MLabs is looking to solve the problem of equipping accountants with autonomous AI Agents to tackle real workflows, and is seeking an Applied ML Engineer to take ownership of end-to-end projects to achieve this goal.
Requirements
- Experience: 3 to 10 years of experience developing complex data-heavy products and Machine Learning models
- Technical Stack: Strong proficiency in Python and experience with database systems like Postgres
- Engineering Fundamentals: Strong software engineering fundamentals and the ability to instrument deeply and design for clarity
- AI/ML Experience: Experience designing and implementing systems that leverage LLMs or complex machine learning models in production
- Autonomy & Ownership: Proven ability to operate with full autonomy, taking ownership from first principles to successful delivery
Responsibilities
- Agent System Evolution: Design and iterate on multi-agent architectures that automate complex, real accounting workflows. Encode autonomy boundaries, tool usage, and fallback behaviors to make agents safe and reliable.
- Evaluation & Experimentation: Build scalable evaluation pipelines (offline and online) to automatically run hundreds of experiments. Define golden tasks, labeling strategies, and metrics to track regressions, error taxonomies, and drive closed-loop improvement.
- Context & Retrieval Engineering: Architect prompt stacks and instruction hierarchies to structure model reasoning. Build retrieval and indexing pipelines that surface context efficiently, including parsing messy documents into structured representations.
- Model Optimization: Route, evaluate, and optimize models under real-world constraints (latency, cost, accuracy). Design guardrails and validation layers to keep behavior safe and deterministic.
- Full Ownership (RP): Operate as the Responsible Party—scoping projects with clarity, writing concise specs, building/testing/instrumenting systems end-to-end, and driving delivery.
Other
- 100% On-site work, 5 days a week, in our New York City (Flatiron) office, fostering interdisciplinary collaboration
- Visa sponsorship is available for all types
- Commitment to Equality and Accessibility: MLabs is committed to offer equal opportunities to all candidates
- Degree requirements: Not specified, but 3 to 10 years of experience is required
- Travel requirements: Not specified
