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Senior Machine Learning Engineer

Motion Recruitment Partners, LLC

Boston, Massachusetts • Today

Easy Apply

Full-time

Senior Machine Learning Engineer - Boston, MA

Motion Recruitment Partners, LLC

Boston, Massachusetts • Today

Easy Apply

Full-time

USD 220,000.00 - 240,000.00 per year

Senior AI/ML Engineer - Boston, MA

Motion Recruitment Partners, LLC

Boston, Massachusetts • Today

Easy Apply

Full-time

USD 190,000.00 per year

Senior Machine Learning Engineer

Pyramid Technology Solutions, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior ML / Evaluation Engineer

EPAM Systems

Remote • Today

Full-time

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

Senior AI/ML Engineer | Data Science

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$135000 - $165000

Senior ML Engineer

Flagship Pioneering, Inc.

Cambridge, Massachusetts • Today

Full-time

Senior ML Engineer, Computer Vision

Berkshire Grey

Bedford, Massachusetts • Today

Full-time

USD 130,000.00 - 200,000.00 per year

Sr. Machine Learning Engineer, Speech LLM Evaluation

Apple, Inc.

Cambridge, Massachusetts • Today

Full-time

Senior Machine Learning Engineer - Growth

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Senior Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Senior Machine Learning Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Sr. Machine Learning Engineer

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 249,600.00 - 332,012.00 per year

Senior, ML Engineer - Tracking

Torc Robotics

Remote • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior machine learning engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Senior Machine Learning Engineer (Casualty / Claims Intelligence)

CCC Information Services Inc.

Remote or Chicago, Illinois • Today

Full-time

USD 180,000.00 - 225,000.00 per year

Senior, Machine Learning Engineer - Camera Model

Torc Robotics

Remote • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior ML Engineer, Computer Vision

Anduril Industries

Remote or Irvine, California • Today

Full-time

USD 220,000.00 - 292,000.00 per year

Senior ML Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Senior Machine Learning Engineer, Search & Intelligence

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Senior Machine Learning Engineer, Fulfillment

Instacart

Remote • Today

Full-time

USD 207,000.00 - 218,500.00 per year

Senior Machine Learning Engineer I, Inventory

Etsy, Inc

Remote or New York, New York • Today

Full-time

Senior Machine Learning Engineer - Localization

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)

EvolutionIQ

Remote or Chicago, Illinois • Today

Full-time

USD 180,000.00 - 225,000.00 per year

Senior Staff ML Engineer, Spot

Boston Dynamics, Inc.

Waltham, Massachusetts • Today

Full-time

USD 175,000.00 - 215,000.00 per year

Senior Staff Audio Machine Learning Engineer

Boston Dynamics, Inc.

Waltham, Massachusetts • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Machine Learning Engineer, Ranking - Quora (Remote)

Quora

Remote or Canada, Kentucky • Today

Full-time

USD 189,507.00 - 274,604.00 per year

Senior Machine Learning Tracking Engineer

Anduril Industries

Waltham, Massachusetts • Today

Full-time

USD 220,000.00 - 292,000.00 per year

Senior Staff ML Engineer- Atlas Agents Team

Boston Dynamics, Inc.

Waltham, Massachusetts • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Motion Recruitment Partners, LLC

Job Details

Skills

Artificial Intelligence
D3.js
IoT
Performance Tuning
System Integration
Evaluation
Product Requirements
Workflow
Quality Management
Lifecycle Management
Estimating
PyTorch
R
Computer Vision
Data Engineering
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Amazon S3
Amazon EC2
Docker
3D Computer Graphics
Warehouse
Research
Optimization
CUDA
Computer Hardware
Python
C++
Data Quality
Active Learning
Quality Assurance
Machine Learning (ML)
Mentorship
Technical Direction
Roadmaps
Collaboration
Robotics
SAP BASIS

Artificial Intelligence
D3.js
IoT
Performance Tuning
System Integration
Evaluation
Product Requirements
Workflow
Quality Management
Lifecycle Management
Estimating
PyTorch
R
Computer Vision
Data Engineering
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Amazon S3
Amazon EC2
Docker
3D Computer Graphics
Warehouse
Research
Optimization
CUDA
Computer Hardware
Python
C++
Data Quality
Active Learning
Quality Assurance
Machine Learning (ML)
Mentorship
Technical Direction
Roadmaps
Collaboration
Robotics
SAP BASIS

Summary

Senior Machine Learning Engineer - Robotics & Computer Vision

An innovative robotics company is seeking a Senior Machine Learning Engineer to help transform the future of warehouse automation through advanced AI and computer vision. This full-time opportunity focuses on developing and deploying next-Generation perception systems that enable robots to understand, interpret, and interact with complex physical environments. You'll work with cutting-edge technologies including Python, C++, PyTorch, YOLO, Mask R-CNN, Transformers, PointNet, TensorRT, ONNX Runtime, CUDA, and NVIDIA Jetson Orin to build high-performance 2D/3D vision models and deploy them directly onto robotic hardware.

Required Skills & Experience

5+ years of professional experience in Machine Learning and Computer Vision.
Proven experience developing and deploying production ML solutions into physical-world applications such as robotics, autonomous vehicles, or IoT.
Expert-level proficiency in Python and PyTorch.
Working knowledge of C++ for model deployment, performance optimization, and system integration.
Strong experience with 2D computer vision architectures, including YOLO, Mask R-CNN, and Vision Transformers.
Experience with 3D computer vision, including PointNet, grasp generation, multi-view geometry, and camera calibration.
Experience developing multimodal vision systems that combine 2D image inputs with 3D geometric information.
Hands-on experience optimizing and deploying models using TensorRT, ONNX Runtime, CUDA, or similar technologies.
Understanding of model quantization, graph optimization, and low-latency inference.
Experience working with large-scale labeled datasets, including data curation, quality assurance, and identifying dataset bias.
Experience developing and maintaining ML data pipelines and improving model performance through systematic evaluation.
Ability to translate product requirements into engineering solutions and communicate technical trade-offs to non-technical stakeholders.

Desired Skills & Experience

Experience deploying machine learning models on NVIDIA edge computing platforms, particularly NVIDIA Jetson Orin.
Familiarity with Docker and containerized deployment environments.
Experience with AWS or Google Cloud Platform, including services such as S3 and EC2.
Familiarity with active learning strategies and automated dataset improvement workflows.
Experience with data labeling platforms and annotation quality management.
Familiarity with experiment tracking and ML lifecycle management tools.
Experience integrating perception outputs with robotic control systems.
Background in warehouse automation, robotic manipulation, industrial robotics, or autonomous systems.
Experience with grasp planning, object pose estimation, and complex scene understanding.
Experience mentoring engineers, conducting code reviews, and contributing to technical roadmaps.

What You Will Be Doing Tech Breakdown

Programming: Python, C++
Machine Learning: PyTorch
2D Computer Vision: YOLO, Mask R-CNN, Transformers
3D Computer Vision: PointNet, Multi-View Geometry, Grasp Generation
Model Optimization: TensorRT, ONNX Runtime, CUDA
Edge Computing: NVIDIA Jetson Orin
Data Engineering: Dataset Curation, Active Learning, Data Quality Automation
Cloud Infrastructure: AWS / Google Cloud Platform, S3, EC2
Development & Deployment: Docker, ML Pipelines, Experiment Tracking
Robotics: Perception Integration, Grasping, Scene Understanding

Daily Responsibilities

Design, develop, and train advanced multimodal vision models that combine 2D image data with 3D geometry to solve complex robotic grasping and scene-understanding challenges.
Architect and improve the company's perception stack to enable robots to operate reliably in dynamic and unpredictable warehouse environments.
Own the end-to-end deployment of machine learning models, taking solutions from research and experimentation into production robotic hardware.
Optimize model performance through graph optimization, quantization, and inference acceleration using TensorRT, ONNX Runtime, and CUDA.
Deploy and integrate models onto NVIDIA Orin edge computing platforms, ensuring low-latency inference and efficient hardware utilization.
Develop high-performance Python and C++ code to integrate perception outputs into the broader robotic control system.
Own and improve existing labeled datasets and data pipelines, identifying bottlenecks and opportunities to improve data quality.
Implement active learning strategies to identify challenging edge cases and systematically improve model robustness.
Monitor dataset quality, detect statistical bias, and automate quality assurance throughout the ML pipeline.
Conduct rigorous code reviews and establish best practices for production-grade machine learning software.
Mentor junior engineers and contribute to the team's technical direction and long-term perception roadmap.
Collaborate with robotics, software, and product teams to translate business requirements into scalable engineering solutions.
Communicate technical decisions, model performance, and engineering trade-offs to cross-functional stakeholders.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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: 894782
Posted 13 hours 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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Motion Recruitment Partners, LLC

Job Details

Skills

Artificial Intelligence
D3.js
IoT
Performance Tuning
System Integration
Evaluation
Product Requirements
Workflow
Quality Management
Lifecycle Management
Estimating
PyTorch
R
Computer Vision
Data Engineering
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Amazon S3
Amazon EC2
Docker
3D Computer Graphics
Warehouse
Research
Optimization
CUDA
Computer Hardware
Python
C++
Data Quality
Active Learning
Quality Assurance
Machine Learning (ML)
Mentorship
Technical Direction
Roadmaps
Collaboration
Robotics
SAP BASIS

Artificial Intelligence
D3.js
IoT
Performance Tuning
System Integration
Evaluation
Product Requirements
Workflow
Quality Management
Lifecycle Management
Estimating
PyTorch
R
Computer Vision
Data Engineering
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Amazon S3
Amazon EC2
Docker
3D Computer Graphics
Warehouse
Research
Optimization
CUDA
Computer Hardware
Python
C++
Data Quality
Active Learning
Quality Assurance
Machine Learning (ML)
Mentorship
Technical Direction
Roadmaps
Collaboration
Robotics
SAP BASIS

Summary

5+ years of professional experience in Machine Learning and Computer Vision.
Proven experience developing and deploying production ML solutions into physical-world applications such as robotics, autonomous vehicles, or IoT.
Expert-level proficiency in Python and PyTorch.
Working knowledge of C++ for model deployment, performance optimization, and system integration.
Strong experience with 2D computer vision architectures, including YOLO, Mask R-CNN, and Vision Transformers.
Experience with 3D computer vision, including PointNet, grasp generation, multi-view geometry, and camera calibration.
Experience developing multimodal vision systems that combine 2D image inputs with 3D geometric information.
Hands-on experience optimizing and deploying models using TensorRT, ONNX Runtime, CUDA, or similar technologies.
Understanding of model quantization, graph optimization, and low-latency inference.
Experience working with large-scale labeled datasets, including data curation, quality assurance, and identifying dataset bias.
Experience developing and maintaining ML data pipelines and improving model performance through systematic evaluation.
Ability to translate product requirements into engineering solutions and communicate technical trade-offs to non-technical stakeholders.

Desired Skills & Experience

Experience deploying machine learning models on NVIDIA edge computing platforms, particularly NVIDIA Jetson Orin.
Familiarity with Docker and containerized deployment environments.
Experience with AWS or Google Cloud Platform, including services such as S3 and EC2.
Familiarity with active learning strategies and automated dataset improvement workflows.
Experience with data labeling platforms and annotation quality management.
Familiarity with experiment tracking and ML lifecycle management tools.
Experience integrating perception outputs with robotic control systems.
Background in warehouse automation, robotic manipulation, industrial robotics, or autonomous systems.
Experience with grasp planning, object pose estimation, and complex scene understanding.
Experience mentoring engineers, conducting code reviews, and contributing to technical roadmaps.

What You Will Be Doing Tech Breakdown

Programming: Python, C++
Machine Learning: PyTorch
2D Computer Vision: YOLO, Mask R-CNN, Transformers
3D Computer Vision: PointNet, Multi-View Geometry, Grasp Generation
Model Optimization: TensorRT, ONNX Runtime, CUDA
Edge Computing: NVIDIA Jetson Orin
Data Engineering: Dataset Curation, Active Learning, Data Quality Automation
Cloud Infrastructure: AWS / Google Cloud Platform, S3, EC2
Development & Deployment: Docker, ML Pipelines, Experiment Tracking
Robotics: Perception Integration, Grasping, Scene Understanding

Daily Responsibilities

Design, develop, and train advanced multimodal vision models that combine 2D image data with 3D geometry to solve complex robotic grasping and scene-understanding challenges.
Architect and improve the company's perception stack to enable robots to operate reliably in dynamic and unpredictable warehouse environments.
Own the end-to-end deployment of machine learning models, taking solutions from research and experimentation into production robotic hardware.
Optimize model performance through graph optimization, quantization, and inference acceleration using TensorRT, ONNX Runtime, and CUDA.
Deploy and integrate models onto NVIDIA Orin edge computing platforms, ensuring low-latency inference and efficient hardware utilization.
Develop high-performance Python and C++ code to integrate perception outputs into the broader robotic control system.
Own and improve existing labeled datasets and data pipelines, identifying bottlenecks and opportunities to improve data quality.
Implement active learning strategies to identify challenging edge cases and systematically improve model robustness.
Monitor dataset quality, detect statistical bias, and automate quality assurance throughout the ML pipeline.
Conduct rigorous code reviews and establish best practices for production-grade machine learning software.
Mentor junior engineers and contribute to the team's technical direction and long-term perception roadmap.
Collaborate with robotics, software, and product teams to translate business requirements into scalable engineering solutions.
Communicate technical decisions, model performance, and engineering trade-offs to cross-functional stakeholders.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Dice Id: 10105282
Position Id: 894782
Posted 13 hours ago

Company Info

About Motion Recruitment Partners, LLC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Lead Perception Engineer

Woburn, Massachusetts

•

Today

Easy Apply

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$160000 - $200000

Lead Perception Engineer

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Easy Apply

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