Senior Machine Learning Engineer – Embedded Insights

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor is seeking a senior ML engineer to build features for a consumer-facing product and partner with product managers to translate business needs into ML problems. You will rapidly iterate to drive product-market fit for a new business line, collaborate with data scientists to define metrics, and produce proofs of concept validating opportunities in Plaid datasets.

Join cross-functional teams to productionize models and deploy them into real-world customer products, while maintaining and

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 with SQL and Python
• Proficiency with 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

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 collaborate with product and engineering partners to productionize models and deploy them in real-world, customer-facing products
• Optimize and maintain existing models by developing new features, identifying retraining cadences, and creating metrics, alerts, and dashboards to monitor performance
• Communicate technical decisions, tradeoffs, and system behavior to technical and non-technical partners

Skills

Machine Learning

Data Analysis

Model Optimization

Proof of Concept Development

Success Metrics Definition

Cross-Functional Communication

Collaboration

Problem-Solving

Education

Advanced degree in Statistics/Data Science

Tools

SQL

Python

Data Visualization Tools

Job description

• 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 collaborate with product and engineering partners to productionize models and deploy them in real-world, customer-facing products
• Optimize and maintain existing models by developing new features, identifying retraining cadences, and creating metrics, alerts, and dashboards to monitor performance
• Communicate technical decisions, tradeoffs, and system behavior to technical and non-technical partners

Requirements

• 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 with 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

Core Competencies

Demonstrates expertise in building and deploying machine learning models for consumer-facing products, with a strong ability to analyze complex datasets and communicate technical insights effectively to cross-functional teams.

Highest-signal resume keywords

• Machine Learning Model Deployment
• SQL Proficiency
• Python Proficiency
• Data Visualization Tools
• Advanced Degree in Statistics or Data Science

Hard Skills

• Machine Learning
• Data Analysis
• Model Optimization
• Proof of Concept Development
• Success Metrics Definition

Soft Skills

• Cross-Functional Communication
• Collaboration
• Problem-Solving

Industry Keywords

• Consumer-Facing Product
• Financial Datasets
• Product Strategy
• Product-Market Fit
• Data Feedback Loops

Tools & Technologies

• Data Visualization Tools
• Machine Learning Frameworks