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 building an open source platform and developer infrastructure that enables everyone to access and participate in the global economy.

TBD is inviting the world to join us in building and adopting open and decentralized technologies that solve real problems for real people — from next generation infrastructure that lowers the cost of global payments and enables frictionless commerce, to decentralized identity technologies that enable anyone to access and participate in the global economy. Our mission advances economic empowerment through the power of decentralized solutions, built open source and collaboratively.

The offerings we build will provide developers, institutions, and individuals with the capabilities needed to build the next wave of innovative apps and services, and access this decentralized future. We’re leveraging bitcoin and other decentralized technologies to reinvent the global financial system in an open and permissionless way to further Block’s mission of economic empowerment, with a global focus.

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 infrastructure. The ideal candidate will have a strong background in machine learning, software engineering, and cloud-based infrastructure, and will be responsible for designing, building, and optimizing the tools and systems that enable our team to develop, test, and deploy state-of-the-art machine learning models efficiently and effectively to further our mission of economic empowerment globally and solve real world problems with decentralized financial products.

You Will:

• Collaborate with machine learning modelers and other stakeholders to design and build a robust, scalable, and user-friendly model development infrastructure
• Implement and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, validation, and deployment
• Integrate machine learning models with production systems, ensuring seamless and efficient model deployment and monitoring
• Develop and maintain tools and libraries to facilitate rapid experimentation, model development, and evaluation for the machine learning team
• Implement best practices for version control, code review, testing, and documentation, fostering a culture of high-quality software development
• Stay current with the latest tools, technologies, and best practices in machine learning engineering and cloud-based infrastructure, and drive continuous improvement within the team
• Monitor, troubleshoot, and optimize the performance of machine learning models and related infrastructure

You Have:

• 5+ years of experience in designing and building deep learning capable ML pipelines and infrastructure
• 8+ years of experience building software platforms
• Proficiency in Python and experience with machine learning libraries, such as scikit-learn, TensorFlow, or PyTorch
• Strong software engineering skills, including knowledge of data structures, algorithms, and object-oriented programming principles
• Experience with cloud-based infrastructure and services, such as AWS, GCP, or Azure, and related machine learning tools and services
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes
• Experience in dealing with sensitive/private data, both structured and unstructured
• Experience with advanced techniques like irregular sequence modeling, uncertainty quantification, graph neural networks, homomorphic encryption, active learning systems, is a big plus
• Strong problem-solving, analytical, and critical thinking skills
• Entrepreneurial and have demonstrated ability to handle ambiguity
• Excellent problem-solving, analytical, and communication skills

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 $202,500 - USD $247,500
Zone B: USD $192,400 - USD $235,200
Zone C: USD $182,300 - USD $222,800
Zone D: USD $172,200 - USD $210,400

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 @block.xyz, @squareup.com, @tidal.com, or @afterpay.com, @clearpay.co.uk.

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.