Jobs
>
San Francisco

    head of personalization, machine learning - San Francisco, CA, United States - Block

    Block
    Block San Francisco, CA, United States

    1 week ago

    Default job background
    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


    We are looking for a senior machine learning and AI leader to join and lead Cash App's Personalization ML organization.

    This group oversees all personalization ML modeling and engineering work for Cash App & Afterpay, including recommendations, search retrieval/ranking, growth, incentives, cross/up-sell, etc.


    You will be a part of Cash App's Machine Learning & Data Science (MLDS) team and report directly to the head of the organization, who reports to the CEO of Cash App.

    You will partner closely with our most senior product leaders on how to incorporate machine learning and AI into the development of new features and identify opportunities to leverage AI to personalize and enrich our existing products and features.

    Our goal is to establish ML/AI as a distinct pillar in product development alongside product management, engineering, and design.


    You will:

    • Grow, lead, and mentor a senior team of ~20-25 machine learning modelers, scientists, and engineers.
    • Provide both technical and career guidance for each individual and sub-lead on your team.
    • Create a tightly aligned and fruitful partnership between your modeling and engineering sub-teams (e.g. shared roadmapping, prioritization, goals, etc.).
    • Partner and collaborate closely with Cash App's senior-most product and business leaders.
    • Work with your team to identify new opportunities, develop prototypes, achieve buy-in from partners, and deliver production-ready ML solutions that have a large impact on the business.
    • Effectively communicate your team's work with senior leadership and the executive team on a regular basis.
    • Contribute directly to quarterly and annual strategic plans.
    • Stay up-to-date with the latest state-of-the-art techniques in AI (e.g. LLMs and generative AI more broadly) and foster a culture of learning within the organization.
    • Help shape Block's overall ML and AI strategy.

    You have:

    • 8+ years of machine learning and AI industry experience.
    • 5+ years of experience managing teams of machine learning engineers, modelers, and/or data scientists.
    • An advanced degree in Machine Learning, Computer Science, Math, Statistics, Physics, or a related technical field.
    • Very strong communication, collaboration, and stakeholder management skills.
    • Experience working cross-functionally to build and ship new products and features that leverage ML in a production environment.
    • Deep knowledge of and experience with a wide range of machine learning algorithms and techniques, including many of the recent state-of-the-art developments in generative AI.
    • Expertise in understanding how to apply ML and AI to solve/optimize complex problems and drive new/improved customer experiences.
    • An appreciation for how to go from zero-to-one for new ML solutions as well as how to optimize mature, scaled ML applications.
    • Strong statistical and mathematical intuition with an appreciation for concepts such as causality, selection bias, incrementality, hypothesis testing, etc.
    • Strong software engineering fundamentals and the ability to manage teams that adhere to engineering best practices.
    • Intellectual curiosity and a passion for Block's purpose of economic empowerment.
    Block takes a market-based approach to pay, and pay may vary depending on your location.

    U.S 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 $300,000.00

    Outside

    Zone A:
    USD $300,000.00

    To find a location's zone designation, please refer to this resource. 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 I+D page.


    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.

    We've noticed a rise in recruiting impersonations across the industry, where individuals are sending fake job offer emails. Contact from any of our recruiters or employees will always come from an email address ending with , , , or ,

    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, U.S. open roles are posted for 70 days before being filled by a successful candidate.
  • Rain Neuromorphics Inc.

    machine learning engineer

    6 days ago

    Rain Neuromorphics Inc. San Francisco, United States

    MACHINE LEARNING ENGINEER · Company: Rain Neuromorphics Inc. · Location: San Francisco, CA · Position Type: Full Time · Experience: See below for details · Education: See below for details · Machine Learning Engineer (San Francisco, CA) - Dvlop, implmt & deploy state-of-the-art o ...

  • X (formerly Twitter)

    Machine Learning Engineer

    6 days ago

    X (formerly Twitter) San Francisco, United States

    Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is t ...

  • Square

    Machine Learning Engineer

    1 week ago

    Square San Francisco, United States

    Company Description · Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is bui ...

  • Wayve

    Machine Learning Engineer

    1 week ago

    Wayve San Francisco, United States

    WHO ARE WE? · Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team we're focusing on using less data to learn more intelli ...

  • Perplexity AI

    Machine Learning Engineer

    3 days ago

    Perplexity AI San Francisco, United States

    Job Description · Job DescriptionPerplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of thi ...

  • Perplexity AI

    Machine Learning Engineer

    1 week ago

    Perplexity AI San Francisco, United States

    Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for eng ...

  • Umba

    Machine Learning Lead

    6 days ago

    Umba San Francisco, United States

    Company introduction · Our mission at Umba is to use machine learning to allow us to create intelligent, affordable financial products for emerging markets. · Umba launched into the Kenyan market in November 2018, and offers a number of digital banking products to its users thro ...

  • Orbital Sidekick, Inc.

    Machine Learning Engineer

    2 weeks ago

    Orbital Sidekick, Inc. San Francisco, CA, United States

    Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of ...

  • Swish Analytics

    Machine Learning Engineer

    1 week ago

    Swish Analytics San Francisco, United States

    Company Overview · Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuiti ...

  • Haystack News

    Machine Learning Engineer

    1 week ago

    Haystack News San Francisco, United States

    Job Description · Job DescriptionHaystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the ...

  • Text Blaze

    Machine Learning Engineer

    2 weeks ago

    Text Blaze San Francisco, CA, United States

    [Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs · Machine Learning Engineer - Large Language Models · Text Blaze United States · Date Posted · 28 Apr, 2023 · Work Location · San Francisco, United States · Salary ...

  • Karkidi

    Machine Learning Engineer

    2 weeks ago

    Karkidi San Francisco, CA, United States

    TBD's Risk and Trust team is on the mission to build world-class risk and trust management services to enable a truly open and decentralized financial ecosystem. We are looking for a skilled Machine Learning Engineer to help create and maintain our model development infrastructur ...

  • Genentech

    Machine Learning Engineer

    2 weeks ago

    Genentech San Francisco, United States

    The Position · The Position · A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. ...

  • Health

    Machine Learning Engineer

    2 weeks ago

    Health San Francisco, United States

    Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading m ...

  • Stripe

    Machine Learning Engineer

    6 days ago

    Stripe San Francisco, United States

    Who we are · About Stripe · Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mi ...

  • Hayden AI

    Machine Learning Engineer

    1 week ago

    Hayden AI San Francisco, CA, United States

    About Us · At Hayden AI, we are on a mission to harness the power of artificial intelligence and machine learning to transform the way governments and businesses address real-world challenges. From optimizing bus lane and bus stop enforcement to pioneering digital twin modeling ...

  • hims & hers

    Director, Machine Learning

    2 weeks ago

    hims & hers San Francisco, CA, United States

    About the Role: · Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role · We're looking for a Director to lead our machine learning engineering team toward the forefront o ...

  • Probably Genetic

    Machine Learning Engineer

    1 week ago

    Probably Genetic San Francisco, CA, United States

    About Probably Genetic: · Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed ...

  • EMA

    Machine Learning Engineer

    1 week ago

    EMA San Francisco, United States

    Who we are · Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Co ...

  • EMA

    Machine Learning Engineer

    2 weeks ago

    EMA San Francisco, United States

    Who we are · Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Co ...