The Opportunity: Build the Brains of Our AI Agents
Are you passionate about building and deploying machine learning models that don't just predict, but act? The next frontier of AI isn't just about building better models, but about creating intelligent agents that can reason, plan, and execute complex tasks.
At MAI, we're not just building tools; we're building the future of growth marketing. Our mission is to create a truly autonomous system that plans, executes, and optimizes media buying from end-to-end, powered by cutting-edge Agentic AI. As an early Machine Learning Engineer at MAI, you will be the architect of our agents' intelligence. You will have end-to-end ownership over the models that power our autonomous system—from training and fine-tuning state-of-the-art reasoning models to deploying them within a complex agentic framework. This is a unique opportunity to work on novel problems at the intersection of LLMs, reinforcement learning, and real-world decision-making, seeing your work directly translate into autonomous actions that drive value for our customers.
What You’ll Do
- Train and Fine-Tune State-of-the-Art Models: You will lead the end-to-end development of our core marketing and reasoning models. This involves fine-tuning advanced transformer models using a unique blend of marketing performance data, human feedback, and reinforcement learning techniques to create agents that can strategize and self-improve.
- Design and Build Agentic Systems: You will integrate your models into our core agentic platform. You'll work on the architecture that enables agents to perform complex reasoning, create plans, use tools (like APIs and code interpreters), and learn from the outcomes of their actions in a continuous feedback loop.
- Develop Advanced Signals and Features: You'll collaborate with our engineering and data science teams to transform raw, multi-platform data into powerful signals. You will own the feature engineering and data pipelines that are crucial for training highly performant models and giving our agents a deep understanding of the marketing landscape.
- Deploy and Optimize for the Real World: You will own the full lifecycle of your models in production. This includes everything from model evaluation and optimization (e.g., quantization, efficient inference) to building the MLOps systems required for continuous deployment, monitoring, and retraining.
- Collaborate on a World-Class Product: You'll partner with software engineers to ensure your models work seamlessly within our customer-facing products, including our chat UI and the tools our agents use, delivering a truly intelligent and reliable user experience.
What You'll Bring
- A Master’s degree or PhD’s degree in Computer Science, Statistics, or a related quantitative field, OR a Bachelor's degree with 2+ years of specialized experience in machine learning.
- Strong proficiency in Python and deep hands-on experience with modern ML frameworks like PyTorch, JAX, or TensorFlow.
- A strong foundation in machine learning theory and practice, with a deep passion for building AI-native solutions to complex problems.
- The ability to thrive in a fast-paced environment where you can navigate ambiguity and take ownership of open-ended projects.
We’d be especially excited if you have experience in:
- ML models / LLM Development: Familiar with common ML / deep learning training & serving frameworks. Directly training, fine-tuning and deploying large language models.
- Agentic Frameworks: Building with or contributing to frameworks like LangGraph, or developing custom systems that combine LLMs with external tools.
- Data Engineering & MLOps: Building production-grade data pipelines and deploying models in a cloud environment.
Why You’ll Love Working at MAI
- Unparalleled Learning: You'll be on the frontier of applied AI, solving novel challenges in training reasoning models and building autonomous agents that learn and self-improve in the real world.
- High Impact: As an early member of a lean and powerful team, your work will directly define the intelligence of our product and the success of our customers.
- A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.
- True Ownership: We believe in empowering our team. You'll have significant autonomy over the modeling lifecycle and a clear path for growth as the company scales.
Are you ready to build the future with us? We can't wait to hear from you.
