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Machine Programmer Jobs in New York (NOW HIRING)

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

GSE Dynamics Inc.

CNC Programmer

Hauppauge, NY

$80K - $120K/yr

Determine the best machining strategies, tooling, feeds, speeds, and part-holding techniques to ... Collaborate with machinists, engineers, and quality teams to ensure parts meet AS9100 and ISO ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Jane Street

Machine Learning Engineer

New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

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Machine Programmer information

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$15

$28

$53

How much do machine programmer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for machine programmer in New York is $28.83, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $30.53 per hour, depending on experience, location, and employer.

What is a Machine Programmer job?

A Machine Programmer is responsible for writing, testing, and optimizing code that controls automated machinery and manufacturing equipment. They develop CNC (Computer Numerical Control) programs, troubleshoot issues, and ensure machines operate efficiently. This role requires knowledge of programming languages like G-code, CAD/CAM software, and an understanding of machining processes. Machine Programmers play a key role in improving production accuracy and efficiency.

What are the typical daily responsibilities of a Machine Programmer?

Machine Programmers are primarily responsible for writing and modifying programs that control automated machinery, such as CNC machines, to produce precision parts. Each day often involves reviewing blueprints or CAD designs, entering and testing code, and performing trial runs to ensure accurate and efficient machine output. You may also troubleshoot errors, collaborate with machine operators and engineers to resolve issues, and update existing programs for new production runs. While the role is typically based in a manufacturing facility, it often requires close teamwork and communication with multiple departments to ensure seamless operations.

Will AI replace CNC programmers?

AI technology can automate certain tasks in CNC programming, such as toolpath generation and optimization, but it is unlikely to fully replace CNC programmers who require expertise in interpreting complex designs, troubleshooting, and making real-time adjustments. Human oversight remains essential for ensuring quality, safety, and adapting to unique manufacturing needs. CNC programmers will continue to evolve alongside AI tools, focusing more on supervision and advanced problem-solving skills.

What is a CNC programmer's salary?

A CNC programmer's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and proficiency in CAD/CAM software may earn higher wages, especially in manufacturing environments with complex machinery.

Can a CNC machinist make 100k a year?

A CNC machinist can potentially earn $100,000 annually, especially with advanced skills, experience, certifications, and working in high-demand industries or locations. However, typical salaries vary based on factors like geographic region, employer, and specialization, with many earning between $50,000 and $80,000 per year.

What are the key skills and qualifications needed to thrive in the Machine Programmer position, and why are they important?

To thrive as a Machine Programmer, you need strong programming abilities, proficiency in interpreting technical blueprints, and a background in mechanical or manufacturing engineering, often supported by an associate degree or technical certification. Familiarity with Computer Numerical Control (CNC) machines, CAD/CAM software, and industry certifications such as NIMS is typically required. Detail orientation, analytical thinking, and effective problem-solving skills make individuals stand out in this role. These skills ensure precise programming, minimal production delays, and optimal equipment performance in a manufacturing environment.

What does a machine programmer do?

A machine programmer writes, tests, and maintains code to control manufacturing equipment such as CNC machines and automated systems. They use programming languages like G-code or ladder logic and often work with CAD/CAM software to develop precise instructions for machinery operation. Strong technical skills and understanding of manufacturing processes are essential for this role.
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What job categories do people searching Machine Programmer jobs in New York look for? The top searched job categories for Machine Programmer jobs in New York are:
What are popular job titles related to Machine Programmer jobs in NY? For Machine Programmer jobs in NY, the most frequently searched job titles are:
Machine Programmer jobs near you

Machine Learning Engineer

Spotify

New York, NY • On-site, Remote

$170K - $212K/yr

Other

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it's a DIY artist or an industry-facing partner.

As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You'll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You'll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

What You'll Do
 
  • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify's promotional performance with hands-on ML development
  • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
Who You Are
 
  • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  • You have experience in optimizing machine learning models for production use cases
  • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  • You have some exposure to causal ML models, including things like counterfactuals.
  • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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