Description
As a Senior Machine Learning Engineer on Embedded Insights at Plaid, you will help shape Plaid's future by building machine learning-powered products and features.
You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line.
Responsibilities:
- Build machine learning-based features for a 0-to-1 consumer-facing product.
- Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions.
- Rapidly iterate and experiment to help drive product-market fit for a new business line.
- Work with Data Scientists to define success metrics and guardrails for new machine learning features.
- Partner with MLEs across product areas to build effective data feedback loops.
- Analyze Plaid's unique datasets to identify high-impact opportunities for machine learning and complete proofs of concept to validate them.
- Embed with product teams and work closely with product and engineering partners to productionize models and deploy them in real-world, customer-facing products.
- Optimize and maintain the health of existing models by developing new features, identifying effective retraining cadences, and creating metrics, alerts, and dashboards to monitor performance.
- Communicate technical decisions, tradeoffs, and system behavior clearly to both technical and non-technical partners.
Requirements:
- 6+ years of experience in machine learning, including deploying models into real-world, customer-facing systems.
- High agency and creativity, with experience identifying, defining, and proposing high-impact machine learning opportunities.
- Ability to analyze large and complex financial datasets and derive actionable insights.
- Experience taking machine learning systems from experimentation or proof of concept through production and ongoing improvement.
- Proficiency in SQL and Python, as well as data visualization and analysis tools.
- Ability to clearly communicate complex technical systems, decisions, tradeoffs, and outcomes to cross-functional partners.
- Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field.
Benefits:
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
- Additional compensation in the form of equity and/or commission.