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Senior Remote Macos Engineer Jobs in Michigan (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

  • Medical

  • Dental

  • Retirement

As a senior member of our AI engineering team, you'll provide technical leadership, mentor ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Senior AWS DevOps Engineer - Remote - USA

Detroit, MI · On-site +1

$128K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Position We're looking to hire a Senior AWS DevOps Engineer to join our team. You'll work with ... Paid Time Off (vacation, sick leave, parental leave, and holidays). * 100% remote work. * The ...

Senior AWS DevOps Engineer - Remote - USA

Lansing, MI · On-site +1

$131K - $169K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Position We're looking to hire a Senior AWS DevOps Engineer to join our team. You'll work with ... Paid Time Off (vacation, sick leave, parental leave, and holidays). * 100% remote work. * The ...

Senior Civil/Structural Engineer

Detroit, MI · On-site +1

$73K - $132K/yr

We are seeking a Licensed Senior Civil/Structural Engineer with 5+ years of experience within the ... If remote, our preference is for candidate to reside in either Eastern or Central time zone. Grow ...

Senior Software Engineer

Dearborn, MI · On-site +1

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Comfort working independently and collaboratively in a distributed, remote team Even better, you ... You will not own a single project - you will move fluidly across many, providing senior engineering ...

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Senior Remote Macos Engineer information

What does a senior remote macOS engineer do?

A Senior Remote Macos Engineer is responsible for designing, developing, and maintaining applications or system software for Apple's macOS platform, often working from a remote location. They collaborate with cross-functional teams, troubleshoot complex issues, and ensure software quality and performance. This role typically requires extensive experience with macOS frameworks, programming languages like Swift or Objective-C, and knowledge of best practices in software architecture for the Apple ecosystem.

What are the key skills and qualifications needed to thrive as a senior remote macOS engineer?

To excel as a Senior Remote macOS Engineer, you need deep expertise in macOS application development, proficiency in Swift/Objective-C, and a solid understanding of system architectures, supported by a relevant degree or equivalent experience. Familiarity with Xcode, Cocoa frameworks, Git, and continuous integration systems, as well as experience with Apple’s Human Interface Guidelines, is typically required. Strong problem-solving skills, self-motivation, and effective remote communication set outstanding candidates apart. These abilities ensure high-quality software delivery, seamless collaboration, and efficient troubleshooting in distributed engineering teams.

What are some typical challenges faced by senior remote macOS engineers when collaborating with cross-functional teams?

Senior Remote macOS Engineers often collaborate with product managers, designers, QA, and backend engineers. One common challenge is ensuring seamless communication across different time zones and remote setups, which can impact project timelines and coordination. Additionally, integrating macOS-specific features with backend services or cross-platform applications may require extra planning and clear documentation. Being proactive in communication and leveraging collaboration tools can help mitigate these challenges and ensure successful project delivery.

What cities in Michigan are hiring for Senior Remote Macos Engineer jobs?

Cities in Michigan with the most Senior Remote Macos Engineer job openings:

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


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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.

Requirements
  • 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.

Benefits
  • 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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