Senior Machine Learning Engineer - Embedded Insights

New York City Office · Remotefull time

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Remote

senior

H1B: yes

Plaid The Senior Machine Learning Engineer - Embedded Insights at Plaid builds machine learning-powered products and features, initially supporting a 0-to-1 consumer-facing product. The role involves collaborating with product managers, data scientists, and engineers to translate business requirements into ML systems.

Responsibilities

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.
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.