Machine Learning Engineer Visa Sponsorship Jobs in New York
New York is one of the top states for machine learning engineer visa sponsorship, driven by major tech employers like Google, Amazon, and Bloomberg in New York City, alongside a growing fintech and AI research presence. Meta, Two Sigma, and dozens of AI-focused startups actively hire and sponsor ML engineers across the state.
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Get Access To All JobsWHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.
Role Description
As a Principal AI/ML Engineer in our AdTech team, you will be a key individual contributor driving the development of advanced machine learning models and AI-driven features for our advertising platform. You will design, build, and deploy ML solutions for campaign optimization, user personalization, and creative content generation, operating at large scale and low latency to handle billions of ad events per day. This role requires deep expertise in machine learning techniques and the programmatic advertising ecosystem (e.g., real-time bidding and digital marketing data). You will work closely with engineering, product, and data science teams to ensure our ML systems are highly performant, scalable, and reliable. You will also spearhead innovation by leveraging large language models (LLMs) and intelligent agent architectures to create new capabilities that automate and enhance advertising campaigns.
Key Responsibilities
- Machine Learning Leadership: Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases. You will set technical direction for integrating AI/ML into our Demand-Side Platform and broader ad tech stack.
- ML System Design: Architect and evolve the end-to-end machine learning pipeline – from data ingestion and training to real-time inference, for our real-time bidding, targeting, and optimization algorithms. Ensure that models seamlessly integrate with our ad serving architecture and handle low-latency, high-throughput requirements.
- Technical Strategy: Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Continuously assess emerging technologies to keep our AdTech capabilities on the cutting edge.
- AI & Agentic Applications: Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes. Leverage LLMs and generative AI to enable autonomous campaign management tasks such as audience segmentation, dynamic bid adjustments, and creative asset generation.
- Cross-Functional Collaboration: Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Work closely with stakeholders to deliver innovative features – including those powered by Large Language Models (LLMs), that enhance our advertising products.
- Performance & Reliability: Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment. Optimize algorithms and infrastructure for speed and scalability, and implement monitoring to maintain model performance and uptime in production.
- Mentorship & Best Practices: Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices. Review code and models, share knowledge, and champion continuous improvement across teams.
Required Qualifications
- 10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role (preferably in the AdTech/MarTech industry).
- Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines for large-scale applications.
- Deep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchanges.
- Proficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML tools.
- Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training models.
- Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasets.
- Expertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storage.
- Experience with various data stores, including both SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis).
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing services at scale.
- Excellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging.
- Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns.
- Experience with machine learning model serving and optimization for real-time inference applications (latency-critical environments).
- Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
- Knowledge of microservices architecture and event-driven design patterns in distributed systems.
- A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
- And more!!
SALARY RANGE
The salary range for this role is $300,000 - $400,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.
Role Description
As a Principal AI/ML Engineer in our AdTech team, you will be a key individual contributor driving the development of advanced machine learning models and AI-driven features for our advertising platform. You will design, build, and deploy ML solutions for campaign optimization, user personalization, and creative content generation, operating at large scale and low latency to handle billions of ad events per day. This role requires deep expertise in machine learning techniques and the programmatic advertising ecosystem (e.g., real-time bidding and digital marketing data). You will work closely with engineering, product, and data science teams to ensure our ML systems are highly performant, scalable, and reliable. You will also spearhead innovation by leveraging large language models (LLMs) and intelligent agent architectures to create new capabilities that automate and enhance advertising campaigns.
Key Responsibilities
- Machine Learning Leadership: Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases. You will set technical direction for integrating AI/ML into our Demand-Side Platform and broader ad tech stack.
- ML System Design: Architect and evolve the end-to-end machine learning pipeline – from data ingestion and training to real-time inference, for our real-time bidding, targeting, and optimization algorithms. Ensure that models seamlessly integrate with our ad serving architecture and handle low-latency, high-throughput requirements.
- Technical Strategy: Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Continuously assess emerging technologies to keep our AdTech capabilities on the cutting edge.
- AI & Agentic Applications: Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes. Leverage LLMs and generative AI to enable autonomous campaign management tasks such as audience segmentation, dynamic bid adjustments, and creative asset generation.
- Cross-Functional Collaboration: Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Work closely with stakeholders to deliver innovative features – including those powered by Large Language Models (LLMs), that enhance our advertising products.
- Performance & Reliability: Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment. Optimize algorithms and infrastructure for speed and scalability, and implement monitoring to maintain model performance and uptime in production.
- Mentorship & Best Practices: Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices. Review code and models, share knowledge, and champion continuous improvement across teams.
Required Qualifications
- 10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role (preferably in the AdTech/MarTech industry).
- Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines for large-scale applications.
- Deep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchanges.
- Proficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML tools.
- Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training models.
- Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasets.
- Expertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storage.
- Experience with various data stores, including both SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis).
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing services at scale.
- Excellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging.
- Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns.
- Experience with machine learning model serving and optimization for real-time inference applications (latency-critical environments).
- Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
- Knowledge of microservices architecture and event-driven design patterns in distributed systems.
- A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
- And more!!
SALARY RANGE
The salary range for this role is $300,000 - $400,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
Machine Learning Engineer Job Roles in New York
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Search Machine Learning Engineer Jobs in New YorkMachine Learning Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in New York?
Large tech and finance firms with significant New York presences are among the most active sponsors for machine learning engineers. Google, Amazon, Bloomberg, Two Sigma, JPMorgan Chase, and IBM have consistent H-1B visa filing histories for ML roles. Beyond those, New York's AI startup ecosystem, concentrated in Manhattan and Brooklyn, includes companies like Hugging Face and Cohere that also sponsor international engineers.
Which visa types are most common for machine learning engineer roles in New York?
The H-1B is the most common visa category for machine learning engineers in New York, given that ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Those already holding F-1 OPT or STEM OPT can work while an H-1B petition is pending.
Which cities in New York have the most machine learning engineer sponsorship jobs?
New York City accounts for the overwhelming majority of machine learning engineer sponsorship opportunities in the state. Manhattan's Midtown and Flatiron districts host major tech offices, while Brooklyn's growing tech corridor has attracted AI startups and research labs. Albany and Buffalo have smaller but emerging tech presences, particularly through university-affiliated research initiatives, but the volume of ML sponsorship roles there is significantly lower than in NYC.
How to find machine learning engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in New York by visa sponsorship willingness, saving you from sifting through listings that won't consider work authorization. You can browse active ML openings across New York City and the broader state, with roles sourced from employers that have documented H-1B filing histories, making your job search more targeted and efficient.
Are there any New York-specific factors machine learning engineers should know about visa sponsorship?
New York City's prevailing wage levels for machine learning engineers are among the highest in the country, which affects the Labor Condition Application your employer files as part of the H-1B process. The city's density of universities, including Columbia, NYU, and Cornell Tech on Roosevelt Island, creates a strong pipeline of ML talent and employer familiarity with sponsoring international candidates. Competition for sponsored roles is high given the concentration of qualified applicants.
What is the prevailing wage for sponsored machine learning engineer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.