Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that ... Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly ...
Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that ... Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly ...
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 ...
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 ...
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 ...
Lead Engineer, Reinforcement Learning & Scenario Generation
Toronto, ON · Remote
$225K - $300K/yr
Implement curriculum learning, domain randomization, and multi-agent RL strategies. * Optimize RL ... Master's degree in Robotics, AI, Computer Science, Mathematics, or a related field. * 7+ years of ...
Quick apply
Lead Engineer, Reinforcement Learning & Scenario Generation
Toronto, ON · Remote
$225K - $300K/yr
Implement curriculum learning, domain randomization, and multi-agent RL strategies. * Optimize RL ... Master's degree in Robotics, AI, Computer Science, Mathematics, or a related field. * 7+ years of ...
Senior Manager, Generative Artificial Intelligence
Toronto, ON · On-site
CA$103K - CA$192K/yr
Bachelor's/Master's in Computer Science, Engineering, Mathematics, or related field. * Hands-on ... Familiarity with agent-based architectures or multi-agent systems (LangChain agents, AutoGen ...
Senior Manager, Generative Artificial Intelligence
Toronto, ON · On-site
CA$103K - CA$192K/yr
Bachelor's/Master's in Computer Science, Engineering, Mathematics, or related field. * Hands-on ... Familiarity with agent-based architectures or multi-agent systems (LangChain agents, AutoGen ...
AI Engineer (Global Security)
Toronto, ON · On-site
Evaluate and recommend technical approaches (multi-agent, single-agent, rule-based) based on threat ... Must-have * Bachelor's degree (or equivalent) in Computer Science, Software Engineering, or a ...
AI Engineer (Global Security)
Toronto, ON · On-site
Evaluate and recommend technical approaches (multi-agent, single-agent, rule-based) based on threat ... Must-have * Bachelor's degree (or equivalent) in Computer Science, Software Engineering, or a ...
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 ...
Quick apply
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 ...
Delivery Engineer - Canada
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 ...
Delivery Engineer - Canada
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 ...
Director, AI Engineering
Toronto, ON · On-site +1
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 ...
Director, AI Engineering
Toronto, ON · On-site +1
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 ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Toronto, ON · On-site +1
Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ... Contribute to publications, patents, and Autodesk's external research visibility Evaluation & Model ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning ...
Toronto, ON · On-site +1
Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ... Contribute to publications, patents, and Autodesk's external research visibility Evaluation & Model ...
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 ...
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 ...
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people ... S. or M.S. in Computer Science or a related field, or equivalent practical experience. Why ...
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people ... S. or M.S. in Computer Science or a related field, or equivalent practical experience. Why ...
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people ... S. or M.S. in Computer Science or a related field, or equivalent practical experience. Why ...
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people ... S. or M.S. in Computer Science or a related field, or equivalent practical experience. Why ...
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 ...
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 ...
... in computer science, data analytics, software engineering, data engineering, artificial Intelligence or equivalent experience in the field Nice to Have: * AI Agent Development & Deployment ...
New
... in computer science, data analytics, software engineering, data engineering, artificial Intelligence or equivalent experience in the field Nice to Have: * AI Agent Development & Deployment ...
New
AI Solutions Developer Co-op (4 months) - Starting September
CA$28.09 - CA$33.05/hr
... Computer Science discipline or equivalent. * Experience creating AI agents in Microsoft Copilot ... Familiarity with knowledge sources and agent grounding is an asset (Databricks, SharePoint, Teams ...
AI Solutions Developer Co-op (4 months) - Starting September
CA$28.09 - CA$33.05/hr
... Computer Science discipline or equivalent. * Experience creating AI agents in Microsoft Copilot ... Familiarity with knowledge sources and agent grounding is an asset (Databricks, SharePoint, Teams ...
Frontend Software Engineer
Mississauga, ON · Hybrid
CA$85K - CA$115K/yr
Implement advanced, agent-driven user interfaces that render structured AI outputs, workflows, and ... A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...
Quick apply
Frontend Software Engineer
Mississauga, ON · Hybrid
CA$85K - CA$115K/yr
Implement advanced, agent-driven user interfaces that render structured AI outputs, workflows, and ... A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...
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 ...
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 ...
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 ...
Senior AI Engineer
Toronto, ON · On-site
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 ...
Quick apply
Senior AI Engineer
Toronto, ON · On-site
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 ...
Patent Agent Computer Science information
What are some common challenges faced by patent agents specializing in computer science, and how can they be overcome?
What is the difference between Patent Agent Computer Science vs Patent Attorney Computer Science?
| Aspect | Patent Agent Computer Science | Patent Attorney Computer Science |
|---|---|---|
| Credentials | Patent Bar, technical degree in CS | Patent Bar, law degree, and admission to bar |
| Work Environment | Patent offices, law firms, R&D departments | Law firms, corporate legal departments, patent offices |
| Industry Usage | Preparing and prosecuting patent applications in CS | Legal representation, patent litigation, advising clients |
| Common Search Intent | Differences, roles, qualifications | Legal 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?
What are the key skills and qualifications needed to thrive as a patent agent in computer science?

Full-time
Medical, Dental, Life, Retirement, PTO
Posted 16 days ago
Lyft rating
7.6
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
- 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
- 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.
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