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Machine Learning Engineer Jobs in Ronkonkoma, NY

Varsity Tutors

Machine Learning Tutor

Hempstead, NY · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AQR

Data Scientist, Machine Learning

Greenwich, CT

$180K - $200K/yr

You will serve as a bridge between data engineering and quantitative research. Working directly ... for machine learning by developing robust data preparation and quality workflows . Your ...

New

AQR

Data Scientist, Machine Learning

Greenwich, CT · On-site

You will serve as a bridge between data engineering and quantitative research. Working directly ... for machine learning by developing robust data preparation and quality workflows Your ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT · On-site

$111K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Pwc

AI Engineer

Stamford, CT

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Engineer

Melville, NY

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Ronkonkoma, NY

Machine Learning Engineer information

See Ronkonkoma, NY salary details

$33.1K

$135.5K

$203.6K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Ronkonkoma, NY is $135,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $163,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Ronkonkoma, NY?

The most popular types of Machine Learning Engineer jobs in Ronkonkoma, NY are:

What are popular job titles related to Machine Learning Engineer jobs in Ronkonkoma, NY?

For Machine Learning Engineer jobs in Ronkonkoma, NY, the most frequently searched job titles are:

What cities near Ronkonkoma, NY are hiring for Machine Learning Engineer jobs?

Cities near Ronkonkoma, NY with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Ronkonkoma, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,510 per year, or $65.1 per hour.

Junior Machine Learning Engineer - Medical Imaging

Holobeam Technologies

Bethpage, NY • On-site

Other

Medical, Retirement

Posted 4 days ago

Job description

Junior Machine Learning Engineer – Medical Imaging


About Holobeam

Holobeam Technologies is a cutting-edge medical technology company developing advanced medical imaging technologies designed to improve clinical care and help save lives.

We are looking for a Junior Machine Learning Engineer – Medical Imaging to join our team and work at the intersection of medical imaging, computer vision, machine learning, and data quality.


What You’ll Do

  • Review and validate medical imaging studies, DICOM metadata, annotations, segmentation masks, and model-generated outputs.
  • Develop reproducible quality-control and data-validation workflows.
  • Train, benchmark, and evaluate computer vision and segmentation models.
  • Identify data, preprocessing, annotation, and model-output issues.
  • Perform error analysis and root-cause analysis of model and data failures.
  • Prepare validated datasets and outputs for downstream ML development.
  • Document methods, experiments, decisions, and results.
  • Work with technical and clinical stakeholders and escalate cases requiring additional review.


What We’re Looking For

  • Strong Python skills and hands-on experience with PyTorch.
  • Experience training and evaluating computer vision or segmentation models.
  • Practical experience with medical imaging data.
  • Working knowledge of DICOM.
  • Understanding of model evaluation, experimental design, dataset partitioning, and error analysis.
  • Familiarity with imaging anatomy sufficient to recognize technically inadequate studies or anatomically implausible outputs without performing diagnostic interpretation.
  • Strong analytical skills, attention to detail, and technical communication.

Experience with X-ray, CT, medical-image segmentation, annotation workflows, or medical-imaging data pipelines is a plus.


Why Holobeam

You’ll work on challenging technology with meaningful healthcare applications while gaining hands-on experience across the machine learning lifecycle. As Holobeam grows, strong performers will have the opportunity to take on increasing technical ownership and responsibility.


Location

Preferred Beth Page New York / Hybrid or remote is possible for exceptional candidates, with daily / periodic in-person collaboration based on team and project needs.


Compensation & Benefits

  • Competitive salary, equity stock options, 401K, bonuses, full benefits including an excellent health care plan.
  • Long Island, NY (ranked the safest county in the U.S.)
  • High autonomy, rapid iteration, and real technical influence

If you are excited about applying machine learning and computer vision to medical imaging and want to work on technology with the potential to improve and save lives, we would like to hear from you.


Holobeam Technologies is an equal opportunity employer.


Contact: Jobs@holobeamtech.com

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