Senior Software Engineer II – Machine Learning
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Job Description
Senior Software Engineer developing AI-powered systems for risk and compliance at AuditBoard. Leveraging machine learning techniques and collaborating with product managers to deliver features.
Responsibilities:
- Design and implement AI-powered systems using a mix of classical ML techniques and modern LLM-based approaches, frequently leveraging managed Azure AI/ML services as building blocks.
- Apply a range of techniques—from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)—with a strong focus on reliability, performance, and maintainability
- Collaborate closely with product managers and designers to deliver high-quality, customer-focused features.
- Write clean, testable, well-documented code and contribute to shared engineering standards.
- Author clear design docs that explain system behavior, tradeoffs, and long-term implications.
- Debug and resolve production issues across application code, data, and ML components.
- Evaluate ML systems using metrics and real-world signals, and iteratively improve them.
- Participate fully in an Agile development lifecycle, contributing to planning, reviews, and retrospectives.
- Stay current on ML and software engineering best practices, adopting new tools thoughtfully and pragmatically.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field—or equivalent practical experience.
- 4+ years of professional software engineering experience, with meaningful exposure to machine learning in production systems.
- Strong ability to design and build scalable, production-quality software.
- Excellent programming skills in Python
- Hands-on experience applying machine learning models in real systems, including model integration, inference, and evaluation.
- Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
- Experience or interest in search, information retrieval, ranking, or recommendation systems.
- Product mindset: you care about user impact, not just technical elegance.
- Strong communication skills and comfort working cross-functionally.
- Preferred: Experience with Node.JS and TypeScript.
- Preferred: Experience working on SaaS web applications.
- Preferred: Basic understanding of distributed systems.
- Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure.
Benefits:
- Live your best life (LYBL)! $200/mo for anything that enhances your life
- Comprehensive employee health coverage (all locations)
- 401K with match (US) or pension with match (UK)
- Competitive compensation & bonus program
- Flexible Vacation (US exempt & CA) or 25 days (UK)
- Time off for your birthday & volunteering
- Employee resource groups
- Opportunities for team and company-wide get-togethers!
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