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Remote Rf Optimization Engineer Jobs in Toronto, ON

Fusemachines

Senior Data Engineer

Toronto, ON · Remote

Remote Full-time Senior Data Engineer Are you an experienced Data Engineering professional with a ... Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines ...

Epistemix

AI Engineer

Toronto, ON · Remote

Experience designing and optimizing high-performance, scalable APIs. * Strong problem-solving ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Agilent

Adobe Target Lead Engineer

Mississauga, ON · On-site +1

CA$116.80K - CA$182.50K/yr

In this role, you'll drive digital optimization through experimentation and personalization ... This is a hybrid role: 2 days remote, 3 days in the office Key Responsibilities: * Own the design ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... optimization and alignment with broader business goals Requirements: 5 - 10 years of experience in ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... optimization and alignment with broader business goals Requirements: 5 - 10 years of experience in ...

Woodgrove Technologies Inc.

Process Engineer

North York, ON · On-site +1

CA$77K - CA$122K/yr

Commissioning and optimization of flotation equipment. * Plan, coordinate, and execute pilot plant ... Hybrid Work - Our current work model blends in-office collaboration with remote days, designed to ...

Tucows Inc.

Senior Database Engineer

Toronto, ON · Remote

CA$130.10K - CA$155K/yr

This role is a remote position open to applicants based in Canada and USA. What You'll Do ... Strong performance tuning skills (query optimization, indexing, workload tuning) * Ability to ...

Lumerate

Senior Frontend Developer (Remote)

Toronto, ON · Remote

CA$120K - CA$130K/yr

Performance optimization (bundle splitting, lazy loading, render profiling) * Accessibility (WCAG ... Upgrade your home office setup with our remote or hybrid stipend * Join us for our annual all ...

Invoca

Senior ML Engineer

Toronto, ON · On-site +1

Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... optimization Experience with large-scale model training, distributed computing, or cloud ML ...

Smile.io

Senior Front-End Engineer

Toronto, ON · Remote

This is a full-time remote role working in Canada, Monday to Friday, with significant overlap with ... Understanding of database optimization techniques, including indexing, various types of locks, and ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... optimization Experience with large-scale model training, distributed computing, or cloud ML ...

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Remote Rf Optimization Engineer information

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are the most commonly searched types of Rf Optimization Engineer jobs in Toronto, ON? The most popular types of Rf Optimization Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Rf Optimization Engineer jobs in Toronto, ON? For Remote Rf Optimization Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Toronto, ON are:
Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Toronto, ON as of May 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 4% In-person, and 96% Remote job distribution.

Sr. Machine Learning Engineer, ML Models

Tenstorrent

Toronto, ON • On-site, Remote

CA$100K - CA$500K/yr

Other

Posted 5 days ago

Job description

As a Senior Machine Learning Engineer on the ML Models team at Tenstorrent, you'll take the lead in bringing up and optimizing cutting edge AI models to run on our custom AI devices. You'll experiment, optimize, and push boundaries while solving real world problems. If you love the craft of ML and want to work on models that are used in real world applications, you'll feel right at home.

This role is hybrid, based out of Toronto, ON, with the opportunity to be remote on a candidate-by-candidate basis. 

Who You Are

  • Confident with Python programming and hands-on experience with PyTorch for developing deep learning models.
  • Driven by curiosity and a desire to experiment, always seeking to understand how complex systems work and how to make them better.
  • Possess a deep understanding of ML model architectures, with the ability to optimize both individual components and overall model performance.
  • Comfortable leading a small group of engineers and working closely with cross-functional teams.

 

What We Need

  • Hands-on experience bringing up state-of-the-art ML models on new hardware platforms.
  • Strong debugging instincts to investigate performance issues, tune architectures, and boost model accuracy and robustness.
  • Working knowledge of model optimization techniques, like quantization, flash attention, kernel fusing, and multi-device parallelization.
  • A curiosity-driven mindset that stays current with ML research and brings practical insights to real-world engineering challenges.

What You Will Learn

  • How to get real ML models to fly on a custom AI accelerator
  • Ways to optimize ML model performance, from application to silicon level.
  • What it takes to go from research paper to production ready ML deployment
  • How to work alongside compiler, kernel, and hardware teams to drive new features, performance optimizations, and fixes.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply