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Added 4 days ago
IC
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- Contract
Design, develop, test, and support Python-based applications and services.
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Proficiency in C++ and Python; Pytest is preferred.
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…(REST/JSON/GraphQL), Postman/Bruno, and GitHub; scripting knowledge of…
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Toronto, ON
- Full-time
You can demonstrate familiarity with machine learning, AI modeling, and technical concepts such as Java or Python. It’s an asset if you’ve worked closely with engineering and modeling teams…
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Added 4 days ago
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Lead Digital Verification Engineer
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Experience with scripting languages such as Python, Perl, Ruby, Sed, or Awk is also strongly preferred
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Manager, Pension Risk Transfer (PRT) Modelling & Analytics
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Optics Designer (Ongoing Opportunities)
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Added 4 days ago
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Quality Engineer
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Kitchener, ON
- $70,000 to $85,000 CAD / year
Familiarity with Python or similar programming languages.
Added 4 days ago
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Program Manager, Carrier Operations & Governance
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- Full-time
- Remote
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Supervisor, Data Architect
RSM Canada
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Senior Program Manager – AI Security Research
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Toronto, ON
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Senior Specialist, Item File (SQL/Python)
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Mississauga, ON
- Full-time
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Senior AI Engineer, IT Solutions 1 1 1
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Toronto, ON
Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
Added 4 days ago
NA
Data and Insights Analyst
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
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Experience with Microsoft Fabric or a similar lakehouse platform, Python, Campus Solutions, and a current Microsoft Fabric or Power BI certification is an asset.
Added 4 days ago
Software Engineer, Backend
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Toronto, ON
1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
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Senior Data Science Developers
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Toronto, ON
- Full-time
The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products
Added 4 days ago
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Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only
Vivid Soft Global
Montreal, QC
- Contract
Proficiency in Python, with experience building APIs, integrations, and enterprise applications
Added 4 days ago
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Systems Modeling Engineer
General Fusion
Richmond, BC
- $120,000 to $140,000 CAD / year
- Full-time
Experience building process models with Python or other process modeling tools in combination with the ability to quickly pick up new tools
Added 4 days ago
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Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Have or desire to become an AWS certified developer
Added 4 days ago
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Toronto, ON
Proficiency in Python, JavaScript, TypeScript, or another relevant programming language.
Added 4 days ago
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Mississauga, ON
- Full-time
The Java Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination…

Lyft

Software Engineer, Backend

Toronto, ON, Canada

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Job details

Experience: 1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
Posting language: English
Posted: Nov 3, 2026

Original 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.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging Machine Learning to better serve our customers. The Machine Learning Platform (MLP) team is seeking a backend Software Engineer to help build and operate our platform, which supports real-time, online, and offline ML model execution, development, and iteration across Lyft. In this role, you will own well-defined tasks and contribute to features alongside a team of highly motivated Machine Learning and Software Engineers, learning from senior engineers while shipping production code that impacts systems across the entire business.

If you are interested in hands-on exposure to classical machine learning models and production ML systems at scale, with applications across each facet of the marketplace and business, we are searching for you.

If you are a creative and critical thinker with an interest in machine learning systems, eager to learn and grow as an engineer, and passionate about solving business problems using data in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

Own well-defined tasks and contribute to features on the ML platform, seeking guidance from senior team members when needed
Develop reliable, performant, well-tested, readable, maintainable code that follows team coding standards and meets feature requirements
Participate actively in code reviews, both giving and receiving feedback
Monitor the stability and performance of your code after deployment, and proactively fix bugs and debug issues within your scope
Participate in the team's operational responsibilities, including on-call rotations and following through on postmortem action items
Contribute to technical debt reduction and technology modernization efforts
Write documentation for the code and tasks you work on, including runbooks where needed, and help improve onboarding materials
Participate in postmortems and planning discussions, providing input and feedback
Collaborate with cross-functional partners, including the Machine Learning Engineers and Data Scientists who build on the platform
Build your understanding of the ML platform and the tradeoffs behind its design by working closely with senior team members
Utilize AI tooling to accelerate development workflows.

Experience:

BSc/MSc in Computer Engineering, Computer Science, or a related field, or relevant work experience
1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
Experience with Linux
Nice to Have: Exposure to machine learning systems or ML serving/training/deployment infrastructure through coursework, projects, or work experience; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud)
Nice to Have: Experience with AI assisted coding such as Cursor or Claude Code

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 $88,000 - CAD $110,000, 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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More about this job

Responsibilities

The backend engineer will develop and maintain reliable, performant code for the Machine Learning platform while collaborating with cross-functional teams. Responsibilities include monitoring system performance, participating in on-call rotations, and contributing to technical debt reduction.

Requirements

Candidates must have a degree in Computer Science or a related field, or equivalent work experience, along with at least 1 year of backend engineering experience. Proficiency in Python, Go, or Java and experience with Linux environments are required.

Skills

Backend engineering
Python
Go
Java
Linux
Machine learning
ML platform
Software development
Debugging
Code reviews
Technical documentation
Cloud computing
AWS
Azure
Google Cloud
AI tooling

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Backend
Machine Learning
ML Platform
Python
Go
Java
Linux
AWS
Azure
Google Cloud
Cursor
Claude Code
API
System design
Debugging
Code review
Technical debt
On-call
Postmortem
Data science
Scalability
Production code
Cloud infrastructure

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