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Internship Machine Operator Jobs in New York (NOW HIRING)

Senior Software Dev Engineer, GuardDuty

New York, NY · On-site

$134K - $176K/yr

The service processes trillions of events and applies advanced analytics and machine learning to ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Your decisions will directly shape how operators and data collectors experience the robot from ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience ...

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Internship Machine Operator information

Is 20 an hour good for an internship?

For an internship as a machine operator, earning $20 an hour is generally considered above average, as many internships pay minimum wage or slightly higher. The pay can vary based on location, industry, and required skills, but $20 per hour often reflects a competitive rate for entry-level or training positions in manufacturing environments. It is important to consider the internship's responsibilities, hours, and whether it offers additional benefits or training opportunities.

What is a machine operator's job salary?

The salary of a machine operator varies depending on experience, location, and industry, but typically ranges from $30,000 to $50,000 annually. Entry-level positions may start lower, while experienced operators with certifications can earn higher wages, often working in manufacturing or production environments with shift schedules.

What are the key skills and qualifications needed to thrive as an Internship Machine Operator, and why are they important?

To thrive as an Internship Machine Operator, you need basic mechanical aptitude, attention to detail, and a high school diploma or equivalent. Familiarity with manufacturing equipment, safety protocols, and sometimes basic computer systems or CNC machinery is beneficial. Strong teamwork, willingness to learn, and effective communication make candidates stand out in this role. These skills ensure safe operations, efficient production, and contribute to a positive workplace environment.

What can I expect from the training process as an Internship Machine Operator?

As an Internship Machine Operator, you can expect to receive hands-on training under the supervision of experienced operators and supervisors. The training typically covers safe equipment operation, troubleshooting common issues, and understanding production workflows. You may start with shadowing experienced team members before gradually taking on more responsibility, including basic maintenance and quality checks. This environment is supportive and emphasizes learning, making it a great opportunity to build foundational skills and gain exposure to manufacturing processes.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest accounting firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in accounting, auditing, consulting, and finance, often serving as a pathway to full-time employment in the accounting and professional services industries.

What does an Internship Machine Operator do?

An Internship Machine Operator is a trainee who learns to operate, monitor, and maintain machinery used in manufacturing or production environments. Their responsibilities typically include setting up machines, loading materials, observing operations, and reporting any issues to supervisors. Interns also learn about safety protocols and may assist with minor repairs or adjustments. This role provides hands-on experience and helps interns develop technical skills needed for a career in manufacturing.

Can you get a heavy equipment operator job with no experience?

Entering a heavy equipment operator role typically requires some training or certification, such as a commercial driver's license or specialized courses. While some entry-level positions may accept candidates with no experience, most employers prefer applicants who have completed training and have basic knowledge of operating machinery and safety protocols.

What is the difference between Internship Machine Operator vs Machine Operator?

AspectInternship Machine OperatorMachine Operator
CredentialsHigh school diploma or equivalent; some technical trainingHigh school diploma; certifications may be preferred
Work EnvironmentTraining setting, supervised, entry-levelManufacturing or production facilities, more autonomous
Job ResponsibilitiesAssist with machine setup, learn operation proceduresOperate machinery independently, perform maintenance

The main difference is that an Internship Machine Operator is a training position focused on learning and gaining experience, while a Machine Operator is a fully responsible role with independent operation duties. Internships serve as a stepping stone toward becoming a qualified Machine Operator in manufacturing environments.

What are the most commonly searched types of Machine Operator jobs in New York? The most popular types of Machine Operator jobs in New York are:
What cities in New York are hiring for Internship Machine Operator jobs? Cities in New York with the most Internship Machine Operator job openings:
Senior Software Dev Engineer, GuardDuty

Senior Software Dev Engineer, GuardDuty

Amazon

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon GuardDuty is a customer facing threat detection service that was built to protect applications and services running in AWS. The service processes trillions of events and applies advanced analytics and machine learning to detect threats. https://aws.amazon.com/guardduty/
The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture.
Key job responsibilities
- Design, build, and operate large-scale, distributed security detection systems.
- Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems.
- Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support.
- Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration.
- Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load.
- Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues.
About the team
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
PREFERRED QUALIFICATIONS
- Master's degree or above in Math, Statistics, Computer Science, or related Science field, or experience implementing algorithms using both toolkits and self-developed code
- Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving
- Experience with AWS, Azure, or Google Cloud technology
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience designing, building, operating, and managing large-scale distributed systems or web services
- Experience with security and systems that handle sensitive data
- Experience in ML and MLOps in production
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US