Machine Learning Engineer (Modeling), Support
Machine Learning Engineer (Modeling), Support
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Salary Not Disclosed
1 Vacancy
Job Description
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
Blocks Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystemincluding Cash App Square and other business units. We are dedicated to advancing the state of intelligent automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents our team builds high-impact scalable systems that improve support quality efficiency and accessibility.
Were building the future of support at Block: one powered by AI voice interfaces and smart automation. Were looking for candidates with a passion for intelligent systems practical ML experience and a desire to build product-driven solutions.
You Will
- Design and deploy ML models powering conversational agents including the support chatbot used across Cash App Square and other Block products
- Build generative AI systems that scale intelligently across multiple business units adapting to diverse products users and use cases
- Advance voice support automation enabling natural responsive and accurate voice-based interactions
- Develop systems to infer customer intent enabling effective routing triaging and resolution of cases with minimal human involvement
- Create ML-powered tooling and real-time recommendation systems to assist support agents and enhance customer outcomes
- Engineer robust reusable modeling pipelines capable of high throughput rapid iteration and easy deployment
- Lead R&D efforts to explore and prototype next-generation chatbot architectures using LLMs retrieval-augmented generation (RAG) fine-tuning and real-time inference
- Collaborate cross-functionally with product engineering design and operations teams to ship impactful ML features at scale
You Have
- 4 years of experience in machine learning applied AI or product ML roles
- Demonstrated experience with language models dialog systems or generative AI in production
- Strong knowledge of NLP deep learning and ML infrastructure best practices
- Experience with speech processing or voice interfaces is a strong plus
- Proven ability to ship end-to-end ML featuresframing problems prototyping training evaluation and deployment
- Experience designing scalable model pipelines and maintaining production ML services
- Excellent communication skills and a collaborative mindset
- Enthusiasm for R&D and pushing the boundaries of what AI can do for support
Technologies We Use and Teach
- Python PyTorch TensorFlow or JAX
Were 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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.
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 were doing to build a workplace that is fair and square Check out our ID page.
While there is no specific deadline to apply for this role U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Employment Type
Full Time
