Level

Capital One

Lead Technical Recruiter (Manager, IC) - Canada AI Hub

Capital One is hiring a Lead Technical Recruiter (Manager, IC) - Canada AI Hub in Toronto, Canada. It pays $130k-$148k a year and Level rates it ; you can apply on Capital One.

Level's read on this job

  • Level rates this HR role Uses AI ●●○○: an ordinary role that requires AI tools.
  • Pay on this posting starts 8% higher than the typical HR posting on Level.
  • The posting mentions MLOps, computer vision and NLP among its tools and skills.
  • Capital One has 2,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

ml-opscomputer-visionnlp
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,

Lead Technical Recruiter (Manager, IC) - Canada AI Hub

About Capital One Canada:

For 30 years, we’ve been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.


We’re driven by what’s possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians. Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking.


We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you’ll take full accountability for your path, upskilling through hands-on experience and mentorship, to turn your curiosity into a career built on your own terms.


Are you ready to redefine what’s next?

About the Role:

Capital One Canada is accelerating its investment in next-generation Applied AI, Machine Learning, and Data Science capabilities. We are seeking an accomplished Manager-level Technical Recruiter to lead strategic talent acquisition efforts across Toronto and Canada's rapidly evolving AI ecosystem. 


As a senior individual contributor, you will play a critical role in identifying, engaging, and securing exceptional technical talent across AI Engineering, Applied Research, Deep Learning, ML Infrastructure, and AI Platforms. Partnering directly with senior engineering and research leaders, you will shape hiring strategies, deliver actionable talent market intelligence, and develop innovative sourcing approaches to compete for highly sought-after AI talent. This role requires a unique combination of deep technical recruiting expertise, strategic advisory capabilities, competitive talent intelligence, and exceptional candidate engagement. You will leverage data-driven insights, advanced sourcing techniques, and recruiting technology to improve hiring outcomes, accelerate decision-making, and deliver an outstanding candidate experience.

Your Responsibilities:


  • Lead Full-Cycle AI/ML Recruitment: Manage end-to-end hiring for specialized AI Engineering, Machine Learning, Applied Research, MLOps, and AI Platform roles, from talent sourcing through offer acceptance.
  • Build Strategic Talent Pipelines: Identify and engage high-caliber AI/ML talent across Canada's key technology hubs, including Toronto, Waterloo, Montréal, and Vancouver, leveraging research communities, academic networks, and advanced sourcing platforms.
  • Partner with Technical Leaders: Collaborate with Engineering and Research leaders to understand hiring priorities, develop targeted recruiting strategies, and provide actionable talent market insights.
  • Optimize Recruiting Performance: Leverage recruiting metrics and talent intelligence to improve pipeline quality, hiring efficiency, candidate conversion, and offer acceptance rates.
  • Deliver Recruiting Excellence: Champion structured hiring practices, streamline recruiting processes, and provide an exceptional candidate and stakeholder experience throughout the recruitment lifecycle.

Basic Qualifications:


  • 5+ years of experience managing full-cycle technical recruitment within high-growth technology organizations, large enterprises, or executive search environments
  • 2+ years of specialized recruiting or sourcing experience across Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Applied Research, or Advanced Data Science, including experience hiring senior individual contributors and technical leaders at Manager, Senior Manager, Director, or Senior Director levels. 
  • 2+ years of experience recruiting within the Canadian technology ecosystem, with demonstrated knowledge of talent markets across Toronto, Waterloo, Montréal, and Vancouver. 
  • Demonstrated proficiency in advanced passive talent sourcing techniques, including GitHub, Google Scholar, Boolean/X-ray searches, research publications, and technical conferences.
  • Proven ability to navigate complex compensation negotiations, including equity buyouts, sign-on incentives, competing offers, and the successful closing of highly sought-after technical talent

Preferred Qualifications:


  • Bachelor's Degree 
  • Recruiting Process Excellence: Expertise in designing structured intake processes, competency-based evaluation frameworks, actionable interview debriefs, and clearly defined service-level agreements (SLAs) to accelerate hiring decisions and maximize candidate conversion.
  • Advanced Technical Fluency: Deep understanding of the AI/ML talent landscape, with the ability to differentiate between AI Engineers, Applied Researchers, Data Scientists, and ML Infrastructure Engineers, and effectively assess specialized technical expertise without relying on scripted evaluations. 
  • Strategic Executive Partnership: Extensive experience advising Research VPs, Engineering Directors, and senior technical stakeholders on talent strategy, workforce planning, and critical hiring priorities. 
  • Established AI Talent Network: Strong relationships with national AI institutes (Vector Institute, Mila, Amii, Scale AI, and top Tech universities).

Working at Capital One


You’ll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.


  • Take ownership of your own potential: Whether you’re looking to upskill, pivot into new business areas, or master your craft, you’ll have access to tools and mentorship to reach your potential and define your career trajectory.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.

  • Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You’ll find that Capital One is committed to helping you thrive and evolve every step of the way.


This posting is for an existing vacancy.


The expected annual salary range for this position is $130,000 to $148,400. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non discretionary depending on the plan.


We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.



Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

How we rate this

Lead Technical Recruiter (Manager, IC) - Canada AI Hub at Capital One rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionNLP

Also common in HR jobs at this level

Pay

This job starts at
$130k
Typical HR job
$120k

This posting starts 8% above the typical HR job. See HR jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  5. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Computer vision, and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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