Top 10 Companies Hiring AI Engineers in New York City, NY in 2026

Table of Contents

• Why NYC's AI Scene is Booming
• Amazon
• Datadog
• MongoDB
• Bloomberg
• JPMorgan Chase
• Goldman Sachs
• Meta
• Two Sigma
• Google
• OpenAI
• Finding Your AI Career Path in NYC
• Frequently Asked Questions

Amazon

While its Seattle roots are famous, Amazon’s sprawling NYC presence in Hudson Yards and Manhattan West tackles a uniquely tangible AI challenge: applying machine learning to the physical world. Engineers here build the predictive systems that orchestrate a global, real-time supply chain, personalize shopping for millions, and make Alexa conversations feel natural.

The work is intensely applied and organized into vertical teams like Advertising, Alexa, and Fulfillment. They leverage tools like AWS SageMaker and MXNet, often using Java and C++ for high-performance model serving. The interview process famously tests both deep technical skills and alignment with Amazon’s Leadership Principles through rigorous system design drills.

In New York, the compensation reflects the scale of the problems, with senior engineers (L6) earning between $170,000 and $235,000 in total compensation. The unique draw is impact - you're not just optimizing digital metrics but building AI that physically moves billions in goods worldwide, a complex ballet of prediction and logistics few other kitchens can replicate.

Datadog

Headquartered in the heart of NYC, Datadog represents a different flavor of AI engineering, transforming from an observability platform into an AI-driven insights engine. For those fascinated by massive-scale data plumbing and "needle-in-a-haystack" detection, this is a premier destination. Its core mission is using machine learning to bring order to the chaos of modern cloud infrastructure.

ML teams here are embedded within product groups, building on one of the planet's largest real-time data streams using Go, Python, and PyTorch. Projects focus on autonomous operations: anomaly detection across billions of metrics, predictive scaling to prevent outages, and automated root-cause analysis. Reflecting this, the interview process emphasizes practical coding and system design for distributed data.

In the NYC market, senior AI engineers at Datadog command total compensation between $190,000 and $280,000. The compelling draw is the data velocity and critical nature of the problems. Finding a nascent security threat in petabytes of telemetry is a uniquely satisfying form of problem-solving with immediate, high-stakes impact for thousands of global companies.

MongoDB

As generative AI reshaped the tech landscape, MongoDB, with its NYC headquarters, executed a strategic pivot to become the essential "database for AI," a move reflected in the city's booming AI hiring trends. This isn't about building flashy end-user models; it's about engineering the foundational infrastructure - specifically, retrieval-augmented generation (RAG) pipelines - that powers countless other AI applications.

The tech stack is built around extending the core database with AI-native features like Atlas Vector Search and integrations with platforms like Voyage AI. Engineers focus on optimizing embedding models, designing low-latency search algorithms, and creating tools for seamless RAG implementation. As such, the interview process deeply assesses the intersection of machine learning and database systems, a niche but critical skill set.

In New York's competitive scene, this architect-level impact comes with strong compensation: mid-to-senior ML engineers at MongoDB earn between $180,000 and $265,000 in total compensation. You're building the roads and highways - vector indexes, query planners - on which the AI race is run, offering a stable, high-growth path distinct from the frenzy of foundational model development.

Bloomberg

Bloomberg’s NYC headquarters operates as a temple to a specific, high-stakes form of AI: financial intelligence. The company commands what is arguably the world's most valuable proprietary dataset for natural language processing and time-series analysis - the relentless flow of news, data, and communications through the Bloomberg Terminal. Engineers here build models that can literally move global markets.

The work centers on a centralized AI engineering team that supports the entire company, working in Python and C++ with PyTorch on specialized NLP pipelines. Projects include sentiment analysis on real-time news, automated financial summarization powered by models like BloombergGPT, and constructing vast financial knowledge graphs. The need for both speed and unerring accuracy makes the interview process rigorous, testing proficiency in low-latency system design and deep ML theory.

In the heart of Midtown Manhattan, this domain expertise commands a premium. Senior ML Engineers at Bloomberg typically earn between $200,000 and $300,000+ in total compensation. The unique allure is the potent combination of cutting-edge AI and the high-reward world of finance, where a model's insight can translate to millions in asset movement within moments.

JPMorgan Chase

As the largest bank in the U.S., JPMorgan Chase’s massive NYC footprint hosts one of the most substantial applied AI research operations in finance. This is where artificial intelligence meets fiduciary duty and regulatory compliance, operating under constraints with zero tolerance for "black box" models on trillion-dollar balance sheets.

The bank maintains both a dedicated AI Research group and embedded tech teams across its divisions. They work with Python, Spark, and PyTorch on proprietary MLOps platforms on projects critical to the global system: AI-driven fraud detection, algorithmic underwriting, and large language models like "DualEntry" for automated financial reporting. Reflecting this responsible approach, the interview process heavily emphasizes model interpretability, fairness, and bias mitigation, as crucial as raw predictive performance.

Compensation in New York is robust, with Associates averaging around $190,000 and VP/Lead roles reaching $260,000+. The fascinating challenge is working within the constraint. You have near-limitless data and problem scale, but must build models that are not only accurate but explainable, fair, and secure enough to be entrusted with the integrity of the global financial system, a unique calculus in NYC's AI landscape.

Goldman Sachs

If JPMorgan represents broad-scale financial AI, Goldman Sachs embodies its quantitative, markets-focused apex. Based in Lower Manhattan, the firm's AI engineers - often within Quantitative Strategies teams - build models that interface directly with the frenetic pace of global trading floors, where the impact of code is measured in daily profit and loss.

The environment is intensely mathematical, blending Python with proprietary languages like Slang and custom libraries for quantitative finance. Projects involve developing high-frequency trading signals, risk management simulations using Monte Carlo methods, and automated market-making algorithms. The interview is notoriously rigorous, demanding deep mastery of probability, statistics, and ML theory rather than generic coding puzzles.

In NYC, total compensation reflects this direct link to revenue. While Analysts start around $160,000, Senior and VP roles command between $247,000 and $315,000+, as detailed in salary data for the region. The thrill is the immediacy and precision: you're building AI that operates in milliseconds, where a slight predictive edge can yield monumental returns, placing you at the algorithmic heart of global markets.

Meta

Meta’s substantial NYC offices, particularly its sprawling Hudson Yards presence, serve as a central node for its ambitions beyond social media. As the creator and primary steward of PyTorch, the company offers a unique open-source-first culture, allowing engineers to work on some of the world's most complex recommendation systems while shaping the industry's foundational tools, including the open-release Llama series of models.

Engineers are typically split between FAIR (Fundamental AI Research) and applied product teams, working natively on PyTorch with massive internal GPU clusters. Projects range from the algorithms powering Instagram Reels and Facebook Feed to generative AI tools for ad creative and computer vision for AR/VR devices. The interview process reflects this full-stack mindset, including specialized rounds focused on "Coding for ML" and the complete model lifecycle.

In New York's competitive market, total compensation is highly attractive, with senior engineers (E5) earning between $190,000 and $260,000. Beyond the salary, the major draws are the unparalleled scale of data (trillions of daily interactions), the open-source ethos that shapes global AI development, and the ability to move between blue-sky research and product deployments that reach billions of users.

Two Sigma

Based in Greenwich, Connecticut with a massive NYC presence, Two Sigma represents the pinnacle of data-driven financial AI within the quant hedge fund world. Here, the AI model is the core product. The culture is an intense, collaborative blend of top-tier researchers and engineers working in specialized "pods" to unearth predictive signals from oceans of alternative data, including satellite imagery and earnings call transcripts.

The tech stack is engineered purely for performance, utilizing Python, Spark, TensorFlow, and custom high-performance computing clusters. Every project is exclusively geared toward alpha generation and trade execution: deep learning on novel datasets, reinforcement learning for order routing, and NLP for market sentiment. Mirroring this focus, the interview process is notoriously rigorous, demanding mastery of ML theory, statistics, and algorithmic optimization above all else.

In the New York metro area's financial ecosystem, compensation reflects the direct, uncorrupted link to fund performance. While base salaries are substantial, total compensation for senior AI/ML roles, including significant performance-based bonuses, can realistically exceed $350,000 to $500,000+. The appeal is the pure, unadulterated focus on predictive accuracy and innovation, with resources and talent density rivaling any tech giant, all dedicated to solving the singular, high-stakes problem of financial prediction.

Google

Google’s NYC campus in Chelsea and its expanding footprint across the city serve as a cornerstone of the local AI landscape, offering a rare blend of environments. Engineers here can pivot between blue-sky research through Google Research and the massive-scale applied AI that powers products like Search, Ads, and YouTube, all with access to proprietary TPU hardware and datasets of nearly unimaginable scale.

The work happens in specialized units utilizing frameworks like TensorFlow, JAX, and PyTorch, often leveraging the company's own Google Cloud Vertex AI platform. Projects span the entire AI spectrum, from integrating large language models like Gemini across the ecosystem and developing advanced search ranking algorithms to optimizing the ad-click prediction models that form a core revenue engine. The interview process reflects this breadth, being a classic, rigorous blend of data structures, algorithms, and specialized ML system design.

For NYC-based engineers, total compensation is competitive, ranging from $140,000-$165,000 for entry-level (L3) roles to $185,000-$250,000 for senior engineers (L5). The unique advantage is the unparalleled scope. You can contribute to foundational research that defines the next decade of AI or deploy models to billions of users overnight, all within the same corporate universe backed by what is arguably the best AI infrastructure on the planet.

OpenAI

While headquartered in San Francisco, OpenAI’s significant and expanding NYC presence solidifies it as the most coveted destination for those aiming to work at the absolute frontier of artificial general intelligence. This transcends a typical tech role; it's a mission-driven pursuit to shape the most powerful technology of our era, with all the intensity and profound responsibility that entails, fueled by the kind of billion-dollar infrastructure investments powering the AI boom.

Engineers work in specialized research or applied teams, building on PyTorch and massive, custom GPU/NPU superclusters. Projects involve advancing the GPT-series models, developing multi-modal capabilities, and the critical, cutting-edge work on AI safety and alignment. The interview process is designed to identify those who can push boundaries, with deep dives into deep learning fundamentals, research paper comprehension, and high-performance coding.

In New York's talent market, compensation is structured to attract and retain the world's best, often in the $300,000 to $600,000+ range with significant equity in the form of Profit Participation Units (PPUs). The "why" is unequivocal: you are working directly on the systems defining the future of humanity's relationship with intelligence itself. For those drawn to the hardest problems with the highest potential impact, there is no higher-caliber kitchen in NYC or the world.

Finding Your AI Career Path in NYC

Scanning this curated menu from the infrastructure focus of MongoDB to the AGI frontier at OpenAI, the real takeaway for 2026 isn't which company is universally "best." It's that New York City’s AI scene offers a complete culinary map of the entire field. The median salary of $187,500 is merely your entry price to this feast; your real task is matching your professional appetite to the right kitchen.

Do you crave the applied, physical-world scale of Amazon's logistics, the quantitative intensity and high-stakes rewards of Two Sigma, or the foundational model research happening at Google and OpenAI? As the data shows, the market is richly divided between technology (46% of roles) and financial services (14%), representing vastly different cultures, problems, and paces. Your choice defines whether you'll be optimizing ad clicks, detecting financial fraud, or indexing the world's information for retrieval.

As Kosha Trivedi's analysis confirms, NYC has successfully imported the elite technical talent to service its historic capital and business demand. The feast is laid out before you, from Hudson Yards to Downtown Brooklyn. Now, with the city’s AI engineers leading the fastest-growing job sector, it's about looking past the ranking to find the plate - the specific blend of culture, stack, and impact - that will satisfy your professional hunger for years to come.

Frequently Asked Questions