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Internship Computer Programming Training Jobs in New York

Norbert Health

Computer Vision/ML Engineer

Manhattan, NY

$122.90K - $145K/yr

Build and maintain MLOps pipelines for model training, validation, and performance monitoring ... Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

Build and maintain MLOps pipelines for model training, validation, and performance monitoring ... Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

Build and maintain MLOps pipelines for model training, validation, and performance monitoring ... Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

Build and maintain MLOps pipelines for model training, validation, and performance monitoring ... Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

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Internship Computer Programming Training information

What are the key skills and qualifications needed to thrive as an Internship Computer Programming Trainee, and why are they important?

To thrive as an Internship Computer Programming Trainee, you need a foundational understanding of programming languages such as Python, Java, or C++, often supported by coursework or relevant training. Familiarity with version control systems like Git, basic debugging tools, and integrated development environments (IDEs) is typically expected. Strong problem-solving skills, a willingness to learn, and effective communication help you adapt and collaborate in a team setting. These skills and qualities are crucial for quickly acquiring practical coding experience and contributing meaningfully to real-world projects.

What types of projects or tasks can I expect to work on during a Computer Programming Internship Training program?

During a Computer Programming Internship Training, you can expect to work on a variety of hands-on projects such as developing small applications, debugging existing code, collaborating on team coding assignments, and participating in code reviews. You may also be involved in learning new programming languages, working with version control systems like Git, and supporting ongoing software development initiatives. These experiences are designed to help you build practical skills, understand real-world workflows, and prepare for more advanced roles in software development.

What is an internship in computer programming training?

An internship in computer programming training is a temporary position designed for students or recent graduates to gain practical experience in coding and software development. During the internship, participants work on real-world projects, learn new programming languages, and collaborate with experienced developers. This hands-on training helps interns develop technical skills, understand industry practices, and build a professional network, often serving as a stepping stone to full-time employment in the tech industry.

What is the difference between Internship Computer Programming Training vs Junior Software Developer?

AspectInternship Computer Programming TrainingJunior Software Developer
CredentialsOften no formal degree required; focus on foundational skillsBachelor's degree in Computer Science or related field typically required
Work EnvironmentTraining programs, educational settings, or entry-level projectsFull-time employment in software development teams
Employer & Industry UsageInternship programs offered by tech companies, educational institutionsCompanies hiring entry-level developers for ongoing projects
Search & Comparison IntentLearning, skill development, entry into tech industryStarting a career, gaining professional experience

Internship Computer Programming Training provides foundational skills and hands-on experience in a learning environment, often without requiring formal credentials. In contrast, a Junior Software Developer is a full-time employee responsible for contributing to ongoing projects, usually with a relevant degree. Both roles serve as entry points into the tech industry but differ in scope, responsibilities, and employment status.

What are the most commonly searched types of Computer Programming Training jobs in New York? The most popular types of Computer Programming Training jobs in New York are:
What cities in New York are hiring for Internship Computer Programming Training jobs? Cities in New York with the most Internship Computer Programming Training job openings:
Internship Computer Programming Training jobs near you
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

Manhattan, NY

$122.90K - $145K/yr

Other

Posted 23 days ago

Job description

The company
Norbert is building autonomous robots that deliver healthcare.
Our AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.
We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.
We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.
The position
We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.
What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware
Nice to haves:
  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary and equity
  • Transparent, mission-driven culture focused on continuous learning

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