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Internship Deep Learning Jobs in New York (NOW HIRING)

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

... deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You'll gain a ...

... deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You'll gain a ...

... in statistics, machine learning, deep learning, and foundational models to improve the ... Preferred : • Internship or project experience in AI engineering, machine learning, or a related ...

You'll spend the bulk of your internship working closely with full-time machine learning ... Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging ...

Intern, Clinical

New York, NY · On-site

$16.50 - $22/hr

... learning to assess, diagnose, and treat mental health conditions under supervision. In addition to developing core clinical competencies, the internship is designed to foster a deep sense of ...

Intern, Clinical

New York, NY · On-site

$16.50 - $22/hr

... learning to assess, diagnose, and treat mental health conditions under supervision. In addition to developing core clinical competencies, the internship is designed to foster a deep sense of ...

Intern, Clinical

New York, NY

$16.50 - $22/hr

... learning to assess, diagnose, and treat mental health conditions under supervision. In addition to developing core clinical competencies, the internship is designed to foster a deep sense of ...

Showing results 21-40

Internship Deep Learning information

What is an internship in deep learning?

An internship in deep learning is a temporary position, typically offered to students or recent graduates, where individuals gain practical experience working on projects involving neural networks, machine learning algorithms, and AI applications. Interns often assist with data preparation, model training, evaluation, and sometimes contribute to research or development of deep learning solutions. This role helps interns develop technical skills, gain exposure to real-world problems, and build a foundation for a career in artificial intelligence or related fields.

What is the difference between Internship Deep Learning vs Data Science Intern?

AspectInternship Deep LearningData Science Intern
Required SkillsMachine learning, neural networks, programming (Python, TensorFlow)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch-focused, AI/ML teams, tech companiesBusiness analytics, data analysis teams, various industries
Common Employer UsageTech firms, AI startups, research labsConsulting firms, tech companies, finance, healthcare

Internship Deep Learning roles focus on developing neural networks and AI models, often in research or tech environments. Data Science Internships involve analyzing data, creating insights, and supporting decision-making across diverse industries. Both internships require programming skills, but Deep Learning emphasizes AI-specific knowledge, while Data Science covers broader data analysis skills.

What types of projects or tasks can I expect to work on during a deep learning internship?

As a Deep Learning intern, you can typically expect to work on a variety of hands-on projects such as data preprocessing, model development, and performance evaluation. You may contribute to building and testing neural networks, experimenting with architectures like CNNs or RNNs, and assisting in preparing datasets for training. Collaboration with data scientists, engineers, and other interns is common, providing opportunities to learn best practices in model deployment and documentation. This role offers a valuable chance to gain practical experience in applying theoretical knowledge to real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning internship, and why are they important?

To thrive in a Deep Learning Internship, you need a strong foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving skills, curiosity, and effective communication help interns stand out when working on complex projects and collaborating with teams. These skills and qualities are crucial for efficiently developing, testing, and explaining deep learning models in a fast-evolving field.
What are the most commonly searched types of Deep Learning jobs in New York? The most popular types of Deep Learning jobs in New York are:
Infographic showing various Internship Deep 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.

Associate AI Developer

iSoftStone

White Plains, NY • On-site

$20/hr

Contractor

Re-posted 28 days ago


Job description

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team

In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)

**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.**

Summary:

iSoftStone, Inc. is seeking an Associate AI Developer to help build and ship production-grade AI services. This training-based, early-career role is ideal for recent graduates eager to grow into hands-on AI engineers, working alongside senior developers on real client projects spanning agentic applications, orchestration, observability, and computer vision-across a cloud-agnostic stack.

Responsibilities:

  • Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
  • Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
  • Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
  • Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
  • Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling-and with open-source models-favoring portable, well-tested code.
  • Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.

Qualifications:

  • Education: Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
  • Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
  • AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
  • Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
  • Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.

Preferred Skills

  • Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone,Weaviate, FAISS).
  • Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
  • Prior internship, capstone, or project work involving AI, data, or cloud services
  • Education
    BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Primary Location Pay Range: $20 per hour

iSoftStone is a global IT service and consulting companythat creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world's most well-known businesses, including 90+ Fortune Global 500 companies.

Visit us at https://www.isoftstoneinc.com.

iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.


Employment Type: Contract