Senior Machine Learning Engineer – Identity, ML Platform

Firm Description

It began with an thought at Block in 2013. Initially constructed to take the ache out of peer-to-peer funds, Money App has gone from a easy product with a single goal to a dynamic ecosystem, growing distinctive monetary merchandise, together with Afterpay/Clearpay, to offer a greater option to ship, spend, make investments, borrow and save to our 47 million month-to-month lively prospects. We wish to redefine the world’s relationship with cash to make it extra relatable, immediately obtainable, and universally accessible.

Right this moment, Money App has hundreds of staff working globally throughout workplace and distant places, with a tradition geared towards innovation, collaboration and impression. We’ve been a distributed group since day one, and lots of of our roles could be achieved remotely from the international locations the place Money App operates. Irrespective of the situation, we tailor our expertise to make sure our staff are inventive, productive, and blissful.

Take a look at our places, advantages, and extra at cash.app/careers.

Job Description

As a part of the Machine Studying Engineering Id group, you’ll play a essential half in using machine studying strategies and techniques to cut back the prevalence of inauthentic identities inside Money’s ecosystem. Our major accountability is fortifying our first line of protection towards unhealthy actors making an attempt to bypass our Id Verification (IDV) controls, whereas additionally enhancing our confidence in each current and new prospects’ identities. By leveraging machine studying, we goal to make sure that everybody has equal entry to the monetary providers they require, regardless of their background or monetary historical past. 

Our group is constant to develop and we’re in search of Engineers with expertise growing ML pipelines and infrastructure to construct out the next-generation ML options to energy use instances throughout the corporate. Throughout the group, we make use of strategies starting from easy heuristics to Deep Studying know-how to enhance our efficiency and providers. We’re additionally excited to discover new instructions with the group to proceed pushing the boundaries of what’s doable.

Our ML Engineers work in shut collaboration with Knowledge Scientists, ML Modelers and Software program Engineers from throughout Money App. Take a look at our Machine Studying / AI weblog here!

You’ll:

• Design elegant ML pipelines and providers in addition to prototype new approaches and productionize options at scale for our 36+ million lively customers
• Create a world class platform for coaching, internet hosting and sustaining ML fashions 
• Apply ML and engineering greatest practices to form how Money App develops, assessments and maintains ML-platform options
• Assist design and execute our long-term Machine Studying technique throughout Money App

{Qualifications}

You’ve got:

• A level/background in Pc Science, Pc Engineering, or a associated technical discipline. A graduate diploma is a pleasant to have
• 3+ years of expertise in software program improvement and demonstrated technical initiative and management on earlier tasks
• Curiosity and a ardour for Money App’s mission of financial empowerment 
• Expertise serving to your teammates develop by means of mentorship and offering constructive suggestions 
• A need to be hands-on and assist invent the way forward for AI
• The flexibility to work autonomously within the quickly evolving world of ML
• Expertise or information in ML is useful however not a prerequisite: if you’re a stable software program engineer, then we’re blissful to coach you within the mysterious methods of ML

Applied sciences we use and educate:

We worth basic engineering talent and flexibility over current area information, however right here’s a pattern of what we at the moment use:

• Python, Java and Kotlin 
• Tensorflow and PyTorch 
• AWS, GCP, and Kubernetes
• MySQL, DynamoDB, Kafka, Apache Beam and Google DataFlow

Further Info

Block takes a market-based method to pay, and pay might differ relying in your location. Canada places are categorized into considered one of two zones based mostly on a value of labor index for that geographic space. The profitable candidate’s beginning pay shall be decided based mostly on job-related abilities, expertise, {qualifications}, work location, and market situations. These ranges could also be modified sooner or later.

Zone A: CAD $138,500 – CAD $207,700
Zone B: CAD $133,700 – CAD $200,500

 

To discover a location’s zone designation, please discuss with this resource.

We have now listed a few of our widespread hiring places. Relying on the price of labor within the related geographic space, state work places which are roughly 50 Kilometers exterior of the metro space listed could also be aligned to a special zone. These zones could also be modified sooner or later.  Please communicate with a recruiter for added info.

 

Block, Inc. (NYSE: SQ) is a worldwide know-how firm with a concentrate on monetary providers. Made up of Sq., Money App, Spiral, TIDAL, and TBD, we construct instruments to assist extra individuals entry the economic system. Sq. helps sellers run and develop their companies with its built-in ecosystem of commerce options, enterprise software program, and banking providers. With Money App, anybody can simply ship, spend, or make investments their cash in shares or Bitcoin. Spiral (previously Sq. Crypto) builds and funds free, open-source Bitcoin tasks. Artists use TIDAL to assist them succeed as entrepreneurs and join extra deeply with followers. TBD is constructing an open developer platform to make it simpler to entry Bitcoin and different blockchain applied sciences with out having to undergo an establishment.