New York

Engineer Jobs in New York

479 jobs found

Include remote jobs

Today

Sr. Software Engineer, UI Developer Tooling

CrowdStrike New York, NY

New York, NY

Today

$164k - $295k/yr Full time CI/CD Dependency Management Developer

Apply Now

Job Description

CrowdStrike is seeking a Senior UI Platform Engineer to lead the design and build of shared developer tooling for its next-generation front end. This role focuses on module federation foundations, build and CI tooling, scaffolding automation through a platform CLI, and improvements to developer experience for UI engineers across the organization.

Key Responsibilities

Own the module federation architecture enabling dozens of Product Groups to ship independent microfrontends into a single UI shell, while keeping contracts stable, versions disciplined, and cross-team breakage rare.
Lead shared Vite build and development-server tooling used by UI engineers locally and in CI, supporting fast hot reload, reliable sub-package watching, and honest cold start performance.
Design and operate CI pipelines that build, verify, and publish every UI package across GitLab CI and Jenkins, optimizing for speed, caching, and clear failure signals.
Ship a single platform CLI used to scaffold repositories, wire projects into module federation, run tests, and cut releases with one command that covers local and CI workflows.
Implement automated dependency management via Renovate, integrate security scanning, and support AI-assisted upgrades so version updates, vulnerability response, and monorepo hygiene do not depend on individual teams.
Shift validation left by moving linting, type checks, build validation, and contract checks into developers’ editor workflows and pre-push hooks.
Partner with UI Quality, UI Release, and Observability to deliver a consistent platform experience through a unified CLI workflow.
Collaborate with Product Group leads to migrate legacy build and tooling patterns onto the shared paved-road approach and drive organization-wide adoption.
Mentor engineers on build tooling, module federation, and monorepo patterns, and provide thoughtful code review across the platform and its consumers.
Build ephemeral environments and preview deployments per MR to provide fast, reliable feedback before changes are merged.

Required Qualifications

Experience building shared frameworks, tooling, or platforms that other engineers rely on daily.
Strong knowledge of Vite and modern front-end build tooling, with the ability to diagnose issues within complex module graphs.
Production experience shipping module federation (or equivalent microfrontend architecture) at scale, including understanding versioning, contract, and runtime pitfalls.
Fluency in TypeScript, monorepo tooling such as Nx or Turborepo, and modern package management with pnpm workspaces.
Experience designing GitLab CI pipelines that remain fast and reliable while providing clear signals when failures occur.
Experience automating dependency management (for example, Renovate) and incorporating security tooling such as SAST, SCA, and Snyk into developer workflows.
Demonstrated ability to set engineering standards that autonomous teams adopt, with the capability to influence senior engineers and leaders when needed.
Proven experience using AI in earnest to improve decision-making, streamline workflows, increase efficiency, and drive business outcomes.

Technologies

Vite
TypeScript
Module federation
Microfrontends
GitLab CI
Jenkins
Renovate
SAST
SCA
Snyk
Nx
Turborepo
pnpm workspaces
Playwright

Bonus Points

Experience with Playwright and modern browser testing tooling integrated into CI as a fast, reliable signal.
Experience running Jenkins alongside modern CI during a platform migration.
Experience building ephemeral preview environments per MR and the infrastructure automation behind them.
Experience using developer experience metrics such as DORA or SPACE to guide tooling investment.
Experience implementing contract testing between federated remotes in a large distributed front end.

Compensation & Location

Location: New York, NY (hybrid). Salary: USD 164,000 to 295,000 per year.

Benefits

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

View full job page →

Today

Software and AI Engineer

CoreWeave New York, NY

New York, NY

Today

$153k - $204k/yr Full time Backend Developer Agentic Ai Ai Agent

Apply Now

Job Description

CoreWeave is hiring an Software and AI Engineer (IT Systems) in New York, NY (onsite) to design and build AI agents, copilots, and first-party applications that streamline internal workflows. The role blends applied GenAI with full-stack engineering, integrating enterprise systems and delivering scalable services and APIs.

Compensation: USD 153,000 - 204,000 per year. Minimum experience: 3 years.

Why this role is a strong fit

Medical, dental, and vision insurance fully paid by CoreWeave (100%).
Life insurance covered by the company, plus voluntary supplemental options.
Disability coverage for short- and long-term needs.
Family and mental health support including Spring Health, Carrot family-forming support, paid parental leave, and childcare support via Kinside.
Flexible benefits such as an HSA, FSA, and flexible PTO.
Learning and ownership through tuition reimbursement and participation in the Employee Stock Purchase Program (ESPP).
Work environment with catered lunch daily in office and data center locations, plus a casual atmosphere and a culture focused on innovative disruption.

What you’ll do

Develop AI agents and copilots for internal teams including Finance, Billing, and Supply Chain, leveraging frameworks and APIs such as LangChain, LangGraph, Cohere, OpenAI, Gemini, and Glean.
Design and build first-party web and mobile applications using React, TypeScript, and modern front-end frameworks.
Build scalable backend services in Node.js and Go for data processing, orchestration, and automation.
Integrate enterprise systems including ERP, HRIS, MRP, PDM, DCIM, and data warehouses using native integrations or iPaaS platforms such as Workato or Boomi.
Create APIs and microservices that support modular, event-driven application architectures.
Use GenAI development tools such as Cursor, Claude, Copilot, and ChatGPT Codex to accelerate implementation, testing, and documentation.
Ensure applications have observability, maintainability, and security across the stack.
Collaborate with stakeholders across Finance, Accounting, Security, Engineering, and other business teams to design useful, user-centered workflows.

What you bring

3+ years of programming experience in C++, Go, C#, Java, TypeScript, or Python, building production-grade cloud services.
3+ years of scripting experience in Python or Bash for automation and tooling.
Solid experience designing RESTful APIs and event-driven integration architectures.
Experience building and deploying production-grade applications and microservices.
Experience with AWS, Azure, or GCP, including container orchestration, DevOps, and CI/CD practices.
Modern backend and frontend experience; familiarity with React, TypeScript, Node.js, Go, FastAPI, Next.js, Kestrel, or gRPC is relevant.
Working familiarity with generative AI frameworks and APIs such as LangChain, LangGraph, OpenAI, or Glean.
Motivation to build user-facing tools that improve business productivity and employee experience.

Helpful (preferred) experience

Experience shipping production-grade AI, ML, or LLM applications at scale.
Experience developing AI-powered or agentic applications integrated with enterprise data.
Familiarity with ML and data engineering platforms such as Ray, Kafka, or Spark.
Experience with iPaaS platforms such as Workato or Boomi.
Exposure to operational domains like Finance or Supply Chain.
Experience with AI-assisted development tools including Cursor, Claude, or ChatGPT Codex.
A collaborative approach with an eye for user experience and long-term system maintainability.

View full job page →

Today

Sr. AI Engineer (Full Stack)

Peloton New York, NY

New York, NY

Today

$161k - $225k/yr Full time Senior Agentic Ai Ai Agent

Apply Now

Job Description

Peloton is building production-grade AI applications that connect autonomous agents into the company’s enterprise infrastructure. In this role, you will design the AI memory and state layer, integrate fragmented business data into a trustworthy foundation, and ship evaluation and cost-saving techniques that keep deployments reliable. This is a hands-on engineering position focused on turning ambiguous ideas into features that reach users quickly.

What you’ll do

Convert ambiguous problem statements into functional, high-performing AI features and standalone tools.
Solve the “State Problem” for AI by creating memory architectures and vector stores using Pinecone and Pgvector while strictly following data retention and deletion policies.
Build pipelines and entity-resolution logic to connect data across CRM, ERP, CPQ, and marketing systems (including Salesforce, SAP, and BigQuery) into a single reliable source of truth agents can act on.
Work with Peloton business units to understand workflows, identify high-value opportunities, and choose initial use cases to prove value.
Partner closely with stakeholder teams to understand needs and drive adoption of what you build.
Share field feedback that helps other teams understand model strengths and where they can improve.
Deploy continuous evaluation pipelines to test for hallucinations, prompt injections, data leakage, and performance regressions before code reaches production.
Implement Semantic Caching and smart routing logic to direct routine queries to smaller, lower-cost models to maintain low latency and efficient inference costs.

Required experience

5–7+ years of general software engineering.
Strong software engineering fundamentals including distributed systems, async patterns, API design, microservices, and databases.
Comfort switching languages or frameworks to move fastest toward working solutions.
Hands-on production experience deploying RAG (Retrieval-Augmented Generation) and Agentic Workflows using LLM APIs, vector databases, and orchestration frameworks.
Proven experience building and maintaining pipelines across fragmented enterprise systems (CRM, ERP, CPQ, marketing platforms), with emphasis on entity resolution, schema design, and data quality.
Experience working with cutting-edge AI tools and compute resources.
Demonstrated ability to ship work that reaches real users quickly, in days rather than months.

Tools and technologies

Pinecone, Pgvector
Salesforce, SAP, BigQuery
RAG (Retrieval-Augmented Generation), LLM APIs

Location: New York, NY (hybrid)
Salary: USD 160,600 - 224,950 per year
Experience: 5+ years

Peloton is seeking a scrappy, creative, fast-moving AI Engineer who can rapidly turn raw ideas into production-grade applications. You will architect the Intelligence and Integration Layers that connect autonomous agents to Peloton’s enterprise infrastructure, focusing on systems thinking, engineering fundamentals, product sense, and the ability to ship quickly.

View full job page →

Today

Staff AI Engineer, Developer Relations Engineering

Crusoe New York, NY

New York, NY

Today

$180k - $220k/yr Full time Artificial Intelligence Developer Relations Staff Ai Engineer

Apply Now

Job Description

Crusoe is seeking a Staff AI Engineer for Developer Relations Engineering in New York, NY (onsite). In this role, you will build agentic AI systems and make them usable for developers through reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.

You will also lead technical content creation and community engagement, partnering across Product, Engineering, Research, and GTM/Solutions so developer learnings directly inform product direction.

What you’ll do

Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, including tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals.
Own the code examples, tutorials, and documentation that take developers from their first API call to a working agent, keeping materials tested and current as the ecosystem evolves.
Own Crusoe’s developer-facing GitHub presence, including examples, cookbooks, and integrations.
Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe.
Turn delivered systems into developer resources through deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips.
Share your work across platforms such as X, LinkedIn, YouTube, Discord, Reddit, and Hacker News by answering technical questions, reviewing community projects, and acting as a trusted technical voice in the agent and open-source community.
Partner with GTM/Solutions Engineering to identify recurring customer patterns and translate them into open reference architectures for segments such as Physical AI, robotics, simulation, and other industry verticals.
Work within Product, Engineering, and Research workflows by testing features and models before launch, ensuring samples and docs are ready, and feeding developer friction back into concrete product input through issue follow-through until fixed or explicitly deprioritized.
Deliver technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops.

Qualifications

5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or similar hands-on engineering role, with strong Python.
Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers.
Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK.
Well-formed opinions about what succeeds and what fails in production.
Cloud experience with platforms such as AWS, GCP, or Azure and foundational understanding of cloud infrastructure concepts.
Working knowledge of model serving, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.
Ability to explain cost and latency tradeoffs credibly.
Evidence of public sharing through GitHub repos, open-source contributions, blog posts, videos, talks, or active social/platform presence (include links when applying).
Strong communication skills in written and verbal formats, including documentation, white papers, video explainers, and presentation decks.
Ability to collaborate across teams, set priorities, and ship in a fast-moving environment.
Travel up to 20%.
Bachelor’s/Master’s/PhD in Computer Science, or equivalent practical experience.

Technologies

Python
LangGraph, LlamaIndex, CrewAI, Pydantic AI
OpenAI Agents SDK
MCP
vLLM, SGLang
AWS, GCP, Azure
OpenAI-compatible APIs

Compensation

Salary range: USD 180,000 - 220,000 per year, plus bonus.
Restricted Stock Units included in all offers.
Final compensation determined based on knowledge, education, abilities, internal equity, and alignment with market data.

Benefits

Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location

Bonus points

Maintainer or significant contributor to an open-source AI, agent, or inference project
Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts
Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA)
An existing technical audience that trusts views on models, agents, and tooling

About the role

Crusoe is hiring for Developer Relations Engineering to build agentic AI systems and show developers how they work.
You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.
The role focuses on technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads.
You will produce documentation, tutorials, white papers, sample applications, and video guides.
You will partner with Product, Engineering, Research, and GTM/Solutions Engineering while working across the open-source agent ecosystem.
Most of your time will go to building and sharing what you build.

View full job page →

Today

GenAI Lead / GCP AI Engineer Lead

Capgemini New York, NY

New York, NY

Today

$105k - $115k/yr Full time Backend Developer Manager Agentic Ai

Apply Now

Job Description

Capgemini is seeking a GenAI Lead / GCP AI Engineer Lead to build and productionize Google Cloud based GenAI solutions for insurance clients.

Responsibilities

Build GenAI applications using Gemini models on the Gemini Enterprise Agent Platform (Vertex AI).
Design and tune prompts for insurance document use cases using structured outputs and function calling (submissions, ACORD forms, COIs, loss runs, policies).
Develop RAG pipelines including chunking, embeddings, Vector Search / Vertex AI Search, and grounding with citations.
Create and deploy agents using Agent Development Kit (ADK) on Agent Engine, integrating tools and APIs.
Extract and classify documents with Document AI using Gemini multimodal input.
Ship services on Cloud Run or GKE, expose through Apigee, and implement CI/CD in Cloud Build.
Move and manage data using BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
Define evaluation sets and run quality, latency, and cost checks using Gen AI evaluation service and golden datasets.
Apply guardrails including PII masking via Sensitive Data Protection (DLP), safety filters, and IAM least privilege.
Collaborate in Agile sprints with QA, UI, and data teams; write clean, tested, documented code.

Requirements

Strong Python experience with FastAPI or Flask, including async development and pytest testing.
Hands-on experience with the Gemini API and/or Vertex AI SDK, or the Google Gen AI SDK.
RAG architecture experience plus at least one vector store such as Vector Search, AlloyDB pgvector, or BigQuery vector search.
LLM framework experience using ADK, LangChain, or LangGraph.
Core GCP capabilities including Cloud Run, Cloud Functions, Cloud Storage, BigQuery, IAM, and Secret Manager.
REST API design, Git, Docker, and CI/CD.
Good written and verbal communication with onsite and client teams.

Technologies

Python, FastAPI, Flask, pytest
Gemini API, Vertex AI SDK, Google Gen AI SDK
Gemini Enterprise Agent Platform (Vertex AI), Agent Development Kit (ADK), Agent Engine
Document AI, Gemini multimodal input
Cloud Run, GKE, Apigee, Cloud Build
BigQuery, Cloud Storage, Pub/Sub, Dataflow
Sensitive Data Protection (DLP), IAM, Cloud Functions, Secret Manager
REST API, Git, Docker
Vector Search, Vertex AI Search, AlloyDB pgvector, BigQuery vector search
LangChain, LangGraph
Gen AI evaluation service, CI/CD, Terraform, Looker, Looker Studio
Model Context Protocol (MCP), Agent2Agent (A2A) protocol

Location

Hartford, CT (onsite)

Salary

USD 105,000 - 115,000 per year (base)

Benefits

Paid time off based on employee grade (A-F) per policy: Vacation: 12-25 days depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Nice to Have

Insurance domain experience (P&C, E&S, specialty, workers' comp) or financial services
Document AI custom extractors; OCR on scanned or handwritten forms
Agent2Agent (A2A) protocol or Model Context Protocol (MCP) tool integration
Model tuning (supervised fine-tuning on Gemini) and model monitoring
Terraform; Looker or Looker Studio dashboards

Certifications (Preferred)

Google Cloud Professional Machine Learning Engineer
Google Cloud Associate Cloud Engineer or Professional Cloud Developer
Google Cloud Generative AI Leader (good to have)

View full job page →

Today

Machine Learning Engineer

Kensho Technologies LLC New York, NY

New York, NY

Today

$209k - $250k/yr Full time Analytics Artificial Intelligence Data Analysis

Apply Now

Job Description

Join Kensho Technologies LLC to build predictive, data-driven machine learning products that use statistical analysis to turn complex financial data and documents into actionable insights. This onsite role in New York, NY combines original research with production-quality model development, with support for learning, mentorship, and a team environment backed by strong benefits.

Compensation: Anticipated base salary range of $209,000 to $250,300 USD per year.

What you’ll do

Identify, research, prototype, and build predictive data-driven products using statistical analysis and machine learning.
Conduct original research and data analysis on large proprietary and open-source datasets to surface patterns, associations, correlations, outliers, and anomalies.
Formulate and test hypotheses about distributions and regularities in financial data and related documents.
Design, implement, and evaluate statistical and machine learning models to explain and predict patterns across vast amounts of financial information.
Write production code implementing predictive models and algorithms.
Create tests that support robustness and reliability of productionized models.
Participate in peer review of research, prototypes, models, and code.
Stay current with the theory and application of statistical and machine learning techniques.
Maintain and expand expertise with tools and packages for numerical and statistical programming, data analysis, and machine learning modeling.

What you bring

Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field, plus one (1) year of experience in data science or a related quantitative occupation.
One (1) year of experience that includes Machine Learning (ML) and artificial intelligence (AI) tools.
One (1) year of experience that includes data preprocessing, exploration, and visualization tools, including Jupyter, Matplotlib, Pandas, and Scikit-learn.
One (1) year of experience that includes data management and storage tools.
One (1) year of experience that includes deployment and machine learning operations.
One (1) year of experience that includes conducting and publishing machine learning research and producing code.
One (1) year of experience that includes agentic systems, including Large Language Model (LLM) code generation and tool utilization.

Tools and technologies

Jupyter
Matplotlib
Pandas
Scikit-learn
Large Language Model (LLM)

Benefits and support

Medical, Dental, and Vision insurance with 100% company paid premiums.
Unlimited Paid Time Off.
26 weeks of 100% paid parental leave (paternity and maternity).
401(k) plan with 6% employer matching.
Generous company matching on donations to non-profit charities.
Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences.
Plentiful snacks, drinks, and regularly catered lunches.
Dog-friendly office (CAM office).
Bike sharing program memberships.
Compassion leave and elder care leave.
Mentoring and additional learning opportunities.
Opportunity to expand your professional network and participate in conferences and events.

Recruitment fraud alert

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment or delivery of equipment.

View full job page →

Today

Machine Learning Engineer 5 (Senior Manager, IC)

Capital One New York, NY

New York, NY

Today

$251k - $286k/yr Full time Manager Artificial Intelligence Big Data

Apply Now

Job Description

Capital One is seeking a Machine Learning Engineer to design, build, and scale machine learning models and platforms that move from development into production. In this role, you will help deliver ML solutions across modeling, data engineering, and operations, including deployment, monitoring, and retraining at scale.

This position is based in New York, NY (onsite) and targets an experienced engineer with a strong background in ML engineering, distributed systems, and production software practices. The salary range for this role is USD 250,800 - 286,200 per year.

What you’ll do

Design, build, and/or deliver ML models and components that address real-world business problems in collaboration with Product and Data Science.
Build and scale massive multi-tenant platforms for large footprint ML model training and/or serving.
Apply ML modeling knowledge to influence infrastructure decisions, including model and data/feature selection, training, hyperparameter tuning, dimensionality, and validation, with attention to bias/variance.
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Work within a cross-functional Agile team to create and improve software powering state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Use or build cloud-based architectures and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines that feed ML models.
Use CI/CD best practices, including test automation and monitoring, to support reliable deployment of ML models and application code.
Help ensure code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML systems follow Responsible and Explainable AI best practices.
Use programming languages such as Python, Scala, or Java.

Required qualifications

Bachelor’s Degree or higher in Computer Science, Machine Learning, or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
6+ years programming with Python, Java, Golang, or C++.
6+ years Machine Learning experience using PyTorch or TensorFlow and libraries such as Pandas, NumPy, Scikit-learn.
6+ years experience using and operating large scale distributed systems (including Spark and Ray) to prepare AI/ML data.
4+ years deploying and operating ML solutions in production and operating production services in the cloud (AWS, GCP, Azure), including using Kubernetes to manage containerized ML systems at scale.
Master’s or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field.
5+ years optimizing ML algorithms, configurations, and infrastructure.
5+ years following software development best practices including source control, testing, code reviews, and CI/CD.
5+ years building resilient software with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring and alarms, and incident response plan preparation.
5+ years applying ML techniques (Supervised, semi-supervised, and unsupervised learning, reinforcement learning, etc.) across model types and architectures including Regression, Classification, Clustering, and RNNs, CNNs, LSTMs, Transformers, along with concepts for training (loss function, hyperparameters, regularization) and model evaluation to diagnose issues such as underfitting and overfitting.
5+ years designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
Demonstrated ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences.

Technologies

Python, Scala, Java, Golang, C++, PyTorch, Tensorflow, Pandas, NumPy, Scikit-learn
Spark, Ray, AWS, GCP, Azure, Kubernetes
CI/CD
RNNs, CNNs, LSTMs, Transformers

Compensation and benefits

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.

Salary information by location

Cambridge, MA: $229,900 - $262,400
McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
San Francisco, CA: $250,800 - $286,200
San Jose, CA: $250,800 - $286,200

Recruiting support

If you visited the website seeking information on employment opportunities or to apply and require accommodation: 1-800-304-9102 or RecruitingAccommodation@capitalone.com.
For technical support or questions about Capital One’s recruiting process: Careers@capitalone.com.