Plaid

Senior Machine Learning Engineer - Embedded Insights

Plaid$150K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in machine learning, including deploying models in customer-facing systems.
  • Proficiency in SQL and Python, along with data visualization and analysis tools.
  • Ability to analyze large financial datasets for actionable insights.
  • Experience from proof of concept to production in machine learning systems.
  • Strong communication skills for technical and non-technical audiences.
  • High agency with a knack for proposing machine learning opportunities.
  • Advanced degree or relevant experience in Statistics, Economics, Mathematics, Data Science, or related fields.

Responsibilities

  • Build machine learning features for a 0-to-1 consumer product.
  • Partner with product managers to translate business needs into machine learning problems.
  • Rapidly iterate to determine product-market fit for new business lines.
  • Work with data scientists to define success metrics for machine learning features.
  • Collaborate with machine learning engineers to establish data feedback loops.
  • Analyze Plaid's datasets to find impactful machine learning opportunities.
  • Optimize existing models by developing features and monitoring performance.

Benefits

  • Comprehensive medical, dental, and vision plans.
  • 401(k) retirement savings plan.
  • Equity and commission compensation may be offered depending on the role.
Full Job Description
About the Team

The Embedded Insights team supports Plaid's mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems.
About the Role

As a Senior Machine Learning Engineer on Embedded Insights, 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.

You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value.

In supporting the Plaid App, you will:
  • 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.

As a member of the broader Embedded Insights team, you will:
  • 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.
What Excites You
  • Shaping Plaid's future as intelligence products become a core part of the company's value proposition.
  • Working with one of the industry's most unique datasets and helping define how Plaid can use it to create customer value.
  • Identifying and validating new machine learning opportunities across Plaid's product suite.
  • Working across multiple product areas and developing a deep understanding of Plaid's products and customers.
  • Building products that empower millions of people to achieve greater financial freedom and opportunity.
  • Working closely with customers to ensure products meet their needs and demonstrate meaningful impact.
  • Joining a high-ownership team where the greenfield opportunity is substantial.
What Excites Us
  • 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.

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

About Plaid

Plaid is a financial services company based in New York City. The company builds a technology platform, which enables applications to connect with users' bank accounts. Plaid focuses on enabling consumers and businesses to interact with their bank accounts, check balances, and make payments through financial technology applications. The company was founded in 2013 by Zach Perret and William Hockey. In January 2020, Visa announced that it would acquire Plaid for $5.3 billion. The acquisition was completed in January 2021.
Learn more about Plaid
Size
600 employees
Industry
Founded
2011

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