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Junior Machine Learning Jobs in New York (NOW HIRING)

Junior Machine Learning Engineer

Manhattan, NY · On-site

$85 - $110/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work ...

New

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models ...

New

Mentor junior engineers and contribute to engineering best practices * Research and evaluate new ML techniques and frameworks What We're Looking For * 5+ years of experience in machine learning or ...

New

Sr. Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: * Minimum of 5 years of experience in applied ML engineering ...

Sr. Machine Learning Engineer

Manhattan, NY · On-site

$180 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For * Minimum of 5 years of experience in applied ML engineering ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning ... junior engineers. • Share domain knowledge and help build genuine technical depth on the team ...

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You ... Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You ... Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.

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Junior Machine Learning information

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

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

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

Infographic showing various Junior 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 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Junior Machine Learning Engineer

Errgo

Manhattan, NY • On-site

$85 - $110/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle—from data preparation and model training through evaluation and production deployment.The ideal candidate is passionate about machine learning, has strong programming fundamentals, and is eager to apply academic knowledge to real-world problems. This position provides mentorship, exposure to production ML systems, and the opportunity to grow technical skills in a supportive environment.The engineer will work on meaningful projects that directly impact users, learning MLOps best practices while contributing to model development and pipeline maintenance.

What you'll do
  • Assist in developing and training machine learning models using PyTorch or TensorFlow
  • Write Python code for data preprocessing, feature engineering, and model evaluation
  • Help build and maintain ML pipelines for training and inference
  • Collaborate with data engineers to access and process training data
  • Document model performance, experiments, and technical decisions
  • Learn MLOps practices and contribute to model deployment workflows
What you bring
  • 0-2 years of experience in machine learning or data science
  • Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn)
  • Understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
  • Familiarity with SQL and data manipulation (pandas, numpy)
  • Exposure to cloud platforms (AWS, GCP) is a plus
  • Bachelor's or Master's degree in Computer Science, Statistics, or related field
What you get
  • Medical, dental, and vision insurance
  • 401(k)
  • Paid time off

Job details and compensation are subject to change.

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