Senior Machine Learning Engineer (Modeling), Measurement

Company Description

Since opening our doors in 2009, Square has been at the forefront of commerce evolution. Originally created to enable anybody to process payments and capitalize on sales opportunities, our mission expanded as we identified the need for more integrated, coherent business tools. Today, we offer a suite of omnichannel tools through our software solutions—ranging from online sales optimization, inventory management, innovative buy now, pay later options via Afterpay, booking services, to customer engagement and staff management. All these are complemented by our embedded financial services at the point of sale, allowing seamless access to business loans and sophisticated cash flow management. Our commitment through Afterpay and more has positioned us as a crucial partner to a diverse scale of sellers—from local startups to large, established enterprises.

Job Description

The Measurement Machine Learning teams within our Go-To-Market (GTM) organization are fundamental in shaping the future of commerce by developing advanced ML models and algorithms. These efforts are crucial in delivering impactful insights across comprehensive company-wide metrics and refining GTM channel attribution. In your role as a Senior Machine Learning Engineer, you will be pivotal in enhancing Square's measurement system by engineering sophisticated data-driven solutions that inform strategic growth and investment decisions.

Responsibilities:

• Lead as our in-house specialist in data-driven attribution to propel Square’s expansion.
• Develop a new generation of data science and machine learning solutions central to Square’s attribution system.
• Collaborate with key stakeholders across Finance, Marketing, Sales, and more to tailor our growth strategies based on solid data.
• Liaise with third-party data providers to enhance full funnel attribution.
• Stay current with emerging trends in machine learning and data science, applying these advancements to continuously evolve our systems.

Qualifications

• Over 4 years of experience in data science and machine learning, specializing in GTM attribution.
• Proven expertise in statistical learning methods and constructing data-driven attribution systems from scratch, including marketing mix models (MMM) and multi-touch attribution (MTA).
• Advanced skill in deploying and managing extensive ML models and systems using industry-standard tools such as TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, and Google Cloud.
• Demonstrated ability in working closely with senior stakeholders across various functions such as Finance, Marketing, and Risk.
• Exceptional communication skills and a demonstrated ability to work within multi-disciplinary teams.

Compensation Information

At Block, compensation is based on a market-driven approach. Pay can vary depending on job location, which is categorized into four cost zones. The expected salary range for this role based on geographical zone is:

• Zone A: USD $163,600 - USD $245,400
• Zone B: USD $155,400 - USD $233,200
• Zone C: USD $147,300 - USD $220,900
• Zone D: USD $139,000 - USD $208,600

This position is not only a chance to grow your career but also offers the opportunity to enhance how global commerce operates by leveraging cutting-edge machine learning technologies. Join us in our journey at Block as a Senior Machine Learning Engineer and help redefine the future of business.