CrawlJobs Logo

Staff Machine Learning Engineer (Modeling), Support

cash.app Logo

Cash App

Location Icon

Location:
United States , San Francisco

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

276800.00 - 415200.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem—including 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.

Job Responsibility:

  • Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance
  • Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long term ML roadmaps, informed by domain expertise and industry trends
  • Guide the team’s direction, identifying new ML/AI opportunities and advising leadership on strategic tradeoffs and opportunities
  • Drive R&D efforts exploring next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference
  • Design, deploy, and maintain ML models powering conversational agents including support chatbots across Cash App, Square, and other Block products
  • Develop ML-powered tools and real time recommendation systems that enhance support agent effectiveness and customer outcomes
  • Act as the technical representative for your team’s systems and programs, clearly communicating work and results to stakeholders, cross-functional partners, and external audiences

Requirements:

  • 10+ years of experience in machine learning, applied AI, or product ML roles, with deep technical expertise
  • Demonstrated leadership capabilities, with the ability to influence and align cross-functional teams while directly shaping the work of peers through communication, context sharing, and technical guidance
  • A track record of delivering organizational wide impact, shaping systems, frameworks, or initiatives that raise the bar across multiple teams or functions
  • Proven ability to ship end to end ML features from problem framing through deployment and long-term maintenance
  • Demonstrated experience with language models, dialog systems, or generative AI in production
  • Strong foundation in NLP, deep learning, or ML infrastructure best practices.
  • Excellent communication skills, with the ability to represent the team’s work to leadership and stakeholders
  • Enthusiasm for R&D and pushing the boundaries of applied AI to transform conversational systems
What we offer:
  • Remote work
  • medical insurance
  • flexible time off
  • retirement savings plans
  • modern family planning

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Cash App - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Staff Machine Learning Engineer (Modeling), Support

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...
Location
Location
United States , Mountain View
Salary
Salary:
272700.00 - 333300.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
  • 7+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
  • Experience with LLM Ops, foundation model APIs, and AI engineering
  • Familiarity with data pipeline and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
Job Responsibility
Job Responsibility
  • Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
  • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
  • Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
  • Be a mentor, coach, leader and inspiration to those around you
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...
Location
Location
United States
Salary
Salary:
232000.00 - 310000.00 USD / Year
affirm.com Logo
Affirm
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
  • Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
  • Proficient in Python and ML frameworks, including PyTorch and XGBoost
  • Strong understanding of representation learning and embedding-based modeling
  • Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
  • Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
  • Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
  • Exceptional judgment, collaboration, and communication skills
  • Strong verbal and written communication skills that support effective collaboration across our global engineering organization
  • Equivalent practical experience or a Bachelor’s degree in a related field
Job Responsibility
Job Responsibility
  • Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
  • Lead the design, implementation, and scaling of advanced ML systems
  • Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
  • Provide broad technical leadership across the ML organization, mentoring senior engineers
  • Drive clarity and alignment on ambiguous, high-stakes technical decisions
  • Champion operational and system excellence at the area level
What we offer
What we offer
  • Equity rewards
  • Monthly stipends for health, wellness and tech spending
  • 100% subsidized medical coverage, dental and vision for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Competitive vacation and holiday schedules
  • Employee stock purchase plan enabling you to buy shares of Affirm at a discount
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
aignostics.com Logo
Aignostics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in a relevant field or extensive work experience
  • 8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
  • Proven track record of driving technical excellence and innovation
  • Solid background in data-intensive systems and software architecture, design patterns and clean coding
  • Expert Python programming and fluency in C/C++ or other low-level language(s)
  • Experience with designing and implementing large-scale, distributed ML systems and platforms
  • Proven track record of deploying ML models into production environments
  • Strong knowledge of machine learning fundamentals
  • Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
  • Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)
Job Responsibility
Job Responsibility
  • Define and drive the technical architecture and system design principles for our AI platform and infrastructure
  • Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
  • Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
  • Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
  • Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
  • Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
  • Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value
What we offer
What we offer
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • 30 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport, sports and well-being
  • Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment
Read More
Arrow Right

Software Engineer Staff

This Software Engineer Staff will be engaged in data science-related research an...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Utilize analytical and programming skills and open-source systems, such as Apache Storm, Apache Spark, Elasticsearch, Cassandra, Graph DB etc. develop data processing pipeline required efficacy and latency
  • Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine
  • Require the experience to develop the reusable and highly scalable data processing component
  • Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
  • Develop good quality python APIs to support micro services
  • Require the knowledge of APIs to various No SQL storage systems, Elasticsearch, Cassandra, and Redis, etc.
  • Good understanding Python Flask web service and be able to develop good quality code
  • Troubleshoot production environment and customer reported issues
  • Require the knowledge of the multi-cloud production environment
  • Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink
Job Responsibility
Job Responsibility
  • Designs, develops, troubleshoots and debugs software programs for software enhancements and new products
  • Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
  • Determines hardware compatibility and/or influences hardware design
  • Engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology and autonomous platform to provide an unprecedented visibility into the user experience
  • Collaborate with other engineers and product managers to build the next generation of autonomous Wi-Fi networks leveraging big data and predictive models
  • Use knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, and classify them in real-time
  • Leverage the data collected from the Wi-Fi network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot
  • Determine the likelihood of failures across the Wi-Fi network and performing failure scope analysis
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...
Location
Location
United States , Mountain View
Salary
Salary:
360000.00 - 440000.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
  • Familiarity with data pipelines and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering
Job Responsibility
Job Responsibility
  • Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
  • Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
  • Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
  • Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
  • Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
  • Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...
Location
Location
United States; Canada , Remote
Salary
Salary:
Not provided
https://www.1password.com Logo
1Password
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of 8+ years of professional software engineering experience
  • Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
  • In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
  • Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
  • Experience with Big Data query engines such as Hive, Presto, Trino, Spark
  • Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
  • Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
  • Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
  • Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.
Job Responsibility
Job Responsibility
  • Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
  • Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
  • Build scalable data pipelines using best-in-class software engineering practices
  • Develop optimal data models for storage and retrieval, meeting critical product and business requirements
  • Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
  • Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
  • Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
  • Influence and evangelize high standard of code quality, system reliability, and performance.
What we offer
What we offer
  • Maternity and parental leave top-up programs
  • Generous PTO policy
  • Four company-wide wellness days
  • Company equity for all full-time employees
  • Retirement matching program
  • Free 1Password account
  • Paid volunteer days
  • Employee-led inclusion and belonging programs and ERGs
  • Peer-to-peer recognition through Bonusly
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

We are looking for a Staff Data Engineer to take ownership of Blinq’s data engin...
Location
Location
Australia , Sydney; Melbourne
Salary
Salary:
Not provided
blinq.me Logo
Blinq Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience with SQL, data modeling tools like Dataform, and programming languages such as Python or R and data system architecture designs
  • Hands-on expertise with a modern event data stack and familiarity with tools such as Segment, Amplitude, BigQuery, Looker Studio, Google Analytics, SSGTM, CDP and AWS/GCP
  • A strong vision for building a scalable, reliable, and cutting-edge analytics platform, with the ability to develop a roadmap to achieve this
  • A solid grounding in mathematics, statistics, and data visualisation
  • Experience in MarTech and working with data systems that support machine learning workflows is desirable
  • High proficiency in A/B testing and event system design is also highly desirable
Job Responsibility
Job Responsibility
  • Building and optimising data pipelines which are scalable to support the collection, transformation, and loading (ETL) of data into databases, warehouses or lakes
  • Ensuring data quality and accuracy by implementing robust validation and observability processes
  • Collaborating closely with Product, Marketing, Sales and Engineering teams to align data systems with business goals and measure success effectively
  • Driving cross-functional efforts to address data integrity, reporting, and insights, while remediating inconsistencies and gaps
  • Documenting data processes, architecture, and workflows to ensure clarity and continuity across teams
What we offer
What we offer
  • Equity & ownership
  • Competitive salary & growth path
  • Generous paid time off: At least 20 days fully disconnect each year, with a flexible policy beyond that
  • Parental leave that grows with you: 12 to 26 weeks full pay, based on tenure
  • Free food: Enjoy daily breakfast and lunch at some of our offices, plus an always-stocked snack bar
  • Fulltime
Read More
Arrow Right

Staff Backend Software Engineer, Insights

Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will ...
Location
Location
Romania , Bucharest; Cluj
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as a Backend Engineer with a focus on database design and system architecture
  • Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries
  • Hands-on experience with Elasticsearch for indexing and searching large datasets
  • Proficient in backend programming languages such as Python, Go
  • Experience with RESTful API design and development
  • Solid understanding of distributed systems, microservices architecture, and cloud infrastructure
  • Experience with performance tuning, data modeling, and query optimization
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
Job Responsibility
Job Responsibility
  • Design, implement, and maintain backend services and APIs to support applications
  • Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability
  • Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions
  • Monitor and troubleshoot performance issues in distributed systems and databases
  • Write clean, maintainable, and efficient code following best practices for backend development
  • Participate in code reviews, testing, and continuous integration efforts
  • Ensure security, scalability, and reliability of backend services
  • Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy