Senior Machine Learning Engineer, Klover
Financial services & cash advance app
Be an early applicant
Financial services & cash advance app
101-200 employees
Be an early applicant
101-200 employees
Company mission
To give everyone access to modern financial services by leveraging their most valuable asset, their data.
Role
Who you are
- 6+ 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
- To meet the growing needs of our business, we are searching for an experienced Senior 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
- This role is a remote, US based position. Candidates can expect travel to our other office locations from time to time
- 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, a subsidiary of Attain, 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
Company
Funding (last 2 of 3 rounds)
Nov 2022
$25m
SERIES B
Aug 2021
$60m
SERIES A
Total funding: $89m
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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