CrawlJobs Logo

Senior Machine Learning Modeler

cash.app Logo

Cash App

Location Icon

Location:
United States , Bay Area

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

194500.00 - 343100.00 USD / Year

Job Description:

We're looking for a Senior Machine Learning Modeler to pioneer the design of intelligent systems that power the future of decision-making across Block—spanning Cash App, Square, and Corporate domains such as Treasury, Cost, and Accounting. You'll lead the architecture and delivery of AI-driven, self-adaptive models that forecast, reason, and act—shaping how Block allocates resources, scales growth, and plans for the future. This means going beyond traditional modeling: building autonomous ML workflows, graph-based retrieval systems (GraphRAG), and agentic orchestration frameworks (MCP and beyond) that make insights discoverable, explainable, and actionable across the company.

Job Responsibility:

  • Lead design and implementation of forecasting, financial, and cost modeling systems that inform company-wide decisions
  • Develop scalable ML architectures and pipelines for training, serving, and monitoring predictive models
  • Build and extend AI tools for model explainability and interpretability, making predictions accessible to Finance, Analytics, and Product teams
  • Partner with Data Science to operationalize research models, ensuring performance, reliability, and reproducibility
  • Collaborate with Forecasting Analytics and Corporate Finance teams to deliver insights that guide resource allocation and financial planning
  • Define technical standards, best practices, and frameworks for applied ML development across business lines

Requirements:

  • 8+ years of experience in machine learning or software engineering, with proven experience leading large-scale ML projects
  • Deep expertise in forecasting, predictive modeling, and value estimation, including statistical and ML-based methods
  • Advanced proficiency in Python, and experience with libraries such as scikit-learn, XGBoost, LightGBM, and pandas/numpy
  • Strong experience building end-to-end ML pipelines, leveraging tools like Airflow, Spark, BigQuery, or equivalent systems
  • Demonstrated success in designing systems that support explainability, reproducibility, and operational reliability
  • Strong understanding of data modeling, feature engineering, and model evaluation in production contexts
  • Experience mentoring engineers and shaping team-wide technical direction

Nice to have:

  • Experience with forecasting frameworks (e.g., Prophet, statsmodels, or custom time-series methods)
  • Background in financial modeling, planning, or customer lifetime value prediction
  • Experience building automated or interactive explainability systems for ML-driven forecasts
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
Job Link Share:

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

Briefcase Icon

Similar Jobs for Senior Machine Learning Modeler

Senior Machine Learning Engineer

Atlassian is looking for a Senior Machine Learning Engineer to join our Central ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 6+ years of related industry experience in the data science domain
  • Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Explain data science concepts to diverse audiences, create a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Drive the development and implementation of cutting edge machine learning algorithms
  • Training sophisticated models
  • Collaborating with product, engineering, and analytics teams
  • Build the AI functionalities into each Atlassian products and services
  • Designing system and model architectures
  • Conducting rigorous experimentation and model evaluations
  • Providing guidance to emerging ML engineers
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Working at Atlassian: Atlassians can choose where they work – whether in an offi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of related industry experience in the ML domain
  • Expertise in Python, Kotlin or Java with the ability to write performant production-quality code, familiarity with SQL, Vector database and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Improving productivity of help-seekers in JSM, leveraging AI
  • Using RAG methodology to scan through the Knowledge Base, index, hydrate and generate answers which are accurate
  • Expanding to supporting multiple-languages, improving correctness scores, eliminating hallucinations, expanding search space beyond Knowledge Base
  • Implementing AI/ML for generating KB articles from issues
  • Suggesting and creating workflows through AI for solving customer queries
  • Other initiatives to create impact on overall helpfulness to the help seeker
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Central AI

Atlassian's Central AI organization is on a mission to revolutionize AI innovati...
Location
Location
Canada , Canada
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code
  • familiarity with SQL
  • knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences
  • craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Job Responsibility
Job Responsibility
  • development and implementation of the cutting edge machine learning algorithms
  • training sophisticated models
  • collaborating with product, engineering, and analytics teams
  • build the AI functionalities into each Atlassian products and services
  • designing system and model architectures
  • conducting rigorous experimentation and model evaluations
  • providing guidance to junior ML engineers
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As a Senior Machine Learning engineer, you will work on the development and impl...
Location
Location
United States , Mountain View
Salary
Salary:
175560.00 - 235000.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 4+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • work on the development and implementation of the cutting edge machine learning algorithms
  • training sophisticated models
  • collaborating with product, engineering, and analytics teams
  • build the AI functionalities into each Atlassian products and services
  • designing system and model architectures
  • conducting rigorous experimentation and model evaluations
  • providing guidance to junior ML engineers
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...
Location
Location
United States , Seattle; Austin; New York; Washington DC
Salary
Salary:
190300.00 - 305600.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning engineering teams running core services at scale
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Principal Machine Learning Systems Engineer

Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Ce...
Location
Location
United States , Seattle; San Francisco; Austin
Salary
Salary:
243100.00 - 407200.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree or equivalent practical experience
  • 10+ years of related industry experience in AI/machine learning domain
  • Expertise in Python or Java with the ability to write performant production-quality code
  • familiarity with SQL
  • knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Steer the development and deployment of advanced machine learning algorithms and system architecture
  • Train complex models
  • Work in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service
  • Design system and model architectures
  • Conduct meticulous experimentation and model evaluations
  • Mentor budding ML engineers
  • Harness the transformative power of AI across our product suite
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Systems Engineer

Our team is building the foundations to democratise Machine Learning for Atlassi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
  • Understanding and experience with Machine Learning project lifecycle and tools
  • Understanding of LLMs, best deployment practices and inference optimisation
  • Experience in building and implementing high-performance RESTful micro-services
  • Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
  • Experience with Continuous Delivery and Continuous Integration
Job Responsibility
Job Responsibility
  • Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
  • Build systems for product teams like Jira & Confluence to provide access to curated LLMs
  • Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
  • Lead engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input and communicate results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Atlassian is seeking a Senior Machine Learning Scientist to join our Central AI ...
Location
Location
United States , San Francisco
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Designing system and model architectures
  • Conducting rigorous experimentation and model evaluations
  • Providing guidance to junior ML engineers
  • Collaborating with product, engineering, and analytics teams
  • Development and implementation of the cutting-edge machine learning algorithms
  • Training sophisticated models
  • Building AI functionalities into each Atlassian product and service
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right