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Application Engineer Machine Tools Jobs in New York

Meta

Software Engineer, Machine Learning

New York, NY · On-site

$183K/yr

... build innovative application experiences * Implement custom user interfaces using latest ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Aplaro Ltd

Associate, Application Engineer

Manhattan, NY · On-site

$120 - $190/hr

We build and deliver tools that manage trillions in assets and support millions of financial ... Being a member of Aladdin Engineering, you will be: * Tenacious: Comfortable working in a fast ...

Miller Proctor Nickolas, Inc.

Be Seen First

Application Engineer

Sleepy Hollow, NY · On-site

$105K - $125K/yr

Design & Engineering Development * Prepare detailed design layouts, calculations, and ... Familiarity with energy modeling software and calculation tools is preferred. * Strong ...

Trane Technologies plc

Sales Application Engineer

New York, NY · On-site

$113K - $140K/yr

Sales Application Engineer At Trane Technologies, we create innovative climate solutions for ... Use tools such as Microsoft Office, AutoCAD, Trane selection and pricing programs, specialty vendor ...

trane technologies

Sales Application Engineer

Plainview, NY · On-site

$105K - $130K/yr

Sales Application Engineer At Trane Technologies, we create innovative climate solutions for ... Use tools such as Microsoft Office, AutoCAD, Trane selection and pricing programs, specialty vendor ...

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Application Engineer Machine Tools information

What is an application engineer machine tools?

An Application Engineer for Machine Tools is a professional who specializes in the integration, programming, and optimization of machine tools such as CNC machines in manufacturing environments. They work closely with customers to understand their production needs, recommend suitable machinery, and provide technical support for installation, operation, and troubleshooting. Their role often involves demonstrating equipment capabilities, training operators, and developing custom solutions to enhance productivity and efficiency. Application Engineers act as a bridge between the manufacturer and the end user, ensuring that machine tools are used to their full potential.

What are the key skills and qualifications needed to thrive as an application engineer machine tools?

To excel as an Application Engineer in Machine Tools, you need a solid background in mechanical or manufacturing engineering, strong problem-solving abilities, and experience with CNC programming and machining processes. Familiarity with CAD/CAM software, PLC programming, and knowledge of automation systems are typically required, along with relevant certifications such as Siemens or FANUC training. Strong communication, customer service orientation, and teamwork skills help you effectively collaborate with clients and internal teams. These skills ensure you can optimize machine tool performance, deliver tailored solutions, and support customers in complex manufacturing environments.

What are the common challenges faced by application engineers in the machine tool industry, and how can they be addressed?

Application Engineers in the machine tool industry often encounter challenges such as customizing solutions for diverse client needs, staying updated with rapidly evolving technologies, and troubleshooting complex machining processes. To address these, it’s important to maintain strong communication with both customers and internal teams, invest in continual technical training, and develop robust problem-solving skills. Collaboration with sales, design, and service departments also plays a key role in delivering tailored, effective solutions and ensuring customer satisfaction.

What is the difference between Application Engineer Machine Tools vs Service Engineer Machine Tools?

AspectApplication Engineer Machine ToolsService Engineer Machine Tools
CredentialsBachelor's in Mechanical/Electrical Engineering, certifications in CNC or machiningTechnical diploma or associate degree, certifications in machine maintenance
Work EnvironmentCustomer sites, sales offices, manufacturing plantsFactory floors, customer sites, repair workshops
Primary FocusPre-sales support, product demonstrations, technical consultingMachine installation, troubleshooting, repairs
Industry UsageManufacturers, machine tool suppliers, sales companiesManufacturers, service providers, maintenance companies

Application Engineer Machine Tools primarily focus on pre-sales activities, technical consulting, and supporting customers in selecting the right machinery. Service Engineers Machine Tools concentrate on maintaining, repairing, and troubleshooting machines after installation. Both roles require technical skills and industry knowledge but differ in their core responsibilities and work environments.

What are popular job titles related to Application Engineer Machine Tools jobs in New York?

For Application Engineer Machine Tools jobs in New York, the most frequently searched job titles are:

What job categories do people searching Application Engineer Machine Tools jobs in New York look for?

The top searched job categories for Application Engineer Machine Tools jobs in New York are:

What cities in New York are hiring for Application Engineer Machine Tools jobs?

Cities in New York with the most Application Engineer Machine Tools job openings:

Application Engineer Machine Tools jobs near you

Software Engineer, Machine Learning RecSys

Meta

New York, NY • On-site, Remote

$183K/yr

Full-time

Re-posted 5 days ago

Key responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences

  • Implement custom user interfaces and develop reusable software components

  • Analyze, optimize, and troubleshoot code for quality, efficiency, and performance

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with scripting languages such as Pytorch and TensorFlow
  • Exposure to architectural patterns of large scale software applications
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Master's degree or PhD in Computer Science or another ML-related field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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