k/yr
Location
San Francisco, CA
Listed
38d ago
- Experience:
- 3+ years
- Workplace:
- 5 days in-office in San Francisco
- Equity:
- Competitive equity
On-site in San Francisco, CA.
Send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role.
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About this Role
You own the intelligence layer of Learn Engine, the part of Hellyeah's autonomous growth OS that decides what happens to a campaign. The platform engineer builds the tools; you build the decisions. The system manages real ad spend, so every decision you design is measured against returns.
You will feel at home here if you are the kind of engineer who is already tinkering with something new this week.
What you'll do
- Build the decision engine. Recommendation and scoring systems for bid changes, budget reallocation, pause and boost calls, and postback optimization.
- Design the learning loop. Define how the system learns from outcomes so campaign strategy improves over time rather than resetting.
- Write the policies. Optimization policies over noisy live data, from simple rule-based strategies through post-training and RL.
- Orchestrate agents. Design how multiple agents reason over campaign context and work together, and evaluate what they produce.
- Own the number. You are accountable for decision quality and for what the spend returns, not for platform plumbing or simulator infrastructure.
Frequently Asked Questions
How do I apply for the AI Engineer, Learn Engine: Intelligence & Optimization (US) role at Hellyeah AI? +
Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.
What does this Hellyeah AI role pay? +
The listing gives $200k – $300k/yr.
Is this role remote? +
The listing gives the location as San Francisco, CA. 5 days in-office in San Francisco.
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