Object Detection

Object Detection Data Jobs

2 jobs found

29d ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

29d ago

$108k - $195k/yr Full time Ai Ml Artificial Intelligence Computer Vision

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Job Description

The Senior Machine Learning Engineer role at Leidos in Vista, CA onsite centers on MLOps enabled object detection for border security, guiding the development, deployment, and integration of models across operational systems.

Compensation

Annual salary range: USD 107,900 to 195,050.

Location

Vista, California, onsite

Responsibilities

Develop, train, and assess machine learning models using contemporary MLOps practices and frameworks
Design and maintain reproducible training pipelines to support scalable and repeatable experimentation
Collaborate with cross-functional teams to integrate models into operational systems and workflows
Enhance model performance and reliability through continuous monitoring, testing, and iteration

Requirements

MS or PhD in Data Science, Engineering, Applied Science, or a closely related field with a minimum of 10 years of industry experience
Ability to support the full ML lifecycle from data preparation and training to deployment and monitoring
Experience tracking experiments, model performance, and versioning using a platform such as MLflow to ensure transparency and auditability
Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide decision-making
Proven delivery ownership and strong cross-functional collaboration
Ability to multitask across multiple projects
Excellent written and verbal communication skills
Travel up to 25 percent may be required
Ability to obtain and maintain Public Trust access

Technologies

MLflow
DVC
MLFlow Dataset
LakeFs
Docker
Kubernetes
Kubeflow
Airflow
ResNet
Yolo
U-Net

Benefits

Competitive compensation
Health and wellness programs
Income protection
Paid leave
Retirement benefits

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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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Object Detection Data Jobs

Senior Machine Learning Engineer

Machine Learning Engineer, Factory Vision Systems

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