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Machine Learning Project Manager Jobs in New York

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

About the Projects: Kitware's employees have unique opportunities to interact and collaborate ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Work closely with software engineers, data scientists, and product managers to integrate ML models ...

Kitware

Machine Learning Engineer

Manhattan, NY · On-site

$85K - $125K/yr

About the Projects: Kitware's employees have unique opportunities to interact and collaborate ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Our client is a process driven investment management group consisting of a team of researchers ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Experience with build and dependency management tools (Gradle, sbt, Maven, npm) * Understanding of ...

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All JobsMachine Learning Project Manager JobsMachine Learning Project Manager Jobs in New York

Machine Learning Project Manager information

See New York salary details

$48.7K

$105.6K

$169K

How much do machine learning project manager jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning project manager in New York is $105,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $123,600.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning Project Managers will continue to be essential as they oversee AI development, coordinate teams, and ensure project goals are met. Roles requiring complex problem-solving, creativity, and human judgment—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs benefit from interpersonal skills, critical thinking, and adaptability that AI cannot easily replicate.

Will AI replace PMP?

AI is unlikely to fully replace Project Management Professionals (PMP) as the role requires leadership, strategic thinking, and stakeholder communication that AI cannot replicate. Instead, AI tools can support PMPs by automating routine tasks, data analysis, and scheduling, allowing them to focus on complex decision-making and team management. Certification and experience remain essential for effective project management in an AI-enhanced environment.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large organizations or tech companies. These positions usually require advanced skills in AI, machine learning, and leadership, along with significant experience and sometimes specialized certifications. Compensation at this level reflects the complexity and strategic importance of AI initiatives within the company.

What is the difference between Machine Learning Project Manager vs Data Scientist?

AspectMachine Learning Project ManagerData Scientist
Required CredentialsBachelor's or Master's in Business, Computer Science, or related; PMP or Agile certificationsDegree in Computer Science, Statistics, or related; often a Master's or PhD
Work EnvironmentProject teams, cross-functional collaboration, client interactionsResearch, data analysis, model development in labs or offices
Industry UsageTech companies, finance, healthcare, where managing ML projects is keyData-driven roles across industries, focusing on model building and analysis

The main difference is that a Machine Learning Project Manager oversees ML projects, coordinating teams and ensuring timely delivery, while a Data Scientist focuses on developing models and analyzing data. Both roles require technical knowledge, but their core responsibilities differ significantly.

What is the salary of AI ML project manager?

The salary of a Machine Learning Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and benefits.
Machine Learning Project Manager jobs near you

Machine Learning Intern

GPTZero

New York, NY • On-site

Internship

Medical, Dental, PTO

Posted 16 days ago

Job description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we're building a category-defining company at the intersection of AI and information integrity.
Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
What we're looking for
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around.
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Responsibilities
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
  • Design, train, and fine-tune state-of-the-art large language models
  • Develop AI agents combined with retrieval-augmented language models
  • Build efficient and scalable ML training and inference systems
  • Stay up-to-date with the latest literature and emerging technologies to solve novel problems
  • Work closely with product and design teams to develop intuitive applications that create societal impact
Qualifications
  • Proficiency in Python and PyTorch
  • Experience pushing or implementing the cutting-edge in machine learning
  • Self-starter and hungry learner
  • Highly motivated to make positive societal impact
  • Ability to wear multiple hats
  • Visa for work in Canada or US
  • Bonus:
    • strong open-source portfolio
    • publications at top-tier ML venues
    • experience working in an early-stage startup environment
    • understanding of how machine learning models fail in the wild

Who you'll be joining
Our Team
You will be working directly with
  • Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
  • George (our AI research lead) PhD from University of Toronto and ex-AWS research.
  • Olivia (our head of design) on translating your research into outputs for millions of users.
  • Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.

Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.
Together, we are committed to making a permanent impact on the future of writing, and on humanity.
Our Angels and Advisors
  • Tom Glocer (Legendary Reuters CEO)
  • Mark Thompson (Legendary NYT CEO and current CNN chief executive)
  • Jack Altman (CEO of Lattice, brother of Sam Altman)
  • Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI's original GPT paper)
  • Emad Mostaque (CEO of Stability AI)
  • Doug Herrington (CEO of Worldwide Amazon Stores)
  • Brad Smith (President of Microsoft)
  • Tripp Jones (Partner at Uncork Capital)
  • Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
  • Russ Heddleston (CEO of Docsend)
  • Alex Mashrabov (Snapchat, Director of AI)
  • Faizan Mehdi (Affinity, Director of Demand Generation)
Our Perks
  • Health, dental, and mental health benefits
  • Hybrid work in Toronto and NYC offices
  • Competitive salary
  • Flexible PTO
  • Regular company retreats
  • Mentorship opportunities with our world-class team, advisors, and investors
  • Wellness and learning stipend

At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

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