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Machine Programmer Jobs in New York (NOW HIRING)

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Comcast

Machine Learning Engineer 2

Manhattan, NY

$126K - $189K/yr

Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property * Testing and evaluating machine learning solutions from internal and ...

Comcast

Machine Learning Engineer 2

New York, NY · On-site

$126K - $189K/yr

Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property * Testing and evaluating machine learning solutions from internal and ...

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All JobsMachine Programmer JobsMachine Programmer Jobs in New York

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

Machine Learning Engineer

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Re-posted 7 days ago

Job description

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading - building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output.
In this role, you will be responsible for the development of our ML research platform: the systems that manage data and compute, track experiments, and enable researchers to go from idea to result as efficiently as possible. You will work closely with quants and engineers alike and will play a central role in shaping how ML is done at the firm as we scale our capabilities. We mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions.
THE ROLE
  • Design and build experiment tracking, job orchestration, and reproducibility infrastructure so researchers can iterate quickly, compare runs reliably, and recover from failures without losing work
  • Create tools for all stages of the simulation lifecycle including historical back-tests and production monitoring. Add new features to our simulators
  • Own visibility into GPU cluster utilization - track allocation, surface bottlenecks, and ensure our compute investment is being used effectively
  • Diagnose and resolve performance issues across training pipelines: data loading throughput, storage I/O, GPU utilization, and inter-node communication in distributed training runs
  • Build and maintain data pipelines that move financial data from storage into training workflows efficiently, with strong guarantees on correctness and versioning
  • Develop feature storage and retrieval patterns that support fast, reproducible access to training data at scale
  • Work directly with researchers to understand friction in their workflows, and build solutions that reduce it - from tooling improvements to infrastructure changes
  • Collaborate with existing infrastructure engineers on capacity planning, cloud/on-prem tradeoffs, and tooling decisions - this is a collaborative environment, not a siloed one
  • Stay current with developments in ML infrastructure tooling and bring relevant ideas and tools into our stack where they create genuine value

THE CANDIDATE
  • 5+ years of experience in ML engineering, research infrastructure, or HPC environments
  • Strong Python engineering skills - you write clean, maintainable, well-tested code that other engineers want to build on. Exposure to C++ in a performance-sensitive context is a plus
  • Experience building or operating distributed training infrastructure, with working knowledge of how collective communication libraries (NCCL, Horovod, or similar) behave at scale
  • Practical experience with experiment tracking systems and strong opinions about what good research infrastructure looks like
  • Comfort working across the Linux systems stack - storage, networking, job scheduling - enough to follow a problem wherever it leads
  • Excellent communication skills and the ability to work closely with researchers and engineers across disciplines
  • Intellectually curious and self-driven - you proactively identify problems worth solving, not just problems you've been asked to solve

DESIRED, BUT NOT REQUIRED
  • Experience with on-prem compute environments and job orchestration tools such as Slurm
  • Familiarity with GPU profiling tools (NSight Systems, PyTorch Profiler) and hands-on experience optimizing GPU memory or compute utilization
  • Experience with columnar data formats and high-performance data processing tools such as Parquet, Arrow, and Polars
  • Familiarity with workflow orchestration tools (Prefect, Dagster, or similar)
  • Prior experience in environments with high-stakes, time-series data at scale. Open to Quantitative Finance, Algorithmic Trading, and Other
  • Experience contributing to or extending open-source ML frameworks or infrastructure tooling

Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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