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Internship Edge Ai Machine Learning Jobs in Ridgewood, NJ

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

Goodfire is a research company focused on building safe and powerful AI systems through ... Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

Job Summary : Goodfire is a research company focused on understanding and designing AI systems ... Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model ...

Nutanix

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... Assists in the development of optimized software to enable AI models deployed on hardware (e.g ...

New

SCALIS

AI Product Owner

Newark, NJ · On-site

... machine learning, and generative AI solutions across the organization. This role serves as the ... edge AI solutions. Health Insurance Vision Insurance 401(k) Matching Paid Time Off (PTO) Paid ...

New

GPTZero, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

As the leading AI detection platform, we empower educators, students, journalists, marketers, and ... Experience pushing the cutting-edge in machine learning * Self-starter (pitch, plan, and implement ...

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Internship Edge Ai Machine Learning information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do internship edge ai machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for internship edge ai machine learning in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What is an internship edge AI machine learning?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What types of projects can I expect to work on during an internship in edge AI and machine learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.

What are the key skills and qualifications needed to thrive as an internship edge AI machine learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Internship Edge Ai Machine Learning jobs in Ridgewood, NJ look for?

The top searched job categories for Internship Edge Ai Machine Learning jobs in Ridgewood, NJ are:

Internship Edge Ai Machine Learning jobs near you
Infographic showing various Internship Edge Ai Machine Learning job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Machine Learning Engineer

Goodfire

Manhattan, NY • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as interpretability tools and training infrastructure.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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