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New Grad Machine Learning Jobs in New York (NOW HIRING)

Hang

Machine Learning Engineer

New York, NY · On-site +1

Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques ... and technologies that could benefit Hang. * Technical Leadership: Provide insights and guidance on ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days onsite) Rate - $85/hr Analyze large and complex datasets to derive actionable insights and inform ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... of New York, NY. Pay and Benefits The pay range for this position is $125.00 - $125.00/hr.

Trading Interview

Machine Learning Engineer

Manhattan, NY · On-site

$55 - $83/hr

... new ideas with relatively little friction. If you'd like to learn more, you can have a look at our ... Machine Learning page . During the program, you'll work on projects mentored closely by the ...

ExaCare Inc

Machine Learning Engineer

Manhattan, NY · On-site

$100 - $130/hr

Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute ...

Apex Systems

Machine Learning Engineer

Jersey City, NJ · On-site

Jersey City, New Jersey (Onsite) Employment Type: Contract Contract Duration: 12 Months Role Overview This position involves applying advanced machine learning and natural language processing ...

New

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure system reliability, reproducibility, and performance. Qualifications : Required : • 5+ years of ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... unlocks new levels of optimization and automation in design, manufacturing, and operations ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

... new machine learning workflows and pipelines into our product and deploy to customers. • Ensure system reliability, reproducibility, and performance. Qualifications : Required : • 5+ years of ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in New York

New Grad Machine Learning information

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How much do new grad machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for new grad machine learning in New York is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $29.76 per hour, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in New York?

For New Grad Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in New York look for?

The top searched job categories for New Grad Machine Learning jobs in New York are:

What cities in New York are hiring for New Grad Machine Learning jobs?

Cities in New York with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $53,274 per year, or $25.6 per hour.

Machine Learning Engineer

Hang

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Key responsibilities

  • Design, build, and deploy machine learning models to enhance platform capabilities such as personalization, predictive analytics, and automated decision-making.

  • Analyze large datasets to identify trends and inform model development and business strategies.

  • Work closely with software engineers, data scientists, and product managers to integrate machine learning models into the platform and ensure seamless deployment.

Job description

Hang is building the future of loyalty for brands.
Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.
Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).
Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.
About the Role
We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
What You'll Do
  • Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
  • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
  • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency.
  • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
  • Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
  • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
Who You Are
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
  • 5+ years of experience in machine learning and data related roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
  • Experience with data processing and data analytics.
  • Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
  • Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
  • Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
  • Experience with snowflake, Postgres, RDS, Redis and AWS.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to work well in a team.
  • Experience with Ruby is a plus.
What Would Set You Apart
  • You have a passion for consumer brands and loyalty programs.

Benefits
  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave
  • Competitive salary & equity compensation.
  • Quarterly company offsites
Hang logo

About Hang

Sourced by ZipRecruiter

Industry

Software development

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2021

Social media

Twitter

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