Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.
Requirements
- 15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership
- Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)
- Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)
- Strong software engineering fundamentals: you write production-quality code, not just notebooks
- Track record of organization-wide technical influence—setting standards, driving architectural decisions, mentoring engineers
- Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives
- Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction
- Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built
- NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval
- LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods
- Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets
- MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability
- Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts
- Preferred: Experience with transformer architectures, fine-tuning, or training custom models
- Background in retail, e-commerce, or product data domains
- Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases
- Track record of introducing AI-augmented workflows to teams or organizations
- Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
