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Added 13 mins ago
F
Software Engineer - II
FISPAN
Vancouver, BC
- Full-time
We are looking for an experienced backend engineer who loves technology, can take ownership of the projects, is able to design and implement solutions to complex problems, feels proud of…
Added 26 mins ago
SR
Senior Software Engineer
Sage Recruiting Inc.
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
They’re hiring multiple engineers, all full-stack with a backend focus, to work on the core product. You could also mix in some ETL work or work on their RAG engine in Python if that’s of…
Added 28 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 43 mins ago
Software Development Engineer, Rendering Foundations
Amazon
Vancouver, BC
- 2+ years of full stack development experience
Added 55 mins ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 1 hour ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 1 hour ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
Senior Site Reliability Engineer – Adobe Experience Manager (AEM), CDN and Edge Delivery
Added 1 hour ago
SS
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 1 hour ago
Client Software Engineer - EA Sports™ FC
Electronic Arts
Vancouver, BC
As a Software Engineer, you will report directly to a Development Director and collaborate closely with producers, designers, artists, and fellow engineers. You will tackle complex…
Added 1 hour ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
Added 2 hours ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…infrastructure. You will work alongside our Cloud Platform Engineer on real engineering initiatives and learn how modern environments are designed, deployed, operated, and improved. You…
Added 2 hours ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 3 hours ago
TC
Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 3 hours ago
TC
Java Fullstack Developer
TSR Consulting
Mississauga, ON
- Full-time
We are seeking a Senior Software Engineer - Java - Senior (C13), Full Stack to join our dynamic team. The ideal candidate will have strong experience in Java, Spring Boot, Spring Cloud,…
Added 6 hours ago
P
Growth Engineer Intern
Parameter
Engineer, BC
- Volunteer
2+ years of full-time experience as an engineer, ideally in growth, product engineering, or at an early-stage startup
Added 7 hours ago
T
Staff Software Engineer, ML Infra & Distributed Systems
Tubi
Toronto, ON
- Full-time
As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference…
Added 8 hours ago
CQ
AI Engineer
Canada Quant Labs
Victoria, BC · Greater Victoria Metropolitan Area
- Full-time
The short version - Canada Quant Labs is hiring an AI Engineer to own pieces of our train → quantize → deploy pipeline. You'll ship open-weight checkpoints (like our Hy3, GLM-5.2, and…
Added 8 hours ago
LA
BACKEND ENGINEER
LayerZero Asia
Vancouver, BC
- Full-time
We're seeking a talented Backend Engineer to join our team at LayerZero, where you'll play a pivotal role in revolutionizing blockchain interoperability and shaping the future of…
Added 16 hours ago
I
Software Engineer
Insight
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and experienced Software Engineer to join Insight's Application Development department. This is a department role rather than a position on a single customer…
Added 17 hours ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
Design and deploy full-stack web applications and internal tools using React, Next.js, TypeScript, HTML, and CSS to support smart factory initiatives and manufacturing operations.
Added 17 hours ago
SL
Data Engineer
Sifar Labs
Toronto, ON
- Full-time
Role Description This is a full-time, on-site Data Engineer role based in Toronto, ON. The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to…
Added 17 hours ago
U
Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
We are hiring a Full-Stack Software Engineer to help build the next generation of the platform.

Tubi

Staff Software Engineer, ML Infra & Distributed Systems

Toronto, ON, Canada

$164,600 - $235,100 CAD · Full-time

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Job details

Pay: $164,600 - $235,100 CAD
Job type: Full-time
Apply by: Feb 5, 2027
Posting language: English
Posted: Oct 5, 2026

Original job description

About The Role:

As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

Responsibilities:

Design and build scalable, high throughput, and low latency distributed systems using Scala
Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.

Your Background:

Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
Strong experience with AWS or an equivalent cloud platform
Experience building online microservices at scale with low latency serving
Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
Experience with containerization technologies, such as Docker or Kubernetes
Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
Previous experience with Akka, Erlang, Elixir or Go
Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

$164,600 - $235,100 CAD

Tubi Media Group Is a Division Of Fox Corporation, And The FOX Employee Benefits Summarized Here, Covers The Majority Of Employee Benefits. The Following Distinctions Below Outline The Differences Between The Tubi And FOX Benefits:

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.

For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.

For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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More about this job

Responsibilities

Design and build scalable, high-throughput, low-latency distributed systems and reusable infrastructure for machine learning applications, including inference, feature, and vector stores. Partner with ML, Product, and engineering teams to shape architecture, optimize latency and cost, lead cross-functional initiatives, and mentor engineers.

Requirements

Candidates should have experience building scalable distributed systems and low-latency online services, along with cloud platforms, SQL and NoSQL databases, message brokers, caches, and containerization technologies. The role also calls for leading major incident responses; Scala/JVM experience and familiarity with ML infrastructure, model pipelines, recommendation or search systems, and A/B testing are advantageous.

Skills

Distributed Systems
Scala
Machine Learning Infrastructure
Low-Latency Serving
Microservices
AWS
SQL
NoSQL
Kafka
Redis
Docker
Kubernetes
Incident Management
System Design
A/B Testing
Mentoring

Benefits

Annual Discretionary Bonus
Long-Term Incentive Plan
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Time Off
Paid Parental Leave
Wellness Reimbursement

Visa sponsorship

Not detected in the job text

Keywords

Scala
Java
Python
Go
C++
AWS
Distributed Systems
Machine Learning Infrastructure
Inference Engines
Model Serving
Feature Stores
Vector Stores
Deep Learning
Large Language Models
Search
Personalization
Recommendation Systems
Microservices
PostgreSQL
Cassandra
Kafka
Redis
Docker
Kubernetes
Akka
Erlang
Elixir
Model Training Pipelines
A/B Testing
Incident Management

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