Software Engineer (New Grad)

Reposted 24 Days Ago
Mountain View, CA
In-Office
90K-140K Annually
Junior
AdTech • Artificial Intelligence • Information Technology • Software
The Role
As a New Grad Software Engineer, you will architect and prototype solutions, contribute to essential infrastructure, and tackle complex AI challenges in a small team.
Summary Generated by Built In
About Us

At MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.

Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day and we couldn’t be more excited about building the future of growth marketing.

Why Join Now

While traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.

As a New Grad Software Engineer at MAI, you won't just be writing code; you'll contribute to helping architect the entire ecosystem where our AI agents live, learn, and operate. You will have a unique opportunity to apply your deep research expertise to real-world, high-impact problems.

This is a rare opportunity to build a truly AI-native product from the ground up and solve problems at the forefront of the industry.

You won't just be a cog in a large machine. You'll learn how to be an athlete on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We're in the early days of forming three core teams:

  • Product Engineering & Infrastructure

  • AI Platform & Foundation

  • Agent Application & Quality

You'll have the unique chance to learn and grow your skillset. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming a more well-rounded engineer.


What You’ll Do
  • Architect and Prototype Novel Solutions: You will apply your advanced research skills to design and prototype new features for our core agentic platform, exploring cutting-edge algorithms and architectures to improve our autonomous agents' capabilities. This isn't just about building, it's about inventing.

  • Contribute to a Robust Platform: Design, build, and maintain the critical infrastructure that supports our autonomous agents, focusing on scalability, reliability, and performance.

  • Tackle Complex Challenges: Solve novel, ambiguous problems at the intersection of AI, large-scale systems, and high-stakes performance marketing.

  • Collaborate and Grow: Work closely with a world-class team of engineers and researchers, engaging in design discussions, code reviews, and knowledge sharing to advance our collective understanding of agentic systems.

What You'll Bring
  • A Master’s or PhD’s degree in Computer Science or a related quantitative field, OR a Bachelor's degree with strong internship, project-related software engineering experience.

  • A strong theoretical foundation and a proven ability to conduct and apply original research.

  • Proficiency in a modern programming language (e.g., Python).

  • Passion for turning groundbreaking research into robust, scalable production systems.

Bonus points for experience in any of the following:

  • Machine Learning/AI: Experience implementing or fine-tuning models from research papers, or a strong publication record in top-tier conferences.

  • Large Language Models (LLMs): Hands-on experience with LLM-based systems, including a deep understanding of their underlying architectures and challenges like hallucination or prompt engineering.

  • Complex Systems: Experience designing and debugging large-scale distributed systems or data pipelines.

Why You’ll Love Working at MAI
  • Unparalleled Learning: You'll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.

  • High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, our culture, 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.

  • Ownership: We believe in empowering our team. You'll have autonomy over your work with mentorship support from an assigned team member.

Compensation and Benefits:

We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:

  • Salary: A base salary range of $90,000 to $140,000.

  • Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.

  • Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.

  • 401(k): We'll help you build for your future with a competitive 401(k) program.

Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.

Top Skills

AI
Machine Learning
Python
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The Company
HQ: Cupertino, CA
23 Employees
Year Founded: 2024

What We Do

MAI was founded by technologists and operators who spent over a decade building ad platforms and e-commerce engines. They saw that growth-stage businesses often lacked access to the advanced growth technology powering the largest platforms, and set out to change that.

Today, a rapidly growing network of D2C brands and apps rely on MAI’s intelligent agents to simplify marketing complexity, uncover actionable insights, and autonomously drive measurable results.

Backed by Tier-1 VCs, MAI is pioneering autonomous growth agents that bring advanced data science and machine learning to every business, and work around the clock to help them reach their full growth potential.

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