Deep Learning Modeler, Identity (TBD)

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 risk management and trust building products in the decentralized financial world that will drive monetization for TBD. We are looking for a talented and experienced Deep Learning Modeler to join our innovative team. The ideal candidate will have a strong background in machine learning and deep learning, with a proven track record of developing and deploying state-of-the-art models to solve complex problems. You will play a critical role in shaping the future of our products and services by creating and refining deep learning models to further our mission of economic empowerment globally and solve real world problems with decentralized financial products

You Will:

• Collaborate with cross-functional teams, including data engineers, data scientists, and product managers, to define project goals and develop deep learning models that address business needs
• Design, implement, and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Keras, ensuring high performance, accuracy, and generalizability
• Build new models for video and image tasks, including generation and classification, trained on internet-scale datasets
• Conduct experiments and perform statistical analyses to validate model performance, identify areas for improvement, and iterate on model designs
• Leverage advanced deep learning techniques, such as active learning, unsupervised learning, and meta-learning, to improve model performance and address new problem domains
• Stay current with the latest research and developments in the field of deep learning, and actively contribute to the team's knowledge base by sharing insights, techniques, and best practices
• Participate in code reviews, provide feedback to peers, and contribute to a culture of continuous improvement and learning
• Document and communicate model development processes, results, and insights to stakeholders, both technical and non-technical

You Have:

• 5+ years of experience in developing and deploying deep learning models, with a strong understanding of underlying algorithms and techniques
• Experienced designing/building deep learning models for image or video generation
• Created deep learning video models (spatiotemporal architectures) 
• Designed/implemented advanced generative models published in the last 3 years
• Proficiency in Python and experience with deep learning frameworks, such as TensorFlow, PyTorch, or Keras
• Experience with data processing and visualization tools, such as NumPy, Pandas, and Matplotlib
• Strong problem-solving, analytical, and critical thinking skills
• Entrepreneurial and have demonstrated ability to handle ambiguity
• Excellent communication and collaboration abilities

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 $245,100 - USD $299,500
Zone B: USD $245,100 - USD $299,500
Zone C: USD $245,100 - USD $299,500
Zone D: USD $245,100 - USD $299,500

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 
• Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

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.