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Added 12 mins 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 12 mins 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 13 mins ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…Master’s students who want hands-on experience across cloud infrastructure, DevOps, platform engineering, automation, containers, and AI infrastructure. You will work alongside our Cloud…
Added 13 mins ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 42 mins 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
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 4 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 14 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 15 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.
Added 17 hours ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- Full-time
Own the growth tech stack. Own and improve the platforms and infrastructure powering acquisition, attribution, lifecycle marketing, analytics, and experimentation.
Added 17 hours ago
S
Software Engineer
Spellbook
Canada
- Full-time
Building and maintaining application infrastructure in Amazon Web Services (AWS) with AWS Cloud Development Kit (CDK).
Added 17 hours ago
S
Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
Spellbook is seeking a generalist Platform and Infrastructure Engineer to join our team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB,…
Added 19 hours ago
M
Senior Product Engineer
Mecka
Richmond Hill, ON
- $180,000 to $250,000 USD / year
- Full-time
This is a true senior, high-agency role for someone who is full-stack, design-oriented, and data-driven - with strong startup/founder-type instincts. You will work directly with internal…
Added 19 hours ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- $180,000 to $230,000 USD / year
- Full-time
Own the growth tech stack. Own and improve the platforms and infrastructure powering acquisition, attribution, lifecycle marketing, analytics, and experimentation.
Added 20 hours ago
Software Development Engineer II, Umbrella Training
Amazon
Toronto, ON
Unlike traditional software engineering positions, you'll tackle full-stack complexity at an exceptional scale, working across 40 serverless pipelines, three distinct training modalities,…
Added 21 hours ago
Senior Backend Product Developer, SCM Tech Fulfillment
HelloFresh
Toronto, ON
…preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack…
Added 1 day ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 day ago
TC
GCP Infrastructure & Cloud SRE 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 1 day ago
DevOps Developer, AI Automation
Stay22
Montreal, QC
We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform,…
Added 1 day ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 day ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 day ago
K
Founding CTO
Kouvre
Montreal, QC
- Full-time
…will architect and build the agent, the integrations, and the infrastructure largely with your own hands while we raise and grow the team around you. You are not inheriting a stack or a…
Added 1 day ago
Software Developer III, Ads Infrastructure
Google
Waterloo, ON
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 day ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Build full-stack application components in TypeScript and Node.js, including React and Next.js or equivalent, as well as Python, backed by relational databases with row-level security,…
Added 1 day ago
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…

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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