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Patent Agent Computer Science Jobs in Toronto, ON

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field ... Experience in writing technical proposals including Govt. and Industry proposals, writing patents ...

Bachelor's or Master's in Computer Science / Computer Engineering, or equivalent experience * 5+ ... Applied ML literacy: prompt/agent design, retrieval, and evaluating model/agent behavior * Solid ...

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Bachelor's degree in Computer Science, Engineering or a related field is required; a Master ...

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Bachelor's degree in Computer Science, Engineering or a related field is required; a Master ...

Advanced degree from an accredited college or university in computer science, data science ... Skilled in designing multi-agent conversational and autonomous AI systems integrated with ...

Bachelor's degree in Technical Writing, English, Communications, Computer Science, or related field ... Experience documenting AI, ML, agent-based, or autonomous systems; familiarity with API/Swagger ...

About the Team Agent Factory is where Workday's next chapter gets built. We're forming small ... Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ...

Principal Software Developer

Toronto, ON · On-site

CA$215K - CA$291K/yr

... patent proposals, and engineering process improvements. Qualifications * Ability to drive velocity ... in Computer Science or related area. Team / Leadership Qualifications: * Team player possessing ...

MCP/AI Developer

Toronto, ON · On-site

CA$99K - CA$145K/yr

Debug and troubleshoot across the stack (agent/tool logic, APIs, web UI), collaborating with senior ... Master's in Computer Science / Computer Engineering, or a Bachelor's with 3+ years of relevant ...

D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a ... Experience with agentic engineering, including agent harness and agent memory, and orchestration ...

Showing results 41-60

Patent Agent Computer Science information

What are some common challenges faced by patent agents specializing in computer science, and how can they be overcome?

Patent Agents in Computer Science often encounter the challenge of staying up-to-date with rapidly evolving technologies and interpreting complex technical concepts for patent applications. Navigating the differences between software patent eligibility in various jurisdictions can also be demanding. Effective collaboration with inventors and legal teams is essential to ensure accurate and comprehensive patent filings. Staying engaged with continuing education and regularly reviewing new case law helps Patent Agents maintain expertise and manage these challenges successfully.

What is the difference between Patent Agent Computer Science vs Patent Attorney Computer Science?

AspectPatent Agent Computer SciencePatent Attorney Computer Science
CredentialsPatent Bar, technical degree in CSPatent Bar, law degree, and admission to bar
Work EnvironmentPatent offices, law firms, R&D departmentsLaw firms, corporate legal departments, patent offices
Industry UsagePreparing and prosecuting patent applications in CSLegal representation, patent litigation, advising clients
Common Search IntentDifferences, roles, qualificationsLegal scope, responsibilities, career path

Patent Agent Computer Science focuses on preparing and prosecuting patent applications in the tech field, requiring a technical degree and passing the Patent Bar. Patent Attorney Computer Science involves legal representation, including patent litigation and advising clients, requiring a law degree and bar admission. Both roles work closely in the patent process but differ mainly in legal authority and scope.

What is a patent agent in computer science?

Patent Agents in Computer Science are professionals licensed by the United States Patent and Trademark Office (USPTO) to help inventors and organizations protect their computer-related inventions. They specialize in drafting, filing, and prosecuting patent applications, particularly for innovations in software, algorithms, and hardware. While they are not attorneys and cannot represent clients in court, they possess a strong background in computer science and patent law, making them essential for navigating the complex process of securing patents for technological inventions.

What are the key skills and qualifications needed to thrive as a patent agent in computer science?

To thrive as a Patent Agent in Computer Science, you need a strong background in computer science or engineering, familiarity with intellectual property law, and registration with the USPTO. Expertise in patent databases, patent drafting software, and legal research tools is commonly required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting technical concepts and interacting with inventors and attorneys. These skills ensure accurate patent preparation, protection of innovations, and successful navigation of complex legal and technical requirements.
What job categories do people searching Patent Agent Computer Science jobs in Toronto, ON look for? The top searched job categories for Patent Agent Computer Science jobs in Toronto, ON are:
Infographic showing various Patent Agent Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Staff Product Manager, Customer Care Platform & Data

Lyft

Toronto, ON • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago


Lyft rating

7.6

Company rating: 7.6 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

2nd of 9 rated taxi private hire


Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our Toronto office.

Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform & Data teams build the tools our human support agents work in every day-and own the data that tells Lyft, and the world, what our customers are actually experiencing. As AI rapidly changes what's possible, we're reinventing how agents work: pairing them with copilots and AI that surface the right answer instantly, take on repetitive work, and raise the quality and consistency of every interaction. At the same time, we're building the data foundation that turns millions of support contacts into an accurate, trusted view of issue types and trends-used inside the team, across the company, and in what we report externally. This role owns that mandate end to end: setting the vision and strategy, and driving execution on the hardest problems across both the platform and its data.

Responsibilities:
  • Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care & safety reporting
  • Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work
  • Lead execution on the most complex, cross-cutting initiatives across the platform and its data
  • Own the accuracy and integrity of customer care & safety data so it can be trusted for internal decisions, company-wide use, and external reporting on issue types and trends
  • Shape how the platform is architected, configured, and operated as agent workflows and AI capabilities evolve
  • Partner deeply with engineering, data science, ML, design, and support operations to turn strategy into shipped product
  • Serve as the senior product voice on agent platform and data, aligning stakeholders and executives around a clear direction
  • Define the metrics that matter and use them to prioritize and measure real-world impact
Experience:
  • 8+ years of product management experience, including owning the vision and strategy for a platform or a complex, cross-functional product area
  • Direct experience with AI/ML-powered products-ideally copilots, agent-assist, or LLM-based tooling-with a real understanding of their capabilities and limits
  • Strong data fluency: you've owned or worked closely with data pipelines, data quality, and reporting, and you care about getting the numbers right
  • A track record of driving execution on ambiguous, high-complexity problems that span multiple teams and systems
  • Comfortable operating with autonomy and influencing senior stakeholders without direct authority
  • Strengths:
    • Customer obsession: You care deeply about the support experience and dive into the details of customer and agent problems
    • Technical depth: You engage credibly with engineers and understand platform + AI/ML/LLM capabilities, limitations, and emerging developments
    • Data rigor: You treat data as a product-accurate, well-defined, and trustworthy enough to report externally
    • Strategic ownership: You set direction, not just execute against it, and bring others along
    • Bias to action: You break down complex problems, build elegant solutions, and move quickly to deploy them at scale
  • Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred
Benefits:
  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan with company match to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $172,000 - CAD $215,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.


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About Lyft

Sourced by ZipRecruiter

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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