Machine Learning Engineer, Klover

Salary not provided

SQL

GCP

Python

Mid and Senior level

San Francisco Bay Area

3+ days a week in office (Redwood City, CA)

Financial services & cash advance app

Open for applications

Financial services & cash advance app

21-100 employees

FintechB2CPersonal financeLendingFinancial ServicesData Sharing

Open for applications

Salary not provided

SQL

GCP

Python

Mid and Senior level

San Francisco Bay Area

3+ days a week in office (Redwood City, CA)

21-100 employees

FintechB2CPersonal financeLendingFinancial ServicesData Sharing

Company mission

Klover's mission is to give everyone access to modern financial services by leveraging their most valuable asset, their data.

Job

Company

Role

Who you are

4+ years of hands-on experience building and deploying machine learning models
Strong expertise in developing and deploying offline and online machine learning services in production
Solid understanding of machine learning software and infrastructure development
Proficiency in Python
Experience with cloud computing services or platform (GCP preferred)
Strong SQL skills
Familiarity with version control and peer code review systems
Demonstrated ability to learn and embrace new technologies, applications, and approaches
Willingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the business
Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences

What the job involves

We are leveraging machine learning (ML) and data science-based products to take Attain to the next level
To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach
This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners
Contribute to the development of our machine learning platform, driving for outstanding execution
Lead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc
Design and manage CI/CD pipeline for our machine learning product deployment
Collaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security
Contribute to the machine learning engineering roadmap and priorities

Our take

Klover offers users interest free cash advances as well as a growing range of financial services and budgeting tools on its free-to-use app. Rather than charging users a fee, Klover leverages their bank transaction data to tailor targeted advertising.

It’s worth keeping in mind that while Klover essentially pays users for their data, it does not share or sell personal information – a key factor in its model.

With heavy investment from Mercato Partners and the hiring of former Pinterest VP of Sales and Partnerships Meredith Guerriero, Klover is growing impressively, and has ambitions to one day become a full service online bank.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.85)

Company

Funding (last 2 of 3 rounds)

Nov 2022

$25m

SERIES B

Aug 2021

$60m

SERIES A

Total funding: $89m

Company benefits

Health: Top tier health insurance for you and your family
Flexible Vacation Time: Take time for yourself. We want you to love it here
Ownership: Take advantage of our stock option program
Mentorship: Sharing knowledge is a key to our success
Gear: Get what you need to do your job. High quality gear is a given

Company HQ

River North, Chicago, IL

Leadership

Brian Mandelbaum

(CEO)

Founded and was CEO of Clearstream.tv (acquired by Engine Group in 2015), then became Global CEO of re-branded EMX Digital. Is a <Managing Partner at Mayne Capital and Board Member at B2B insurance data and software company Fize. Former VP, Digital Strategy at Saatchi & Saatchi.

Dominic Bennett

(CTO)

Co-founded EngageHD, which was acquired by Clearstream.tv in 2014, then became CTO of Clearstream. Spent six years at advertising services company Turn, including a spell as Senior Vice President, following seven years as VP, Analytics & Engineering at Claria.

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