Senior Machine Learning Engineer - Embedded Insights

The role

You will build machine learning-powered products and features, initially supporting the Plaid App. You will translate ambiguous business requirements into machine learning problems and deploy models into real-world, customer-facing products.

What you will do

• 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.
• 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 and complete proofs of concept.
• Embed with product teams to productionize models and deploy them in real-world products.
• Optimize and maintain the health of existing models.
• Communicate technical decisions, tradeoffs, and system behavior to technical and non-technical partners.

Required qualifications

• 6+ years of experience in machine learning, including deploying models into real-world, customer-facing systems.
• 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.
• Proficiency in 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

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid powers the tools millions of people rely on to live a healthier financial life. The company is headquartered in San Francisco and works with thousands of companies to connect financial accounts to apps and services.