Jobs in the United States

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Added 7 hours ago
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Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
As a Senior Google AI Engineer, you will serve as a hands‑on technical leader for AI solution delivery. You’ll translate mission needs into secure, scalable AI/ML systems; guide data,…
Added 11 hours ago
Staff Software Engineer, Applied AI
SuperDial
Burlingame, CA
SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives…
Added 12 hours ago
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Google Data Specialist
Accenture
Oklahoma City, OK
- $70,350 to $196,000 USD / year
Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).
Added 12 hours ago
A
Google Senior Data Engineer
Accenture
Oklahoma City, OK
- $94,400 to $266,300 USD / year
A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning - now building deep expertise in Google Cloud Platform (GCP). You are eager to apply…
Added 12 hours ago
Engineer, Enterprise AI
NAVITUS HEALTH SOLUTIONS LLC
MIDDLETON, WI
Added 15 hours 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 16 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 16 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 16 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 16 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 16 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 16 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 23 hours ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.
Added 23 hours ago
AI/ML Engineer
Avalore, LLC
Arlington, VA
The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. This person will create utilities and ensure seamless function of orchestration capabilities…
Added 1 day ago
AC
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $185,000 to $270,000 USD / year
We’re looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate’s AI products. You combine deep DevOps and cloud infrastructure…
Added 1 day ago
AC
Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $300,000 USD / year
We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Agentic AI Security who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk…
Added 1 day ago
AI Automation Engineer (Quality) NC Hybrid
Cisco Systems, Inc.
RTP, NC
As an Automation QA Engineer, you are the guardian of that functional quality - owning the automated testing ecosystem that keeps Circuit reliable, scalable, and production-ready across…
Added 1 day ago
Senior Engineer Data Enablement & Management (Redshift/Databricks)
Stateside
Adelphi, MD
The Senior Engineer, Data Enablement & Management is responsible for leading the design, implementation, modernization, and operational reliability of UMGC's enterprise Lakehouse and Data &…
Added 1 day ago
Senior AI Engineer
USA-Medtronic MiniMed, Inc 1017
Atlanta, GA
MiniMed is building a lean, high-leverage AI & Data Science team. We are looking for a Senior AI Engineer who builds AI capabilities hands-on and sets the standard the rest of the team…
Added 1 day ago
AI - ML DevOps Engineer
HonorHealth Support Services
United States
The AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This role…
Added 1 day ago
AI / ML Developer
Peraton
Remote, United States
The Software Engineer will operate in a fast‑paced innovation environment, rapidly developing and validating proof‑of‑concepts for advanced AI and machine learning use cases. The role…
Added 1 day ago
Senior Gen AI Engineer
Fractal Analytics Inc
MA
We are looking for an experienced GenAI Senior Engineer to design, build, and maintain scalable, secure, and production-grade AI platforms and applications. The role will focus on…
Added 1 day ago
Senior Data Engineer I QuantumBlack, AI by McKinsey
MCKINSEY AND COMPANY INC
NEW YORK, NY
…capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model management, observability, and automated retraining. You will also…
Added 1 day ago
Senior Manager, AI & Analytics Engineering
The Coca-Cola Company
Atlanta, GA
Engineer production Python and API services with automated testing, CI/CD, monitoring, and clear operational ownership; design for performance, concurrent demand, reliability, scale, and…
Added 1 day ago
Data Scientist - Boston, MA
Kelly Services
Boston, MA
MLOps experience supporting batch and real-time model deployment

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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