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Added 26 mins ago
Systems Engineer/Integrated Product Team Lead(IPT)
SAIC
Denver, CO
SAIC is seeking an Integrated Systems Engineer/Integrated Product Team Lead (IPT) to join the National Security and Space Sector (NSS). You would work on a joint Intelligence Community (IC)…
Added 31 mins ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 36 mins ago
Senior Manufacturing Process Engineer
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Added 1 hour ago
Mechanical Product Design Engineer
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Orchard Park, NY
Eaton’s IS AER MSD division is currently seeking a Mechanical Product Design Engineer. This role is based in Orchard Park, NY.
Added 1 hour ago
Lead New Product Development Engineer
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Olean, NY
Eaton’s ES AMER ESS division is currently seeking a Lead New Product Development Engineer.
Added 1 hour ago
Associate, Electrical Engineering (Rochester, NY)
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…air, land, sea and cyber domains in the interest of national…
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Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
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Sr Platform Engineer
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Under the direction of the Director – Platform Technology and the Principal Platform Integration Engineer, this team member will support the direct execution and delivery of technical…
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(USA) Staff, Data Engineer
Walmart
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As a Staff Data Engineer at Walmart, you will design and implement scalable data solutions that align with business strategies and regulatory requirements. This role involves translating…
Added 4 hours ago
Senior Mainframe z/OS Engineer (Remote/ Work from
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Added 4 hours ago
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…design and implement noticeable and impactful changes to the…
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Electrical Engineer- Tooling
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Longmont, CO
Added 5 hours ago
Electrical Engineer - Tooling
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Longmont, CO
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Senior Cloud Systems Administrator
Maxar Intelligence I
Westminster, CO
- $109,000 to $167,000 USD / year
Added 5 hours ago
HPC Systems Engineer
University Corporation for Atmospheric Research
Boulder, CO
Join the High-Performance Computing Systems Group (HSG) at NCAR and help power cutting-edge Earth system science! As an HPC Systems Engineer, you will play a pivotal role in engineering and…
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Networks Systems Engineer III
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Auria is looking to hire a Networks Systems Engineer III to support the Command, Control, Battle Management, and Communications(C2BMC) program. This role is onsite in Colorado Springs, CO.…
Added 5 hours ago
Senior Cybersecurity and Space Vehicle Defense Mission Engineer
The Aerospace Corpor
Colorado Springs, CO
…Cyberspace Combat Department (CCD) within the Cyberspace Systems Security Subdivision (CS3) defends our Nation's interests in, from, and to the space domain. Our team specializes in space…
Added 5 hours ago
2027 Cloud Solutions Engineer / Site Reliability Grad Intern
The Aerospace Corpor
Colorado Springs, CO
…place in space. Aerospace Corporation is hiring Cloud Solutions Engineer / Site Reliability Grad level Interns for the Cloud Platforms and Architectures Department in the Information…
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IR Plume M&S System Engineer
deciBel Research, Inc.
Colorado Springs, CO
Added 5 hours ago
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Regional Application Engineer
Eaton Corporation
Denver, CO · Littleton, CO
- $99,000 to $145,000 USD / year
Eaton’s Global Energy Infrastructure Solutions (GEIS) division is currently seeking a Regional Application Engineer supporting the commercial and industrial markets as part of the Regional…
Added 5 hours ago
Systems Engineer - MBSE
Summit Technology Research Corporation
Huntsville, AL
Added 5 hours ago
Software Engineer
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Huntsville, AL

Canopy

Senior Machine Learning Engineer

Remote, United States

Base Salary: $126,000 - $180,000

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Job details

Pay: Base Salary: $126,000 - $180,000
Experience: 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
Posting language: English
Posted: Jan 26, 2026

Original job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you’ll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.

Responsibilities:

Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy’s technology stack.
Mentor and guide junior engineers and contribute to the hiring process and technical reviews.
5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.

Preferred Qualifications:

Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
Experience using cloud computing platforms, e.g., AWS or GCP.
Experience with MATLAB for algorithm prototyping and research.
Experience with Docker or containerisation.
Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.
Comprehensive medical benefits coverage, dental plans and vision coverage.
Health care and dependent care spending accounts.
Employee and Family Assistance Program (EAP).
Employee discount programs.
Retirement plan with a generous company match.
Generous Paid Time Off, Sick, and Holidays
Family Leave (Maternity, Paternity)
Short- and long-term disability
Life insurance and accidental death & dismemberment insurance

Compensation Range Compensation may vary depending on skills and experience. Base Salary: $126,000 - $180,000

Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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More about this job

Skills

Machine learning
CI/CD
Data analysis
Signal processing
ML
Computer science
Python
Deep learning
PyTorch
TensorFlow
C
C++
Modern languages
Embedded systems
UNIX
Linux
Apple macOS
Cloud computing
AWS
Google Cloud
The MathWorks MATLAB
Research
Docker

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