Staff Machine Learning Modeler @ Cash App | Jobright.ai
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Staff Machine Learning Modeler jobs in San Francisco, CAH1B Visa Sponsored Staff Machine Learning Modeler jobs in San Francisco, CA
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Cash App · 3 days ago

Staff Machine Learning Modeler

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Comp. & Benefits

Insider Connection @Cash App

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether
Own the end to end pipeline including API calls to disparate data sources, advanced prompt tuning and/or model fine-tuning, metrics and evaluation, and integrating Gen AI output into production case generation systems
Leverage LLMs to accelerate label generation to alleviate cold start problems for traditional ML classification problems
Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities, and bitcoin products
Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and Generative AI models
Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance
Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningFull StackComputer ScienceData ScienceOperations ResearchApplied MathStatisticsPhysicsLarge Language ModelsNLP TechniquesDeploying ML/AIProduction SystemsBatch ProcessingReal Time ProcessingStakeholder ManagementIndependent OwnershipProgram ManagementProblem-SolvingCuriosityCreativityCollaboration

Required

5+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred
A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
Experience with Large language models, and a background in traditional NLP techniques is a strong plus for this role
End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale
Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact
Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

Benefits

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

Company

Cash App

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Cash App is the fastest growing financial brand in the world. It is a sub-organization of Block.

H1B Sponsorship

Cash App has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (172)
2022 (350)
2021 (22)

Funding

Current Stage
Early Stage
Total Funding
$10M
2018-04-04Pre Seed· $10M

Leadership Team

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Adrian Pittman
Head of Financial Services Design
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Laurence Aderemi
Crypto Operations Lead
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Company data provided by crunchbase
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