**Who this is for** This role is for a seasoned Machine Learning Engineer with extensive experience in building and deploying ML services, particularly in the f
Work type: remote
Location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Salary: $200,700 – $250,900/yr
Type: Full-time
**Who this is for** This role is for a seasoned Machine Learning Engineer with extensive experience in building and deploying ML services, particularly in the fintech or risk assessment domain. You are comfortable working across the full stack and have a strong understanding of modern data infrastructure. **Key highlights** You will play a critical role in enhancing risk onboarding systems by designing and deploying ML and Gen AI microservices to automate customer reviews. This involves close collaboration with data science and engineering teams, embedding services into the user experience, and ensuring robust testing and observability. **You might be a good fit if you...** - Have 7+ years of experience in ML engineering, data engineering, or backend software development. - Possess expertise in a modern data stack, including Snowflake, dbt, and streaming technologies like Kafka. - Have production experience with ML services and API frameworks like FastAPI. - Are comfortable working with full-stack development environments and contributing to a product's future.
Before 1965, it was extremely difficult and time-consuming to analyze complicated signals, like radio or images. You could solve it, but you had to throw a ton of compute at it. That all changed with the invention of the Fast Fourier transform, which could efficiently break that signal down into the frequencies that are a part of it. The Risk Onboarding team is working on efficiently reviewing customers’ applications without compromising on quality. We are the front line of defense for preventing money laundering and financial crimes, building systems to verify that someone is who they say they are and that we are allowed to do business with them.
At Mercury, we are committed to crafting an exceptional banking experience for startups. Our team is passionately focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.
Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.As part of this role, you will:
Our target new hire base salary ranges for this role are the following:
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound ](https://getcovey.com/product/covey-scout-inbound)on January 22, 2024. Please see the independent bias audit report covering our use of Covey [here](https://getcovey.com/nyc-local-law-144).
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