Vision Systems

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3 jobs found

1mo ago

Field Machine Learning Engineer (Computer Vision)

EJ Technology Consultants Remote 🌍 Remote

Remote

1mo ago Closed

$90k - $125k/yr Full time Ai Ml Artificial Intelligence Camera Systems

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Field Machine Learning Engineer specializing in computer vision, this remote role centers on deploying Vista vision-based surveillance systems at client sites, training computer vision models, and owning deployments with up to 50 percent travel. The position requires direct collaboration with casino IT and surveillance teams to ensure successful installations.

Responsibilities

Prepare new deployment sites by training site-specific vision models, configuring customer platforms, and coordinating with casino IT and surveillance staff to enable smooth installations.
Travel to on-site locations to install Vista, set up servers, configure Vista across gaming tables, and verify stable operation and accurate detection before handoff.
Support existing sites by monitoring fleet health, deploying remote updates, collaborating with casino staff to resolve issues, and retraining models as needed.
Improve current Python tools and develop additional utilities to automate and streamline model training workflows.
Increase automation across the end-to-end installation workflow to speed deployments and improve repeatability.
Document the installation process and create step-by-step guides for internal use and customer-facing handoffs.
Iterate on the model training process by experimenting with parameters, dataset composition, and deployment strategies to boost detection accuracy.
Explore alternative model architectures and sizes to increase inference throughput while maintaining high accuracy.
Benchmark models on Vista hardware to characterize performance and identify optimization opportunities.
Contribute to new Vista features by expanding the existing Python codebase.

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field
Minimum of 3 years of professional Python coding experience
Hands-on machine learning experience in computer vision, including training, evaluating, and deploying detection/CV models such as YOLO-family architectures
Experience with embedded or on-premises Linux platforms; proficient in terminal use, diagnostics, and scripting
Strong interpersonal, communication, and documentation skills; able to work with non-technical customer staff as well as technical IT and surveillance teams
Ability to remain composed and responsive under pressure during mid-installation activities
Willingness and ability to travel up to 50%
Citizenship in the United States or Canada is required

Technologies

Python
OpenCV
NVIDIA Jetson
Hailo
DeepX
RabbitMQ
YOLO-family architectures
Linux

Benefits

401(k)
Dental insurance
Flexible schedule
Health insurance
Paid time off
Referral program
Vision insurance

Why This Role

End-to-end ownership: see models and code deployed in real-time on casino floors and assume direct ownership of outcomes.
Small team, large impact: your work on automation, model improvements, and new Vista features will be used across future deployments, accelerating Vista adoption and influencing design decisions.
Real-world experience: contribute to a system that will be deployed in thousands of locations, gaining practical expertise in computer vision AI.
Travel opportunities: work trips to casino resorts with per diem and access to amenities.

Pay

Salary: USD 90,000 - 125,000 per year

Work Location

Remote

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2mo ago

Senior Machine Learning Engineer, Multimodal AI, Computer Vision and Graphics - PhD Early Career

roblox San Mateo, CA

San Mateo, CA

2mo ago Closed

$196k - $242k/yr Full time Senior 3d Modeling Artificial Intelligence

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Roblox is seeking a Senior Machine Learning Engineer (PhD Early Career) to advance multimodal AI, computer vision, and graphics. The role focuses on building production-ready models along with safety and identity systems that scale across the platform.

Responsibilities

Develop and deploy foundation models for visual and 3D content creation, search, and recommendations, aiming for high fidelity, relevance, and ranking.
Decompose complex product requirements into iterative milestones to transition applied research into scalable production pipelines.
Create innovative visual and multimodal models that power core Roblox features such as world building, avatar systems, search, and recommendations.
Build an end-to-end facial age estimation system across diverse demographics, integrating fraud-detection techniques to strengthen user identity safety.

Requirements

PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas.
Expertise in computer vision, multimodal learning, 3D graphics, or large-scale representation learning.
Experience developing and training deep learning models using modern frameworks such as PyTorch, TensorFlow, or JAX.
Strong research track record with multiple publications and presentations in top-tier peer-reviewed venues.
Proficiency in programming languages including Python, C++, Go, or Java, and experience building and optimizing large-scale systems.

Technologies

PyTorch
TensorFlow
JAX
Python
C++
Go
Java

Benefits

Equity compensation

Teams Hiring For This Role

Content Understanding: Develop large-scale computer vision and multimodal models that classify, organize, and recommend 3D and visual content to improve user discovery, personalization, and safety.
Account Identity: Addresses various aspects of user identity, including bot detection, alternate account detection graphs, and age estimation based on behavioral and facial features.
Safety AI Systems: Build AI that automatically inspects and filters Roblox user-generated content across images, videos, audio, 3D meshes, and games, including computer vision for unsafe images, audio analysis to screen sound and music, and techniques for 3D content and code moderation.

Annual salary range

USD 195,780 - 242,100 per year

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2mo ago

Machine Learning Engineer, Factory Vision Systems

Tesla Fremont, CA

Fremont, CA

2mo ago Closed

$140k - $210k/yr Full time Anomaly Detection Artificial Intelligence Deep Learning

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Tesla is seeking a Machine Learning Engineer focused on factory vision systems, onsite in Fremont, CA.

Responsibilities

Create and deploy computer vision and ML models for factory and warehouse use, covering defect detection, visual inspection, process monitoring, and quality assurance with object detection, segmentation, and anomaly detection techniques
Develop end-to-end ML pipelines from data collection and labeling to training, evaluation, and deployment across varied manufacturing environments
Handle diverse, multi-modal data, including images, multi-spectral sensor outputs, video, text, and tabular data, to deliver scalable factory solutions
Own production models with robust monitoring, drift detection, and alerting to enable rapid issue resolution
Collaborate with production, process engineering, controls, and quality teams to turn ambiguous problems into complete ML solutions
Validate and benchmark models to ensure accuracy and reliability under real-world factory conditions
Adhere to agile practices and produce clean, modular, production-ready code with sustainable maintainability

Requirements

Strong Python expertise for high-performance, data-intensive applications
Experience with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX
Deep knowledge of computer vision, including CNNs, object detection, segmentation, and image classification
Experience preprocessing and cleaning large-scale, multi-modal datasets (images, multi-spectral sensor data, video, tabular data)
Foundational statistics for model comparison, experimental design, feasibility considerations, and performance assessment
Hands-on experience deploying and maintaining production ML systems, including monitoring and alerting
Excellent communication skills for conveying technical results to non-technical stakeholders

Technologies

Python
PyTorch
TensorFlow
JAX

Benefits

Medical plans with multiple options and zero payroll deduction
Family-building, fertility, adoption, and surrogacy benefits
Dental and vision plans including orthodontic coverage with zero payroll contribution
Company paid Health Savings Account contributions when enrolled in a high-deductible plan
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plan, and other financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability coverage
Employee Assistance Program
Sick and vacation time, flexible time for salaried roles, accrued hours for hourly roles, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

Join a factory software machine learning and computer vision team to design, develop, and deploy production-grade models that power visual inspection, defect detection, and process monitoring across factory and warehouse environments. You will translate operational challenges into end-to-end ML solutions using advanced computer vision, deep learning, and multi-modal data.

Expected Compensation

Salary range is USD 140,000 to 210,000 per year, plus additional cash and stock awards and benefits. Final compensation may vary based on location, job-related knowledge, skills, and experience, and may include other elements associated with the offered role. Details of benefit participation will be provided with an offer.

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Vision Systems Data Jobs

Field Machine Learning Engineer (Computer Vision)

Senior Machine Learning Engineer, Multimodal AI, Computer Vision and Graphics - PhD Early Career

Machine Learning Engineer, Factory Vision Systems

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