Object Detection

Object Detection Engineer Jobs

4 jobs found

28d ago

AI/ML Software Engineer

Envision Technology, LLC Londonderry, NH

Londonderry, NH

28d ago

Full time Artificial Intelligence Automation Data & Ai

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Job Description

Envision Technology, LLC is seeking an AI/ML Software Engineer to develop, adapt, and optimize image recognition capabilities for tactical use, with deployment targeted to embedded and edge hardware. The role emphasizes high-confidence computer vision performance that remains reliable in real-world operating conditions.

Responsibilities

Assess, modify, and optimize existing image recognition algorithms, including object detection, semantic segmentation, and tracking approaches (such as YOLOv8, Mask R-CNN, and DeepSORT) for execution on embedded or edge computing platforms.
Design and implement synthetic labeled training datasets to strengthen robustness across different environmental and operational conditions.
Create synthetic imagery using physics-based modeling approaches, including illumination, material properties, sensor characteristics, and atmospheric effects, to better match actual optical sensor performance.
Measure and validate model performance using quantitative evaluation methods such as precision, recall, confusion matrices, and confidence intervals to support deployment readiness.
Partner with algorithm developers, hardware engineers, and system integrators to align AI performance with mission requirements and hardware constraints.
Monitor emerging AI/ML methods and edge-deployment frameworks to improve efficiency and system capability.

Required Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
Proficiency with modern machine learning frameworks, including PyTorch, TensorFlow, and/or ONNX.
Experience with computer vision libraries and tools such as OpenCV, NVIDIA TensorRT, and/or OpenVINO.
Strong programming skills in Python and/or C++.
Experience deploying models on embedded or edge hardware, including NVIDIA Jetson, Intel NUC, or AMD Ryzen Embedded.
Ability to assess and refine algorithmic performance using quantitative evaluation techniques.

Technologies

PyTorch, TensorFlow, ONNX
OpenCV
NVIDIA TensorRT, OpenVINO
Python, C++
NVIDIA Jetson, Intel NUC, AMD Ryzen Embedded
YOLOv8, Mask R-CNN, DeepSORT

Desired Qualifications

Master’s degree in a relevant discipline or 5+ years of applied AI/ML development experience focused on imaging, optical, or sensor-based systems.
Background in optical physics, radiometry, or computer graphics-based image synthesis.
Experience generating physics-based synthetic imagery using tools such as Blender, Unreal Engine, or custom rendering pipelines.
Understanding of sensor modeling and the integration of physics-based parameters, such as MTF, SNR, contrast, and spectral response.
Familiarity with MLOps tools for versioning, data curation, and training pipeline automation.

Benefits

401(k)
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Paid time off
Parental leave
Tuition reimbursement
Vision insurance

Additional Information

Applicant must be a US Person.
Candidates should have the aptitude and motivation to contribute proactively in a startup culture from day one and grow with the company.
Brief travel within the US to customer locations may be required occasionally to support product testing or design reviews.

Job Details

Job type: Full-time
Work location: In person
Location: Londonderry, NH (onsite)

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30d ago

Machine Learning Engineer

PRADCO Inc. Massachusetts

Massachusetts

30d ago Closed

Full time Artificial Intelligence Automation Data Analysis

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

PRADCO Inc. is building practical decision support from trail camera data, helping turn animal behavior signals into recommendation-ready hunting insights. In this onsite role in Massachusetts, you will help own the prediction machine learning lifecycle from tagged camera images through deer movement predictions and hunt location optimization.

What you’ll do

Design and train object detection and classification models to identify deer presence, sex, age class, and antler characteristics in trail camera imagery (for example YOLOv8, RT-DETR, or similar).
Build and maintain an end-to-end ML pipeline, including data ingestion from cloud storage, preprocessing, training on GPU clusters, evaluation, and deployment using Triton, TorchServe, or comparable tooling.
Develop individual deer re-identification models using coat patterns and antler morphology to track specific animals across cameras and over time.
Engineer features from vision outputs alongside environmental signals (weather, terrain, moon phase, rut calendar) to support downstream behavioral prediction models.
Implement ML Ops practices with Mlflow or Weights & Biases for experiment tracking, model versioning, and staged deployments.
Partner with Data Engineering to optimize data pipelines and work with a Wildlife Biologist advisor to validate model outputs against real-world deer behavior.
Monitor production model performance and maintain retraining pipelines to respond to data drift across seasons.

What you bring

4+ years of machine learning engineering experience with demonstrated production deployments.
Deep proficiency in PyTorch, plus strong preference for experience with Ultralytics/YOLO or similar detection frameworks.
Solid understanding of CNN architectures, transfer learning, and domain adaptation.
Experience deploying models at scale on GPU infrastructure using AWS SageMaker, GCP Vertex AI, or equivalent platforms.
Proficiency in Python and familiarity with pipeline tooling such as Kafka or Airflow.
Strong ML evaluation fundamentals, including confusion matrices, mAP, precision/recall tradeoffs, and the ability to diagnose failure modes.
Familiarity with time-series prediction approaches such as LSTMs, Prophet, or XGBoost for temporal data.

Additional fit

Experience with re-identification (RelD) or few-shot learning tasks.
Prior work involving wildlife imagery, agricultural computer vision, or other low-contrast, occlusion-heavy domains.
Experience with Microsoft Azure.
Interest in the outdoors or hunting is a genuine plus, with domain empathy supporting better products.

Tools you’ll use

PyTorch, Ultralytics/YOLO, YOLOv8, RT-DETR, Triton, TorchServe, Mlflow, Weights & Biases, AWS SageMaker, GCP Vertex AI, Python, Kafka, Airflow, CNN architectures, LSTMs, Prophet, XGBoost

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1mo ago

Machine Learning Engineer - Vision

Hadrian Automation Torrance, CA

Torrance, CA

1mo ago Closed

$160k - $250k/yr Full time Ai Ml Artificial Intelligence Automation

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

Hadrian Automation is hiring a Senior Machine Learning Engineer focused on computer vision for its manufacturing intelligence pipeline.

Responsibilities

Research, develop, and deploy object detection and segmentation models for layout analysis, document understanding, and semantic part understanding
Partner with the core engineering team to build and maintain annotation tooling
Implement active learning loops to improve model performance over time
Engineer synthetic data augmentation strategies to support training and evaluation
Develop evaluation frameworks with metrics that go beyond mAP/IoU, quantifying system behavior and user impact more precisely
Collaborate with machine learning team members to define the technical and product roadmaps for the AI platform
Drive down performance gaps across the long tail, recognizing that incremental accuracy improvements translate to man-year time savings at scale

Requirements

5-8 years of professional experience building and shipping computer vision models, with emphasis on detection and/or segmentation
Deep expertise with modern architectures using transformer backbones (for example, ViT, Swin)
Strong Python and PyTorch fluency, including building custom training loops, loss functions, and data loaders from scratch when needed
Production deployment ownership, including shipping models to production and being responsible for endpoint and model health
MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally

Technology

Python
PyTorch
Transformer backbones (ViT, Swin)
mAP/IoU

Compensation

Target salary range: $160,000 - $250,000 per year (actual range may vary based on experience)

Benefits

Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy
Equity

Location and Work Type

Torrance, CA (onsite)

ITAR Requirements

To conform to U.S. Government space technology export regulations, including International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State

Use of AI in Hiring

Hadrian uses AI-assisted tools in recruiting and hiring to help the team work more efficiently
These tools support the team and are not used to make hiring decisions; all candidate evaluations and hiring decisions are performed by humans
If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy
Candidate data processed through these tools is subject to the same protections described in Hadrian’s Privacy Policy

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2mo ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

2mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Leidos offers a competitive compensation package along with a comprehensive benefits suite for an on-site role in Vista, California. This Senior Machine Learning Engineer position focuses on MLOps-enabled object detection for border security, ensuring the development, deployment, and integration of models across operational systems. The role carries a salary range of USD 107,900 to 195,050 per year and provides opportunities to own impactful projects from inception through production.

Benefits

Competitive compensation
Health and wellness programs
Income protection coverage
Paid leave and time-off benefits
Retirement savings options

Responsibilities

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

Requirements

MS or PhD in Data Science, Engineering, Applied Science or a similar discipline with at least 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 model versioning using a platform like MLflow to ensure transparency and auditability
Experience with data versioning frameworks such as DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production environments using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide technical decision-making
Strong track record of delivery ownership and cross-functional collaboration
Ability to multitask across projects
Excellent communication skills, both written and verbal
Some travel is required (< 25%)
Ability to obtain and maintain Public Trust access

Technologies

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

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