AI Engineer — Learn Engine: Intelligence & Optimization

Posted 23 Days Ago
2 Locations
Hybrid
Mid level
Artificial Intelligence • Big Data • Marketing Tech • Software
The Role
Develop AI systems for optimizing ad spend, creating intelligent recommendation and decision engines that learn and improve over time.
Summary Generated by Built In

Build the brain of an autonomous growth OS. The system you create will manage millions in ad spend and get measurably smarter with every dollar. This is the moat — every competitor has humans optimizing campaigns manually. You are building the intelligence layer that compounds. The Platform engineer creates the tools, you create the decisions. Together you build something nobody else has.
Must Have:
Has built recommendation, optimization, or decision systems where outputs improve future inputs.

  • Strong statistical reasoning and experimentation judgment under noisy real-world data.

  • Strong LLM orchestration or agent-system experience for reasoning over campaign context.

  • Can design optimization policies, scoring systems, or automated recommendation loops.

  • AI-first development workflow and ability to ship production systems quickly.

Nice to Have:
Ad-tech optimization patterns (bid management, budget allocation, ROAS optimization)

  • Reinforcement learning (RL) experience is a plus

  • Hyperparameter optimization (HPO) experience is a plus

  • Model fine-tuning experience is a plus

  • Experience building agent-driven automation (LLM agents that take actions)

  • Background in growth engineering, performance marketing, or data science

  • Experience with Mastra or similar agent orchestration framework

Own the intelligence and optimization layer of Learn Engine. Build recommendation engines for bid changes, budget reallocation, pause/boost decisions, and postback optimization. Turn SSOT campaign data into high-quality optimization guidance and closed-loop decision systems. Define how the system learns from outcomes and continuously improves campaign strategy over time. This role owns decision quality, optimization policy, and learning loops — not platform plumbing or simulator infrastructure.

Skills Required

  • Built recommendation, optimization, or decision systems
  • Strong statistical reasoning and experimentation judgment
  • Experience in designing optimization policies and systems
  • Ability to ship production systems quickly
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
0 Employees
Year Founded: 2026

What We Do

Hellyeah AI is an AI-native growth engine that accelerates marketing teams with autonomous digital workers. The company focuses on building reliable, scalable big data systems and AI-driven products, leveraging agentic frameworks and prompt engineering to influence business operations and decision-making. They empower engineers to think like founders, fostering a culture of autonomy, creative problem-solving, and high standards for technology and product design.

Similar Jobs

Circle Logo Circle

Director, Arc - Capital Markets Strategy & GTM

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
In-Office or Remote
25 Locations
1050 Employees
213K-273K Annually

Circle Logo Circle

Senior Director, Arc - Agentic Commerce Strategy & GTM

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
In-Office or Remote
25 Locations
1050 Employees
245K-308K Annually

Ericsson Logo Ericsson

Development Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Santa Clara, CA, USA
88000 Employees
191K-251K Annually

Metropolis Technologies Logo Metropolis Technologies

Security Engineer

Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Easy Apply
In-Office
Los Angeles, CA, USA
23100 Employees
105K-150K Annually

Similar Companies Hiring

Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account