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Junior Machine Learning Jobs in New York (NOW HIRING)

Warnerbros

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

About the Role We're seeking a Senior Machine Learning Engineer to develop and deploy machine ... You will also act as a mentor to junior scientists, collaborate cross-functionally with product ...

DailyPay

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 ...

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

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.

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

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.

adMarketplace

Lead Machine Learning Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Mentor junior team members in achieving engineering excellence and be a change agent on the team ... Department Software Engineering Role Lead Machine Learning Engineer Locations New York

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Junior Machine Learning information

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 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 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 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 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 are popular job titles related to Junior Machine Learning jobs in New York? For Junior Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in New York look for? The top searched job categories for Junior 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:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 3 days ago

Job description

Job Summary:
ZeroMark builds AI-driven counter-drone systems that work in combat, focusing on practical, field-tested technology. They are seeking a Senior Machine Learning Operations Engineer to design and implement machine learning pipelines, collaborate with software engineers, and mentor junior engineers, all while working in defense contexts.
Responsibilities:
• Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
• Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
• Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
• Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
• Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
• Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
Required:
• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
• Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
• Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with MLOps tools and practices.
• Experience deploying a variety of edge systems.
• Experience with TensorRT and other similar technologies.
• Deep knowledge of C++ and Python.
• Experience or strong interest in defense, aerospace, or related industries is highly desirable.
• Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to translate complex technical concepts into clear and concise language.
• Strong analytical and problem-solving skills, with a proactive and innovative approach.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred:
• Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

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