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Remote Junior Blockchain Developer Jobs in Michigan

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

CSAA

Review work of peers and provide training to junior analysts * Develops and analyzes data related ... Proficiency in statistical analysis and programming languages, such as: SQL, R, Python, Emblem ...

Kingscott

Civil Engineer

Portage, MI · On-site +1

This remote position requires the individual to live in the state of Michigan with the ability to ... Provide technical guidance and mentorship to junior staff as needed. * Provide technical support ...

CSAA

Provides mentorship and guidance for more junior colleagues * Provide analytical support to other ... Proficiency in statistical analysis and programming languages, such as: SQL, R, Python, Radar, etc.

New

Corning

$111K - $146K/yr

Experience mentoring junior engineers or helping define reusable development patterns. Experience ... A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office ...

Leidos

Senior Civil/Structural Engineer

Detroit, MI · On-site +1

$73K - $132K/yr

... junior staff members. Site-visits to client substation facilities are expected to be part of the ... If remote, our preference is for candidate to reside in either Eastern or Central time zone. Grow ...

CSAA

... programming, along with the ability to translate complex findings into clear business ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

Crowe LLP

Senior AI Engineer

Grand Rapids, MI · On-site +1

$100K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Guide junior and mid-level engineers through design reviews, code reviews, and hands-on technical ...

GEI Consultants

Dam Safety Engineer

Marquette, MI · On-site +1

$85K - $120K/yr

A fully remote option may be available for the right candidate. Candidate will be part of a ... mentor junior staff. * Contribute to proposals and business development efforts. Minimum ...

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Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 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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