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Applied Machine Learning Engineer & Computer Vision

Motion Recruitment Partners, LLC

Arlington, Virginia • Today

Easy Apply

Full-time

$180000 - $250000

Applied Machine Learning Engineer

Quartermaster AI Inc

Arlington, Virginia • Today

Full-time

USD 200,000.00 - 235,000.00 per year

Staff Applied ML Engineer, Federal/National Security

Red Cell Partners

Remote or Washington • Today

Full-time

USD 180,000.00 - 240,000.00 per year

Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 120,000.00 - 193,725.00 per year

Applied ML Scientist/Engineer

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Machine Learning Engineer

ZoomInfo

Remote or Bethesda, Maryland • Today

Full-time

USD 128,100.00 - 201,300.00 per year

Machine Learning Engineer

STR

Arlington, Virginia • Today

Full-time

USD 115,000.00 - 140,000.00 per year

Machine Learning Engineer

NT Concepts

Chantilly, Virginia • Today

Full-time

USD 120,336.00 - 180,504.00 per year

Machine Learning Engineer II (Applied Research & Model Development)

PathAI

Remote or Boston, New York • Today

Full-time

USD 107,250.00 - 177,000.00 per year

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Machine Learning Engineer III (Applied Research & Model Development)

PathAI

Remote or Boston, New York • Today

Full-time

USD 130,500.00 - 200,100.00 per year

Software Engineer (Applied AI/ML)

Oklo

Remote or Santa Clara, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Machine Learning Engineer

eCom Solutions, Inc.

Remote • Yesterday

Easy Apply

Full-time

65 - 70

Machine Learning Engineer

Takeda pharmaceutical

Remote • Today

Full-time

USD 160,000.00 per year

Machine Learning Engineer

Dice Talent & Staffing Solutions

Remote • 4d ago

Easy Apply

Full-time

150000 - 300000

Principal Machine Learning Engineer

Vail Resorts

Remote • Today

Full-time

USD 140,000.00 - 185,000.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Machine Learning Engineer

Aziro Technologies LLC

Remote • Today

Easy Apply

Contract

$60 - $80

Machine Learning Engineer

Ramp

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 330,000.00 per year

Machine Learning Engineer I

Motion Recruitment Partners, LLC

Remote or West Chester, Pennsylvania • Today

Easy Apply

Contract

Machine Learning Engineer

DPP Tech, Inc.

Remote • 18d ago

Easy Apply

Contract

Depends on Experience

Principal Machine Learning Engineer

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 264,000.00 - 363,000.00 per year

Machine Learning Engineer

Sift Science, Inc

Remote or San Francisco, California • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Data Scientist II, ML Infrastructure

Pinterest, Inc.

Remote or Palo Alto, California • Today

Full-time

USD 114,297.00 - 235,319.00 per year

Sr. Staff Software Engineer, Pinterest Assistant

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 208,592.00 - 429,454.00 per year

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Motion Recruitment Partners, LLC

Job Details

Skills

Team Building
FOCUS
Collaboration
Systems Engineering
CGI
Computer Science
Electrical Engineering
Python
PyTorch
Deep Learning
Optimization
Algorithms
Research
Security Clearance
C++
Rust
Performance Tuning
Sensors
Machine Learning Operations (ML Ops)
Management
Workflow
Computer Vision
Estimating
Emulation
Training
Evaluation
Machine Learning (ML)
GPU
Embedded Systems
Computer Hardware
Aerospace
Robotics

Summary

Join a high-performing and growing applied machine learning team building advanced computer vision capabilities for real-world, mission-critical applications. In this role, you'll focus on developing and deploying object detection and multi-object tracking models, working with complex datasets and bringing models from initial experimentation through production deployment.

This is a highly hands-on position where you'll own the full ML lifecycle, including data curation and annotation, model training and evaluation, performance optimization, and deployment to edge and embedded platforms. You'll work closely with software and systems engineers to ensure models perform reliably in challenging real-world environments where accuracy, latency, and compute limitations all matter.

What You'll Do

Develop, train, and fine-tune object detection models using architectures such as YOLO, DETR, Faster R-CNN, or similar approaches.
Build and improve multi-object tracking pipelines using frameworks and techniques such as SORT, DeepSORT, ByteTrack, or comparable methods.
Evaluate model performance by analyzing metrics, identifying failure cases, and determining where improvements can be made across both the model and underlying data.
Own the end-to-end data and model pipeline, including reviewing raw data, coordinating annotation efforts, curating datasets, implementing augmentation strategies, training models, and validating results.
Optimize deep learning models for edge and resource-constrained hardware, balancing inference speed, accuracy, memory, and compute limitations.
Utilize technologies such as TensorRT, ONNX, quantization, and pruning to improve model performance for production environments.
Collaborate with software and systems engineering teams to integrate computer vision models into broader production systems.
Work with imagery across different sensor modalities, including electro-optical, infrared, thermal, and other imaging sources.
Continuously improve deployed computer vision systems based on real-world performance and new datasets.

What We're Looking For

5+ years of professional experience in applied machine learning, computer vision, or a related technical discipline.
Bachelor's degree in Computer Science, Electrical Engineering, or a similar technical field. A Master's degree or PhD is highly valued.
Proven experience developing and deploying object detection models in production environments, rather than exclusively academic or research-based work.
Strong programming skills in Python with hands-on experience using PyTorch or another modern deep learning framework.
Strong understanding of computer vision datasets, annotation quality, training behavior, and evaluation metrics.
Ability to diagnose why a model is underperforming and determine whether improvements need to come from the model architecture, training process, dataset, annotations, or other factors.
Experience managing the complete ML development lifecycle, including data preparation, annotation, training, experimentation, evaluation, optimization, and deployment.
Hands-on experience optimizing ML models for edge, embedded, or compute-constrained environments.
Familiarity with technologies such as TensorRT, ONNX, model quantization, and other inference optimization techniques.
Practical understanding of multi-object tracking with experience implementing or working with tracking algorithms.
Ability to understand current computer vision research and translate relevant techniques into practical improvements for production systems.
U.S. citizenship is required (must be able to obtain a clearance).

Nice to Have

Strong development experience with C++ or Rust, particularly for production ML systems, inference, or performance optimization.
Experience working with infrared, thermal, or other specialized sensor data.
Familiarity with MLOps and experiment management tools, such as MLflow, Weights & Biases, dataset versioning platforms, or model registries.
Experience managing computer vision annotation workflows using tools such as CVAT, Label Studio, or comparable platforms.
Broader computer vision experience involving areas such as segmentation, pose estimation, or activity recognition.
Experience leveraging simulation, emulation, or synthetic data for model development, training, or evaluation.
Experience deploying machine learning models onto GPU-accelerated embedded hardware, such as NVIDIA Jetson or similar platforms.
Previous experience working within defense, intelligence, aerospace, autonomous systems, robotics, or other mission-critical environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 887979
Posted 5 days ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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MLOps Engineer / Unicorn Startup / Remote

Remote

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Today

A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base. This opportunity is ideal for engineers who enjoy building infrastructure th

Easy Apply

Full-time

$230000 - $250000

MLOps Engineer // REMOTE / Work-Life Balance

Remote

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Today

An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise env

Easy Apply

Contract

$60 - $70

Machine Learning Engineer III

Remote or West Chester, Pennsylvania

•

Today

Take on a hands-on role developing machine learning solutions that support real products and applications. As a Machine Learning Engineer , you'll work across algorithm development, data pipeline design, model training, validation, deployment, and monitoring. You'll help move machine learning projects from early concepts into reliable, production-ready solutions. This opportunity is a strong fit for an experienced engineer who enjoys both the technical depth of machine learning and the collabor

Easy Apply

Contract