538 Python Ai Ml Engineer jobs in New York,NY

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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New, Posted 1 day ago

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Partner Head of AI & Strategy (Boutique Consultancy)

Confidential

New York, NY 10001

OnsiteUrgently Hiring

Over eight years of experience in strategy consulting, particularly within data and AI transformation
Proven history of generating new business with executive-level clients
Experience launching and scaling a US AI & Data practice
Ability to drive revenue through transformational AI/data programs
Capacity to cultivate C-level relationships, including CEOs, CIOs, CDOs, and COOs
Based in the US
Preferably within the East Coast or Central time zones
Ability to sell to senior executives
Entrepreneurial mindset with comfort operating without heavy corporate structure
Equity opportunity (as part of compensation/ownership)

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Sr. QE (Senior Quality Engineer, APIs)

Subway Restaurants

Bridgeport, CT 06606

$119,200-$149,000/yr

~ 1 hr 13 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

5 or more years of quality engineering or software engineering experience, with a focus on backend API and integration testing
Demonstrated experience designing and executing automated test suites for RESTful APIs in a distributed or microservices environment
Hands-on experience with performance and load testing tools and methodologies
Experience writing test automation in JavaScript/TypeScript, Java, or Python
Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS)
Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent)
Familiarity with contract testing approaches and consumer-driven contract frameworks
Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
Location: Shelton, CT (USA) – Travel: Less than 10% (explicit location constraint)
The Company is only considering applicants who are currently authorized to work in the country the position is based

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Sr. SDET (Sr Software Engineer in Test & Merchandising Automation)

Subway Restaurants

Bridgeport, CT 06606

~ 1 hr 13 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
5 or more years of experience as an SDET or software engineer with a strong focus on test automation and quality engineering
Proficiency in JavaScript/TypeScript (Node.js) for writing production-quality test code; Playwright required for UI and API automation
Experience testing event-driven and integration architectures - AWS Lambda, SQS/SNS, API Gateway, or equivalent async messaging systems
Hands-on experience validating iPaaS or workflow automation platforms - Adobe Workfront Fusion, MuleSoft, Zapier, or similar scenario-based integration tools strongly preferred
Experience designing and executing performance, load, and reliability test strategies against backend APIs and event pipelines
Experience embedding automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)
Familiarity with contract testing approaches and consumer-driven contract frameworks (Pact or similar)
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent) - comfortable using AI daily to author tests, generate synthetic data, and analyze failures
Strong software engineering fundamentals - able to write clean, maintainable, reviewable test code that the broader engineering team can own
Systems-level thinking: able to reason about distributed architectures, async data flows, and failure modes across integration boundaries - including both AWS-native and Fusion-based pipelines
Clear communicator who can translate test findings and coverage gaps into actionable engineering priorities for both technical engineers and marketing/ops stakeholders
Collaborative approach - operates as a full member of the engineering team, not a downstream QA gate
Experience providing technical guidance and code review to other engineers on testing best practices
Travel Requirements - Less than 10%

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New, Posted 1 day ago

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Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

New York, NY 10001

New, Posted 1 hour ago

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AI Engineer

Capital One

New York, NY 10001

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VP of Engineering

Confidential

New York, NY 10001

OnsiteUrgently Hiring

Over 10 years of experience leading commercial software development teams
Experience with managing large teams exceeding 100 members
Strong technical grounding in languages such as Java, React, or Scala
Experience leading the development of customer-facing applications across mobile and web platforms
Experience in designing and operating large-scale, real-time systems
Experience in scaling fintech organizations and delivering customer-facing products
Ability to oversee backend and infrastructure projects
Experience integrating existing products with recently acquired fintech platforms
Experience in a Fortune 500 environment with a startup mindset (preferred)
Familiarity with regulatory requirements (advantageous)
Ability to drive AI adoption to improve productivity
Availability to be based in New York City

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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