Talent.com
Machine Learning Engineer (Modeling), Risk
Machine Learning Engineer (Modeling), Risk Square • San Francisco, CA, US
Machine Learning Engineer (Modeling), Risk

Machine Learning Engineer (Modeling), Risk

Square • San Francisco, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay / Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at

Job Description

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day. Check out our !

This role is part of Cash App's Risk ML team and will be embedded within one of the below workstreams :

Identity : Using machine learning methods and systems, this team reduces the prevalence of inauthentic identities in Cash’s ecosystem, provides a first line of defense against bad actors attempting to circumvent our IDV controls while simultaneously building our confidence in existing and new customers' identities. Our goal is to ensure that every individual has access to the financial services they need, regardless of their background or financial history. We believe that ML has the potential to revolutionize the way in which identity verification is conducted, and we are dedicated to constantly improving and refining our solutions to ensure that it remains at the forefront of this rapidly evolving field. By using machine learning for identity verification, we aim to create a safer and more inclusive financial system for all.

Cash Card + Disputes :  This team owns analytical and ML solutions for the full lifecycle of the Cash Card product with a focus on mitigating risk / fraud. Team works cross-functionally with Product, Platform, Legal, and others to balance financial loss to the business, regulatory risk, and the holistic customer experience.

Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
  • 6+ years of experience in machine learning, data analysis, or a related field
  • Strong knowledge of machine learning algorithms and data analysis techniques
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
  • MySQL, Snowflake, GCP / AWS and Tableau

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

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

To find a location’s zone designation, please refer to this . If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following :

  • Healthcare coverage (Medical, Vision and Dental insurance)
  • Health Savings Account and Flexible Spending Account
  • Retirement Plans including company match
  • Employee Stock Purchase Program
  • Wellness programs, including access to mental health, 1 : 1 financial planners, and a monthly wellness allowance
  • Paid parental and caregiving leave
  • Paid time off (including 12 paid holidays)
  • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
  • Learning and Development resources
  • Paid Life insurance, AD&D, and disability benefits
  • These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

    We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

    We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our .

    Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

    Block, Inc. (NYSE : SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

    While there is no specific deadline to apply for this role, on average, open roles are posted for 70 days before being filled by a successful candidate.

    [job_alerts.create_a_job]

    Machine Learning Engineer Modeling Risk • San Francisco, CA, US

    [internal_linking.similar_jobs]
    Senior Machine Learning Engineer (MLE)

    Senior Machine Learning Engineer (MLE)

    Equinix • Redwood City, CA, United States
    [job_card.full_time]
    Senior Machine Learning Engineer.Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.A place w...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning - Behavioral Modeling

    Machine Learning - Behavioral Modeling

    Palladio AI, Inc • San Francisco, CA, United States
    [job_card.full_time]
    Seeking Builders of Behavioral Intelligence Breakthroughs.You've unlocked major wins in your career - you've built rigorous behavioral or neuroscience models and shown significant impact as a resul...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer, Training Infrastructure

    Machine Learning Engineer, Training Infrastructure

    Intellipro Group • San Francisco, CA, United States
    [job_card.full_time]
    Machine Learning Engineer, Training Infrastructure.We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastructure for tr...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Applied ML Engineer - LLMs

    Applied ML Engineer - LLMs

    Authentic Group of Companies • San Francisco, CA, United States
    [job_card.full_time]
    Visa sponsorship available : Simple visa sponsorships and transfers might be possible.As a Machine Learning Research Engineer, youll drive research that teaches models what great feels like across d...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Lead ML Engineer - Audience Intelligence & MLOps

    Lead ML Engineer - Audience Intelligence & MLOps

    Warner Bros. Discovery • San Francisco, CA, United States
    [job_card.full_time]
    A leading media and entertainment company in California seeks a Senior Machine Learning Engineer for its Audience Intelligence team. The ideal candidate will lead ML model development, oversee compl...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Engineer, Safety - Deploy Production Risk Models

    Senior ML Engineer, Safety - Deploy Production Risk Models

    Discord • San Francisco, CA, United States
    [job_card.full_time]
    A leading communication platform is seeking a Senior Machine Learning Engineer for their Safety ML team focused on modeling for user safety. You will analyze data, build models to detect risk, and c...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer, Fraud

    Machine Learning Engineer, Fraud

    Whatnot • San Francisco, CA, United States
    [job_card.full_time]
    Join the Future of Commerce with Whatnot!.Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by bl...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Engineer — Fraud & Risk Systems (Remote)

    Senior ML Engineer — Fraud & Risk Systems (Remote)

    Afterpay • San Francisco, CA, United States
    [filters.remote]
    [job_card.full_time]
    A financial technology company is seeking a remote Machine Learning leader to architect systems that enhance fraud prevention in lending. You will leverage advanced analytics and collaborate closely...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer, Model Optimization

    Machine Learning Engineer, Model Optimization

    Waymo • San Francisco, CA, United States
    [job_card.full_time]
    Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on buildin...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Lead Machine Learning Engineer

    Lead Machine Learning Engineer

    San Jose Staffing • San Francisco, CA, United States
    [job_card.full_time] +1
    Lead Machine Learning Engineer.At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine lea...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Alexander Chapman • San Francisco, CA, United States
    [job_card.full_time]
    Get AI-powered advice on this job and more exclusive features.This range is provided by Alexander Chapman.Your actual pay will be based on your skills and experience — talk with your recruiter to l...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Staff Applied AI and Machine Learning Engineer, Payments & Risk

    Staff Applied AI and Machine Learning Engineer, Payments & Risk

    Gusto • San Francisco, CA, United States
    [job_card.full_time]
    Staff Applied AI and Machine Learning Engineer, Payments & Risk.At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    Sciforium • San Francisco, CA, United States
    [job_card.full_time]
    Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct spons...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Engineer

    Machine Learning Engineer

    DeWinter Group • San Francisco, CA, United States
    [job_card.full_time]
    Our client, a leader in Social Media and Content Platforms, is looking for a skilled.This project involves building ML capabilities for a user-facing product, including accelerating the ML developm...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Lead Machine Learning Engineer

    Lead Machine Learning Engineer

    Massachusetts Staffing • San Francisco, CA, United States
    [job_card.full_time] +1
    Lead Machine Learning Engineer.At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine lea...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    ML Engineer, LLMs for Identity Risk Hybrid

    ML Engineer, LLMs for Identity Risk Hybrid

    BASELAYER • San Francisco, CA, United States
    [job_card.full_time]
    A financial technology company is seeking a Machine Learning Engineer in San Francisco to develop and integrate ML models for identity verification and risk monitoring. This role involves building s...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Machine Learning Modeler, Advanced Insights & Modeling

    Machine Learning Modeler, Advanced Insights & Modeling

    Block • San Francisco, CA, United States
    [job_card.full_time]
    Machine Learning Modeler, Advanced Insights & Modeling.Join to apply for the Machine Learning Modeler, Advanced Insights & Modeling role at Block. Block is one company built from many blocks, all un...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Machine Learning Engineer - I (MLOps / LLMOps)

    Senior Machine Learning Engineer - I (MLOps / LLMOps)

    Sumo Logic • Redwood City, CA, United States
    [job_card.full_time]
    Senior Machine Learning Engineer - I (MLOps / LLMOps).As a Senior Machine Learning Engineer - MLOps / LLMOps, you will design, build, and scale production-grade infrastructure and platforms that enable...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]