Machine Vision

Machine Vision Engineer Jobs

24 jobs found

1d ago

Machine Learning Engineer - Computer Vision & Data Systems

Apple Seattle, WA

Seattle, WA

1d ago

$175k - $309k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

Apple in Seattle is seeking a Machine Learning Engineer who specializes in computer vision and large-scale data systems. This onsite role blends research-driven model development with robust data pipelines to deliver production-grade, real-time sensing and data intelligence across core product experiences. A PhD in a relevant field is required for this position.

Responsibilities

Develop and maintain scalable data processing pipelines that operate efficiently and reliably across diverse data sources and modalities.
Create and refine computer vision models that support key product experiences, spanning image understanding, multi-view geometry, 3D reconstruction, and visual recognition.
Collaborate with engineering, research, and data teams to translate product requirements into practical technical solutions, prototype models, run large-scale experiments, improve data quality, and integrate algorithms into production environments.
Explore emerging areas such as LLM-based agents, retrieval augmented systems, and tool-driven reasoning to enhance internal workflows and data operations.

Requirements

PhD in a relevant field with research directly related to computer vision, large-scale data systems, or multimodal learning.
Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning workflows.
Familiarity with prompt engineering, tool-use patterns, and understanding of LLM model behavior.
Experience deploying ML models at scale, including monitoring, evaluation, and continuous improvement.
Knowledge of data quality assessment, dataset curation methodologies, and evaluation frameworks.
Experience with GPU-based optimization, large-batch training, or distributed training.
Strong cross-functional collaboration skills and the ability to lead technical initiatives.
Solid foundation in computer vision, with experience in deep learning vision models and areas such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning.
Hands-on experience developing ML models using PyTorch or TensorFlow.
Experience building or optimizing large-scale data pipelines including distributed ETL, dataset generation, annotation workflows, data validation, or high-throughput processing.
Proficiency in Python or C++ for algorithm development and data processing.
Experience with distributed computing frameworks such as Spark or Ray.

Technologies

PyTorch
TensorFlow
Python
C++
Spark
Ray

Benefits

Base pay range for this role is $175,000 to $308,500 per year.
Eligibility to participate in discretionary employee stock programs and, optionally, the Employee Stock Purchase Plan with stock discounts.
Comprehensive medical and dental coverage, retirement benefits, and a range of product discounts and free services.
Tuition reimbursement for eligible education expenses related to advancing your career at Apple.
Relocation support may be available; discretionary bonuses or commission payments are possible, subject to eligibility and plan terms.
Note: Benefit, compensation, and stock program terms are subject to eligibility requirements and other plan provisions.

Pay & Benefits

Base pay is determined within a range and reflects skills, qualifications, experience, and location.
The base pay range is $175,000 to $308,500 per year.
Employees may become Apple shareholders through discretionary stock programs and have access to RSU awards; participation in the Employee Stock Purchase Plan is available with potential stock discounts.
Benefits include comprehensive medical and dental coverage, retirement plans, employee discounts, free services, and tuition reimbursement for eligible educational expenses.
Eligibility for discretionary bonuses or relocation assistance may apply, subject to plan terms.
All terms related to benefits, compensation, and stock programs are subject to eligibility requirements and plan provisions.

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1d ago

Machine Learning Engineer

Roper Technologies Inc Sarasota, FL

Sarasota, FL

1d ago

Full time Ai Ml Artificial Intelligence Automation

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Job Description

Roper Technologies Inc is seeking a Machine Learning Engineer to design, build, and deploy production-grade AI systems, including AI agents and enterprise integrations across the software portfolio. This onsite role is based in Sarasota, Florida.

Responsibilities

Design, develop, and deploy production-ready machine learning models and AI systems
Create components such as model inference services
Build data and feature pipelines
Develop complex recommendation and matching services
Implement vision-based analysis systems
Establish evaluation and monitoring pipelines
Optimize models for performance, reliability, and cost efficiency
Contribute to AI agents and multi-step workflow automation
Build integrations with enterprise tools and APIs
Implement tool-use frameworks, memory mechanisms, and evaluation loops
Experiment with LLMs, foundation models, and fine-tuning approaches
Translate AI research advances into practical, scalable solutions
Write clean, maintainable, and well-tested code
Participate in architecture design and technical reviews
Contribute to CI/CD pipelines and MLOps workflows
Implement observability and monitoring for AI systems in production
Follow security, compliance, and responsible AI best practices
Collaborate with product, data engineering, and infrastructure teams
Identify high-impact AI use cases within portfolio companies
Support integration of shared AI components into business applications
Communicate technical tradeoffs to both technical and non-technical stakeholders

Requirements

Three or more years of experience in software engineering, data science, or machine learning; additional experience may apply for senior roles
Experience delivering production-grade software systems
Proficiency in Python; knowledge of additional languages is advantageous
Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Knowledge of modern AI architectures, including LLM-based systems
Experience with cloud environments such as AWS, Azure, or GCP
Strong problem-solving skills and attention to detail

Technologies

Python, PyTorch, TensorFlow, scikit-learn, AWS, Azure, GCP

Leveling & Growth

Intermediate ML Engineer – Contributes independently to projects, builds production features, collaborates cross-functionally
Senior ML Engineer – Owns complex systems end-to-end, drives architectural decisions, mentors others
Principal / Staff ML Engineer – Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure

What We Value

Strong engineering fundamentals
Practical, impact-driven AI development
Curiosity and willingness to experiment responsibly
Ownership mindset and bias toward execution
Ability to balance innovation with reliability

Why Join Roper

Work on high-impact AI systems across a diverse portfolio of leading software businesses
Build reusable infrastructure that scales across industries
Collaborate with experienced engineering and executive leadership
Shape the next generation of intelligent enterprise software

Preferred

Fine tuning, experimentation, and rapid development using AI tools
Agent frameworks and orchestration tools
Distributed systems or microservices architecture
Model monitoring and evaluation frameworks
Experience building reusable libraries or shared infrastructure
Exposure to SaaS products or enterprise software environments
Background in optimizing models for performance and cost

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2d ago

Machine Learning Engineer II

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

2d ago

Full time Python AI Ai Ml

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Job Description

The Machine Learning Engineer II role focuses on designing, developing, and validating machine learning models for power tool solutions, collaborating with cross-functional teams to deploy ML features across Milwaukee products globally, and owning projects that require strong problem-solving, communication, and project-management skills. This onsite position is based in Brookfield, Wisconsin.

Responsibilities

Design, implement, and validate machine learning models tailored to power tool applications.
Collaborate with highly cross-functional teams to deliver solutions that enhance user outcomes.
Explore and evaluate new machine learning approaches for deployment within Milwaukee products worldwide, demonstrating strong problem-solving, critical thinking, and composure in a dynamic environment.
Communicate technical concepts effectively and exercise fundamental project management capabilities.
Exhibit proactive ownership of projects and tasks, with an understanding of their links to broader initiatives.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Completed coursework or specialization in Machine Learning and/or Data Science.
At least one year of hands-on experience applying machine learning principles and algorithms in contexts involving embedded systems, edge computing, signal processing, or related areas.
Proven experience applying fundamental machine learning algorithms in non-coursework settings, including unsupervised or supervised learning, classification/regression, dimensionality reduction, and model optimization.
Experience with machine learning and AI methods such as CNNs, transformers, or computer vision.
Proficiency in Python and debugging, with extensive use of libraries such as NumPy, pandas, scikit-learn, and Matplotlib.
Experience with at least one deep learning framework, such as PyTorch or TensorFlow.
Strong mathematical foundation in statistics, linear algebra, calculus, and optimization.
Experience using modern software development tools and version control systems.
Excellent problem-solving abilities, critical thinking, and capability to work under pressure in a dynamic environment.
Strong technical communication skills and fundamental project management abilities.
Demonstrated ownership of a project or tasks and understanding of their relationships to other initiatives.
Ability to travel up to 10 percent of the time, domestically and internationally.

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
CNNs
transformers
computer vision
PyTorch
TensorFlow
C
C++

Benefits

Health, dental, and vision insurance
401(k) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service

Other Tools We Prefer You To Have

Master’s degree or PhD in Machine Learning or a related field is preferred.
Three or more years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing, or related fields; an advanced degree may count toward part of this experience.
Experience with time series modelling, including domains such as NLP, SLAM, forecasting, or audio/video processing.
A proven track record of developing, deploying, and implementing AI or ML solutions aligned with business objectives.
Proficiency in developing and debugging code in an embedded environment using C or C++.
Working knowledge of sensor technologies (e.g., IMU, thermistors, magnetic and optical sensors) and interfacing to microcontrollers.
Understanding of embedded systems architecture (hardware and software), including microcontroller design and operation.
Experience with diverse data collection methods and their application in relevant environments.
Experience developing and deploying machine learning algorithms to edge environments.
Proven ability to develop robust MLOps pipelines ensuring efficient deployment, monitoring, and scaling of ML models.

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2d ago

Machine Learning Engineer

Apple Sunnyvale, CA

Sunnyvale, CA

2d ago

$150k - $278k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

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Job Description

Apple is seeking a Machine Learning Engineer in Sunnyvale, California, to develop ML models for computer vision and graphics within Face and Body/vision technologies. You will drive the end-to-end ML lifecycle to ship features on iOS and VisionOS, collaborating with ML, data, and software engineers across teams.

Location

Sunnyvale, CA (onsite)

Responsibilities

Design data collection strategies and process data as part of the ML cycle.
Design models and run experiments within the ML lifecycle.
Validate and perform QA in real-world deployments.
Conduct applied research to adapt or implement state-of-the-art methods to ship features on iOS and VisionOS.
Collaborate with other ML engineers, data engineers, and software engineers across teams.

Requirements

3+ years of experience developing ML projects for computer vision or graphics applications.
Proficiency in Python and software engineering fundamentals.
Experience with PyTorch.
BA/BS degree in computer vision, computer graphics, machine learning, or a related field.

Technologies

Python
PyTorch

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for educational expenses, including tuition
Apple discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount via the Employee Stock Purchase Plan
Discretionary bonuses or commission payments
Relocation assistance

Compensation

Base pay range for this role is $150,400 to $277,600 per year. The final offer depends on skills, qualifications, experience, and location.

Preferred Qualifications

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering, or related fields.
Self-motivated with a proven ability to prioritize and deliver tasks on schedule.
Excellent communication and experience working with cross-functional teams.

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3d ago

Vision Engineer

Perrigo Allegan, MI

Allegan, MI

3d ago

Full time AutoCAD Automation Design

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Job Description

The Vision Engineer role supports pharmaceutical manufacturing and packaging operations through vision systems, providing technical and regulatory compliance expertise while driving multi-site vision system and automation projects. The position delivers timely, professional, and safe service to operations in a hybrid work environment.

Overview

The Vision Engineer will deliver technical and regulatory support for vision systems used in pharmaceutical manufacturing and packaging. This role leads and assists in the development, implementation, and completion of vision system and automation initiatives across multiple sites, pursuing innovative solutions to meet business needs while delivering strong customer service to operations to achieve objectives on schedule.

Responsibilities

Assist with selecting and modifying equipment to raise plant productivity or enable manufacturing of new formulations or products.
Collaborate across teams to ensure compliance with FDA current Good Manufacturing Practice during the design, specification, qualification, validation, maintenance, and use of equipment systems.
Manage capital and operating expenditures by aligning with Operations and Engineering on timelines, scope, and budget, while tracking costs to keep projects within budget.
Participate in the change management program to assess how proposed activities affect the validation status of control systems.
Support quality initiatives through corrective and preventive actions and by introducing new technologies to resolve longstanding issues.
Identify opportunities to improve production processes with emphasis on detection capabilities and downtime reduction.
Collaborate with engineering, maintenance, operations, IT, and scheduling to implement changes and investigate issues.
Respond to emergencies and troubleshoot issues affecting daily machine performance and efficiency.
Design and implement new features and technologies to enhance machine operability, efficiency, safety, quality, and data tracking.
Develop strategic plans to upgrade aging or obsolete systems.
Review technical specifications of new equipment to ensure automation hardware and software align with established standards.

Requirements

Bachelor's degree in an engineering discipline.
Minimum of three years of hands-on experience with vision systems and troubleshooting.
Proficiency with AutoCAD and the ability to read drawings, flowcharts, and schematics related to system design documentation.
Familiarity with Lean and Six Sigma principles; experience with continuous improvement methods is preferred.
Electrical troubleshooting skills are preferred.
Flexible schedule with standard work hours from 7:00 am to 4:00 pm.
Experience with computer system validation and change management within an FDA regulated environment.
Knowledge of current Good Manufacturing Practices (cGMP).
Strong problem-solving abilities, sound decision making, and the capacity to meet deadlines in a collaborative environment.
Demonstrated confidence and the ability to interface with multiple departments, consultants, and contractors.
Experience with PLC programming and troubleshooting is preferred.

Technologies

Visions Systems
AutoCAD
PLC programming

Benefits

Competitive compensation
Benefits tailored to supporting you and your family
Career development opportunities

Location

Allegan, Michigan, with a hybrid work arrangement.

Hybrid Working Approach

We promote flexibility with the ability to work two days a week from home in many roles.

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4d ago

Mechatronics Controls Engineer

Columbia Machine Inc Vancouver, WA

Vancouver, WA

4d ago

$123k - $152k/yr Full time Electrical Engineering .NET Allen-Bradley

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Job Description

Columbia Machine Inc in Vancouver, WA is seeking a Mechatronics Controls Engineer to lead the design, development, programming, integration, testing, and commissioning of automated machinery. This role blends electrical controls, robotics, software, SCADA, and mechanical disciplines throughout the product lifecycle, with hands-on collaboration across engineering teams and direct engagement with customers to optimize performance.

Responsibilities

Develop, program, test, and troubleshoot PLCs, HMIs, motion control, SCADA, and robotic systems.
Configure and commission controls systems, servo drives, VFDs, industrial networks, sensors, and vision systems.
Design machine control logic, safety circuits, and operational sequences.
Develop and maintain automation standards, reusable software modules, and engineering documentation.
Support remote diagnostics, troubleshooting, and performance improvements.
Mentor newer engineers and contribute to team knowledge sharing.
Design electro‑mechanical subsystems including actuators, conveyors, robotics, pneumatics, hydraulics, sensors, and machine interfaces.
Collaborate with mechanical and electrical engineers, and service teams to ensure seamless integration of machine systems.
Participate in machine risk assessments and safety reviews.
Evaluate new technologies and recommend improvements to performance, reliability, and manufacturability.
Perform system validation and functional testing during assembly and startup.
Assist in prototype development and R&D activities for new products and enhancements.
Support troubleshooting of mechanical, electrical, software, and systems integration issues.
Analyze machine performance data and implement corrective actions as needed.
Support projects from concept through design, manufacturing, installation, and customer acceptance.
Generate Bills of Material (BOMs), I/O lists, functional specifications, operators’ manuals, and engineering documentation.
Coordinate with cross-functional teams to meet project schedules and customer requirements.
Provide technical support to Sales, Manufacturing, Service, and Customer Care teams.
Travel to customer sites for startup, commissioning, troubleshooting, optimization, and training activities.
Work directly with customers to diagnose and resolve equipment performance issues.
Support machine upgrades, retrofits, and continuous improvement initiatives.

Requirements

Bachelor’s Degree in Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, Controls Engineering, Robotics Engineering, or a related discipline.
Minimum of 5 years of experience in industrial automation, controls engineering, robotics, or machine design.

Technologies

Rockwell, Mitsubishi
FactoryTalk ME, FactoryTalk View SE
Indramat, Yaskawa
EtherNet/IP, Profinet, Modbus TCP/IP
Structured Text, Python, C#
PLC Programming, HMI Development, SCADA Development
Motion Control and Servo Systems, Industrial Robotics
Sensors and Instrumentation, Pneumatic and Hydraulic Systems
Industrial Electrical Design, Machine Safety Standards
Electrical and Mechanical Schematics, Control Panel Design
Machine Vision Systems

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Life insurance
Paid time off
Professional development assistance
Referral program
Tuition reimbursement
Vision insurance

Field Support

Travel to customer sites for startup, commissioning, troubleshooting, optimization, and training activities.
Work directly with customers to diagnose and resolve equipment performance issues.
Support machine upgrades, retrofits, and continuous improvement initiatives.

Travel

Up to 30% travel based on project requirements.
Efforts are made for advance notice, however urgent situations may require short notice travel.
Travel up to 3 weeks in duration prior to returning home.

Schedule

8 hour shift
Day shift
Monday to Friday

Willingness to Travel

25% (Required)

Knowledge

PLC Programming (Rockwell and Mitsubishi)
HMI Development (FactoryTalk ME and Mitsubishi)
SCADA Development (FactoryTalk View SE)
Motion Control and Servo Systems (Rockwell and Indramat)
Industrial Robotics (Yaskawa)
EtherNet/IP, Profinet, Modbus TCP/IP
Basic programming/scripting (Structured Text, Python, C#, or equivalent)
Sensors and Instrumentation, Pneumatic Systems, Hydraulic Systems
Industrial Electrical Design, Machine Safety Standards
Electrical and Mechanical Schematics, Control Panel Design
Machine Vision Systems

Success Measures

Delivers projects on schedule and within budget
Produces reliable, maintainable control systems
Supports successful equipment startup and customer acceptance
Reduces machine downtime through effective design and troubleshooting
Contributes to continuous product improvement and innovation

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4d ago

Machine Learning Engineer

Apple Seattle, WA

Seattle, WA

4d ago

$175k - $309k/yr Full time Ai Ml Artificial Intelligence Deep Learning

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Job Description

Apple is seeking an experienced Machine Learning Engineer to design and deploy models for computer vision and graphics across visionOS and iOS. The role collaborates with ML, data, and software teams to deliver scalable features that reach millions of users. This onsite position is based in Seattle, WA.

Responsibilities

Manage the complete ML lifecycle, from data collection design and processing to model development, experiments, and field validation.
Adapt or implement cutting edge methods to ship features on visionOS and iOS platforms.
Collaborate closely with fellow ML engineers as well as data and software engineers across internal and cross-functional teams.
Identify and develop solutions to previously unsolved challenges in human representation and motion affecting a large user base.

Requirements

Solid software engineering background with proficiency in Python
Hands-on experience with PyTorch
Ability to solve problems independently
BS degree and 10+ years of professional experience

Technologies

Python
PyTorch
visionOS
iOS

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discretionary employee stock unit awards
Employee Stock Purchase Plan with stock discount
Discounts on Apple products and free services
Reimbursement for educational expenses (tuition)
Potential discretionary bonuses or commission payments
Relocation assistance

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team seeks a skilled Machine Learning Engineer with experience building ML models for computer vision and graphics applications. The role covers the full ML cycle from data collection design and processing to model development, experiments, and field validation. The team pursues applied research to adapt state-of-the-art methods or implement new approaches to ship features on visionOS and iOS.

Preferred Qualifications

Passion for delivering high quality features to a broad and diverse user base
Excellent communication and experience working with multi-functional teams
Self-motivated with a proven track record of prioritizing and delivering tasks on schedule
MS degree in computer vision, computer graphics, machine learning or related field
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields

Minimum Qualifications

Software engineering background with Python proficiency
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience

Pay & Benefits

Base pay range for this role is between $175,000 and $308,500 per year. The final amount depends on skills, qualifications, experience, and location.

Apple offers discretionary stock programs, including restricted stock unit awards
Employee Stock Purchase Plan with a stock discount
Benefits including comprehensive medical and dental coverage, retirement benefits, and access to discounted products and free services
Reimbursement for certain educational expenses, including tuition
Potential discretionary bonuses or commission payments and relocation assistance