Senior Machine Learning Engineer

Position Overview

• Location Type:
• Job Type: Full-Time
• Salary:

Aiwyn is the fastest-growing software company serving the accounting profession. Founded in 2020, we now work with 150+ of the largest CPA firms in the world. Our mission is to speed up cash flow, save Partner time, and deliver best-in-class client experiences by automating day-to-day firm operations with our Practice Automation solutions. Aiwyn is led by serial entrepreneurs with multiple exits and funded by top-tier investors. We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized.

Job Summary

We are seeking an experienced Senior Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with rapidly evolving modern AI software development tools/architectures while collaborating across frontend and backend teams (in a mostly Python stack) to ensure rapid iteration and deployment of AI solutions.

Key Responsibilities

• AI/ML Infrastructure & Architecture:
  • Design and implement scalable and efficient machine learning infrastructure to support the ingestion, processing, and interpretation of large document corpora.
  • Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
• AI/ML Development & Evaluation:
  • Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation and utility of complex datasets.
  • Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
• Generative AI Expertise:
  • Leverage deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
  • Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
• Modern Repository Management:
  • Utilize modern version control systems (e.g., GitHub) to manage code repositories, ensuring best practices in code quality, versioning, and collaboration.
• Industry Disruption:
  • Contribute to our mission to disrupt the industry by developing solutions that challenge the status quo and offer unprecedented value to our customers.
  • Engage with the internal AI/ML community to share knowledge, stay informed of emerging trends, and integrate innovative ideas into our work.

Qualifications

• 5+ years of experience in machine learning engineering, with a focus on AI/ML infrastructure.
• Proven expertise in working with Generative AI (GAI) and staying at the forefront of advancements in the field (i.e. Cursor, Claude Code, Taskmaster, etc…).
• Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
• Strong experience with modern version control systems (e.g., GitHub).

Skills

• Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
• Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, start-up environment.

Why You Might Love It Here

• Impact: Your work will directly shape the core of a product aiming to deliver huge efficiency improvements for CPAs.
• Autonomy & Ownership: We hire strong engineers and trust them. You'll have significant autonomy and ownership over your work.

About Aiwyn

Aiwyn is the fastest-growing software company serving the accounting profession. Founded in 2020, we now work with 150+ of the largest CPA firms in the world. Our “Job to be done”: speed up cash flow, save Partner time, & deliver best-in-class client experiences. We do this by automating day-to-day firm operations with our Practice Automation solutions. Aiwyn is led by serial entrepreneurs with multiple exits and funded by top-tier investors (Bessemer, KKR, & Revolution). We're passionate about building a remarkable company with world-class people, processes, and technology.

To learn more, visit our [website]([link to website]).