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Mobile Machine Learning Jobs in New York (NOW HIRING)

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team ... Collaborate closely with product, mobile, and design teams to translate ML capabilities into user ...

Machine Learning Engineer

New York, NY ยท On-site

$205K - $235K/yr

You'll work at the intersection of backend systems and machine learning, building the ... Collaborate closely with product, mobile, and design teams to translate ML capabilities into user ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

Machine Learning Engineer I

New York, NY

$106K - $146K/yr

... mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism ... CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

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Mobile Machine Learning information

See New York salary details

$13

$27

$130

How much do mobile machine learning jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for mobile machine learning in New York is $27.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.07 per hour, depending on experience, location, and employer.

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

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

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

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
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 Mobile Machine Learning jobs? Cities in New York with the most Mobile Machine Learning job openings:

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ โ€ข On-site

Full-time

Posted 5 days ago


Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.

The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle-from data preparation and model development to deployment and optimization across cloud and mobile environments.

Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You'll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits

For any questions (OR) to apply, please contact us atย careers@apogeeglobalrms.com.