UX Research Intern (Summer 2027)

Triwill Group; Toronto; Hybrid; CAD 55,000 - 66,000; Full time

Benefits offered by this job

Mental health benefits

2 days paid time off

3 days sick time off

Subsidized commuter benefits

Lyft ride credits

Job summary

Lyft is hiring a qualitative User Experience Research Intern in Toronto to advance the driver and rider experience across 300+ cities. You will conduct studies, collaborate with Design, PM, Analytics, and Eng, and gain mentorship while contributing to user-facing products.

Ideal candidates are pursuing a Master’s or PhD in HCI or related fields at a Canadian university, with graduation between Dec 2027 and Summer 2028, and available Summer 2027 in Toronto.

Qualifications

• Currently pursuing a Master’s or PhD in HCI, Anthropology, Design, Psychology, or related field from a Canadian university.
• Graduation date between December 2027 and Summer 2028 is required.
• Available Summer 2027 for internship in Toronto.

Responsibilities

• Design and conduct studies across Lyft product areas independently or with mentors using ethnographic, diary, surveys, usability testing, and field research.
• Review and communicate qualitative/quantitative data to generate insights and actionable recommendations for product and design improvements.

Skills

Qualitative research

User testing

Surveys

Education

Master's degree in HCI or related field

Tools

Qualtrics

SurveyMonkey

Excel/Sheets

Job description

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 is seeking a qualitative User Experience Research Intern to join our team, which aspires to elevate the user experience for our drivers and riders across 300+ cities nationwide. You will conduct research studies, as well as participate in studies alongside more senior researchers from which you’ll gain strong mentorship. You will partner with Design, Product Management, Analytics, and Engineering in order to derive deep insights about our users’ behaviors and attitudes, and communicate results and actionable recommendations across the company.

Interns contribute to user-facing products, working side-by-side with top User Experience Research team members in the industry while having autonomy from the get-go. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours?

Responsibilities:

• Design and conduct studies across key Lyft product areas – independently and in conjunction with more senior researchers. You will utilize methods such as ethnographic & field research, diary studies, surveys, user/usability testing (remote and in-person), guerrilla research, and any other methods you find impactful
• Review, analyze, and communicate qualitative and/or quantitative data to generate tactical and strategic insights, as well as actionable recommendations which drive product innovation and design improvements for users

Experience:

• Currently pursuing a Master's or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada with a graduation date between December 2027 and Summer 2028 (required)
• Available during Summer 2027 for an internship in Toronto
• Extraordinary organizational skills and meticulous eye for detail
• Strong listening and analytical skills; proactive troubleshooter
• Team player with excellent written & verbal communication skills
• Enthusiasm for a collaborative, highly energetic, fun and fast-paced environment
• Experience as a researcher and/or research coordinator for qualitative research studies or school-based research projects, including usability/user testing, surveys, field research, or user interviews

Bonus Points:

• Research experience with mobile technology
• Experience conducting qualitative research in applied research settings, ideally within a Product organization
• Experience designing surveys and experimental research, and analyzing large datasets using appropriate statistical methods
• Experience using Qualtrics or SurveyMonkey
• Experience cleaning, handling, and transforming data in Microsoft Excel and/or Google Sheets
• Experience with SQL, R, and/or other data analysis software (e.g., SPSS)
• Experience with research participant recruitment and management practices
• Design thinking, visual communication, information design, or wireframing skills

Benefits:

• Mental health benefits
• In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
• 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.

The expected base pay range for this position in the Toronto area is CAD $40 - CAD $48 per hour. 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 is a new position.