Visa

4 days ago

Sr ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build production-grade machine learning and generative AI solutions for Visa’s Merchant Data Platform. Own end-to-end ML workflows—from data ingestion and feature engineering to training, deployment, monitoring, and MLOps improvements. Develop models for merchant entity resolution, attribute inference, normalization, deduplication, and data quality observability, optimizing for low latency, scale, and cost efficiency while mentoring engineers and partnering with product and data teams.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy scalable ML models and pipelines to enrich merchant data (entity resolution, attribute inference, standardization).
•Deliver end-to-end ML solutions across ingestion, feature engineering, training, deployment, and monitoring with performance and reliability.
•Apply NLP, LLMs, and probabilistic modeling for merchant name normalization, brand hierarchy mapping, and data deduplication.
•Partner with product managers, data engineers, and platform teams to translate business problems into ML-driven solutions and influence direction.
•Develop data quality frameworks and observability systems to monitor performance, detect drift, and improve accuracy, while optimizing for latency, throughput, and cost.

Travel: Low travel

Pay and Benefits

Salary: USD 145,200 - 224,800 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•2+ years of relevant experience with a Bachelor’s degree, or 5+ years of relevant experience, including AI/ML model and algorithm development.
•Experience designing and building scalable machine learning pipelines.
•Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
•Hands-on experience with distributed systems, big data technologies (e.g., Spark), and cloud platforms.
•Experience with real-time inference systems, data pipelines, and MLOps tooling.

Experience:2+ yearsPayments technologyAI/MLGenerative AIMLOpsReal-time systems

Education:Bachelor's

Skills:Problem-solvingCommunicationCollaborationMentoringCross-functional partnership

Tech Stack:PythonTensorFlowPyTorchNLPLLMsGenerative AIProbabilistic modelingSparkCloud platformsCI/CDFeature storesMLOps

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Visa

4 days ago

Sr ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy scalable ML models and pipelines to enrich merchant data (entity resolution, attribute inference, standardization).
•Deliver end-to-end ML solutions across ingestion, feature engineering, training, deployment, and monitoring with performance and reliability.
•Apply NLP, LLMs, and probabilistic modeling for merchant name normalization, brand hierarchy mapping, and data deduplication.
•Partner with product managers, data engineers, and platform teams to translate business problems into ML-driven solutions and influence direction.
•Develop data quality frameworks and observability systems to monitor performance, detect drift, and improve accuracy, while optimizing for latency, throughput, and cost.

Travel: Low travel

Pay and Benefits

Salary: USD 145,200 - 224,800 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•2+ years of relevant experience with a Bachelor’s degree, or 5+ years of relevant experience, including AI/ML model and algorithm development.
•Experience designing and building scalable machine learning pipelines.
•Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
•Hands-on experience with distributed systems, big data technologies (e.g., Spark), and cloud platforms.
•Experience with real-time inference systems, data pipelines, and MLOps tooling.

Experience:2+ yearsPayments technologyAI/MLGenerative AIMLOpsReal-time systems

Education:Bachelor's

Skills:Problem-solvingCommunicationCollaborationMentoringCross-functional partnership

Tech Stack:PythonTensorFlowPyTorchNLPLLMsGenerative AIProbabilistic modelingSparkCloud platformsCI/CDFeature storesMLOps

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor