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Machine Vision Software Engineer Jobs in New York

You'll be hands-on with data, APIs, UI components, and machine learning integrations, collaborating ... and long-term architectural vision. * Stay up to date with industry trends in advertising ...

Senior Software Engineer

New York, NY · On-site

$200K - $260K/yr

Job Summary As a Senior Software Engineer on the Pilots team within the Perception organization ... Adapt, refine, and integrate Machine Learning (ML) and Computer Vision (CV) models, including ...

Company Description Jobiak's mission is to fuse machine learning technology with practical ... Make design decisions to improve software development workflows * Create integration points between ...

About the role As a Fullstack Software Engineer, you will own meaningful parts of the product from ... Experience building AI, LLM, agent, or machine-learning products * Experience with AWS, GCP, Docker ...

Apply Early

Software Engineer

New York, NY · On-site +1

$220K - $230K/yr

Software Engineer New York Responsibilities: Build production trading systems and create automated ... and machine learning algorithms Must live within normal commuting distance of worksite. Remote ...

Staff Software Engineer

New York, NY · On-site

$230K - $299K/yr

What the job involves As a Staff Software Engineer on the Perception team, you will be a key ... Deep expertise in one or more of: robotics, state estimation, computer vision, or applied machine ...

We are looking for a Software Engineer to join the ML Training Data team. You will build and scale the infrastructure to help machine learning teams generate training datasets. Your work will support ...

We are looking for a Software Engineer to join the ML Training Data team. You will build and scale the infrastructure to help machine learning teams generate training datasets. Your work will support ...

Senior Software Engineer

New York, NY

$134K - $176K/yr

... Machine Translation, Deep Neural Networks and related fields * Proven expertise in full-stack ... Knowledge of professional software engineering practices & best practices for the full software ...

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Machine Vision Software Engineer information

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a Machine Vision Software Engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
What are popular job titles related to Machine Vision Software Engineer jobs in New York? For Machine Vision Software Engineer jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Machine Vision Software Engineer jobs? Cities in New York with the most Machine Vision Software Engineer job openings:
Infographic showing various Machine Vision Software Engineer job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Software Engineer

Moxxi Digital

New York, NY

Full-time

Posted 10 days ago


Job description

Who We Are

At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success.

Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing.

The Role:

As a Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you'll operate across the stack to bring ideas to life. You'll be hands-on with data, APIs, UI components, and machine learning integrations, collaborating closely with cross-functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you.

Responsibilities
  • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines.
  • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease.
  • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems.
  • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization.
  • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale.
  • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions.
  • Ensure system observability, operational excellence, and uptime across critical infrastructure components.
  • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code.
  • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision.
  • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team.
  • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 3+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development.
  • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures.
  • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js).
  • Experience designing and integrating RESTful APIs and working with distributed systems.
  • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run.
  • Understanding of software engineering fundamentals including system design, data structures, and algorithms.
  • Strong attention to detail, debugging, and performance optimization skills across the stack.
  • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design.
  • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices.
Nice to Have / Bonus Qualifications
  • Master's degree in Computer Science, Engineering, or a related technical field.
  • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS)
  • Familiarity with Ads infrastructure standards
  • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis.
  • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes.
  • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached.
  • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale.
  • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems.
  • Awareness of ads regulatory trends, user privacy regulations, and legal compliance within digital marketing ecosystems (e.g., GDPR, CCPA, TCPA).

Moxxi Values & Competencies

  • Self-Starter – You take initiative and solve problems before they become problems.
  • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works.
  • Efficiency-Oriented – Fast, focused, and action-driven.
  • Relationship-Focused – You build trust and deliver value.
  • Organized Multitasker – You thrive in fast-paced, high-velocity environments.
  • Strategic Communicator – You translate performance into insight and insight into action.


Salary Range: $150,000 - $180,000 + equity

Salary Range
$175,000—$225,000 USD