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Senior Machine Learning Engineer
Senior Machine Learning EngineerMercury • Portland, OR, United States
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Mercury • Portland, OR, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Overview

Locations : San Francisco, CA; New York, NY; Portland, OR; or Remote within Canada or United States.

Mercury is building systems to efficiently review customers’ applications to prevent money laundering and financial crimes, while verifying identities and ensuring lawful business relationships. We are committed to a remarkable banking experience for startups and to creating a safe environment for customers, administrators, and regulators.

Note : Mercury is a financial technology company, not a bank. Banking services are provided through Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

Responsibilities

  • Partner with data science and engineering teams to design and deploy ML and Gen AI microservices, focused on automating reviews.
  • Collaborate with a full-stack engineering team to embed these services into the review experience, including human-in-the-loop, escalations, and feeding human decisions back into the service.
  • Implement testing, observability, alerting, and disaster recovery for all services.
  • Implement tracing, performance monitoring, and regression testing.
  • Demonstrate strong product ownership and willingness to take responsibility; participate in self-organizing on small / medium projects to help shape Mercury’s future.

Qualifications

  • 7+ years of experience in roles such as machine learning engineering, data engineering, backend software engineering, and / or DevOps.
  • Expertise with :
  • A modern data stack : Snowflake, dbt, Fivetran, Airbyte, Dagster, Airflow.
  • SQL, dbt, Python.
  • OLAP / OLTP data modeling and architecture.
  • Key-value stores : Redis, DynamoDB, or equivalent.
  • Experience across full-stack development environments with transferable skills to Haskell, React, and TypeScript.

    • Compensation & Benefits

    The total rewards package includes base salary, equity, and benefits. Salary and equity ranges are competitive within the SaaS and fintech industry and are updated using reliable compensation data. New hire offers are based on experience, expertise, geographic location, and internal pay equity relative to peers.

  • Target base salary ranges : US employees : $200,700 - $250,900; Canadian employees : CAD 189,700 - 237,100.

    • Equal Opportunity

    Mercury is an Equal Employment Opportunity employer. We consider all individuals without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We provide reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance or an accommodation, please inform your recruiter when contacted about a role.

    Hiring Process Note

    As part of our hiring process we may use Covey in NYC-related evaluations. See the independent bias audit report covering our use of Covey.

    Apply for this job

    Interested in building your career at Mercury? Get future opportunities sent straight to your email.

    Please prepare the following for the application :

  • First Name
  • Last Name
  • Email
  • Phone
  • Resume / CV
  • Profile
  • Website
  • Visa sponsorship status
  • Current location (city and state / province)

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