Machine Learning Manager, Advanced Insights and Modeling Job at Cash App (Bay Area)

Model Monitoring, Analytics & Insights – Vice President

This position focuses on model performance monitoring, analytics, and insights f...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics
Strong programming (SAS, SQL, Python, etc.) skills
Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization
Strong understanding of relevant model metrics / KPIs & bring out insights on model performance tracking
Good communication skill to be able to articulate technical information verbally and in writing to both technical and non-technical audiences is a must
Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.
Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus
10+ Years of relevant experience in model analytics and insights
At least 7 years of extensive experience in model monitoring, generating business insights, analytical projects contributing business value
Experience in automating reporting processes would be a plus

Job Responsibility

Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning
Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models including performance assessment, drill down root cause analysis for performance deterioration, coming up with mitigation action providing rational for continued usage of the model without business impact
Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance
Explain model performance to second line (Model Risk Management) of defense providing rational of model performance deterioration (if any), explaining the applicability of the usage of the model
Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance
Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities
Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers
Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting
Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents

What we offer

Global benefits supporting employee well-being, growth, and work-life balance

Fulltime

Machine Learning Intern

This is an internship opportunity at Hewlett Packard Enterprise, designed as an ...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Enrolled in University
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

Job Responsibility

Design, develop, and implement machine learning models and algorithms to solve complex business problems
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies
Write clear, maintainable code and create comprehensive documentation for ML models and processes
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Inclusive work environment valuing individuality and diverse backgrounds

Fulltime

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Senior Computer Vision and Machine Learning Research Scientist

We are seeking a skilled and innovative Senior Research Scientist to join one of...

Location

United States , Seattle

Salary:

159750.00 - 234300.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields
Proven track record of research in machine learning, computer vision or related fields
Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale
Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow
Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection
Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data
Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products
Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community
Coach and mentor junior scientists

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Computer Vision and Machine Learning Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Seattle

Salary:

159750.00 - 234300.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields
Proven track record of research in machine learning, computer vision or related fields
Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale
Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow
Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection
Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data
Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products
Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community
Coach and mentor junior scientists

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Insights & Analytics Area Manager Growth & Marketing

You will lead the Growth & Marketing Insights & Analytics department, develop an...

Location

Sweden , Malmö

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Extensive (10+years) experience in leading, building and developing Research Insights and Data & Analytics departments overseeing the full spectrum of Insights, Data and Analytics (qualitative insights, business intelligence, (big)data analysis, data science)
Broad market research knowledge on macro, meso and market drivers, brand tracking and translating the outcome of these to an integrated strategic advice
Excellent understanding of the application of advanced analytics and data analytics in addressing and answering business questions
Extensive experience in marketing strategies, market segmentation and market positioning methods and tools, including CRM, loyalty, marketing mix modelling and attribution
Hands-on experience of programming languages, statistical methods and modern data platforms and systems
Understanding of Machine Learning & (Data) Engineering in the fast-moving data technology landscape
Experienced in change management, project management and managing complex stakeholder environments
Good knowledge of the IKEA corporate identity, core values and vision of creating a better everyday life for the many people

Job Responsibility

Create a solidly embedded demand for Insights & Analytics solutions to meet the requirements of the business in both short and long-term perspective
Proactively contribute to conversations to ensure the right data, measures and processes are implemented to make data-driven decisions that will inform the retail area
Be responsible for setting the Area Insights & Analytics team priorities - considering the area priorities and ensuring maximum impact - and acting as representative for all Insights & Analytics aspects within the area
Be responsible for recruiting, developing and retaining resources and expertise to efficiently and consistently develop and execute the Insights & Analytics strategy within the area
Provide leadership that promotes and inspires best practices in Insights & Analytics – continually benchmarking against industry standards and trends
Lead, coach and develop team members to secure people development, leadership and succession and a high performing team
Support, coach and co create within of Insights & Analytics management team, department strategy and development, represent D&A organization across stakeholders, countries and organization

Fulltime

Senior Product Manager

As a Senior Product Manager, you will play a critical role in shaping the future...

Location

United States , Seattle; San Francisco

Salary:

134500.00 - 216000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

6+ years of product management experience, with a focus on AI, machine learning, or knowledge systems
some experience in ads, feeds, search or recommendation products
proven track record of delivering impactful AI-driven features and managing cross-functional teams
strong understanding of AI technologies, including knowledge graphs, recommendation engines, and machine learning models
familiarity with data pipelines, model training, and system scalability
ability to translate complex challenges into actionable strategies and deliver measurable results
strong analytical skills with a metrics-driven approach to decision-making
excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders
experience influencing without authority and leading cross-functional initiatives
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Advanced degrees (e.g., PhD) are a plus.

Job Responsibility

Define and execute the product vision and roadmap for AI knowledge systems, aligning with organizational goals and user needs
partner with engineering teams to integrate AI adoption goals into the roadmap, ensuring alignment with technical capabilities and business objectives
lead initiatives to build and enhance foundational knowledge systems, such as knowledge graphs and data stores, to power downstream products like search, chat, and agent experiences
drive improvements in query understanding and recommendation systems across search, chat, and feed scenarios
leverage insights from collaborative graphs and data analytics to enhance personalization and context-aware capabilities
partner with teams to develop shared knowledge components that improve user engagement and satisfaction
drive initiatives to enhance the scalability, reliability, and performance of knowledge systems, focusing on caching, alias expansion, and model training pipelines
identify opportunities for third-party integrations to expand the capabilities of knowledge systems
manage key user experiences, such as search and query fulfillment, to showcase knowledge improvements and drive user satisfaction
monitor and evaluate the success of AI-driven features using data-driven metrics and user feedback.

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

Fulltime

Data Science Lead Analyst

The Data Science Lead Analyst is a strategic professional tasked with conducting...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
6-10 years experience using tools for statistical modeling of large data sets
Process Improvement or Project Management experience
Bachelor’s/University degree or equivalent experience, potentially Masters degree
Licenciatura en Economía, Estadística, Informática o áreas afines
Al menos 7 años en puestos relacionados con análisis de datos, ciencia de datos, desarrollo de modelos de Machine Learning e Inteligencia Artificial
Conocimiento en SAS // Phython- SQL (Avanzado)
Cientifico de Datos (Modelos)
Desarrollo estadística y econometría

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and makes strategic recommendations
Develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
Provides user and operational support of application to business users

Fulltime

Machine Learning Manager, Advanced Insights and Modeling

Cash App

Location:
United States , Bay Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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