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Added 3 days ago
GT
Director of Engineering
GNO-SYS Technology
Calgary, AB
- Full-time
Professional Engineer (P.Eng.) designation in good standing with APEGA, or eligibility to register with APEGA in Alberta.
Added 3 days ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Automate identity lifecycle with Okta Workflows, Okta APIs, and Python or PowerShell.
Added 3 days ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Strong Python programming with PowerShell/Bash experience.
Added 3 days ago
Senior Okta Engineer (IAM)
Charger Logistics Inc
Brampton, ON
Automate identity lifecycle with Okta Workflows, Okta APIs, and Python or PowerShell.
Added 3 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
Mid-to-senior engineer with strong backend and data fundamentals
Added 3 days ago
AS
Full Stack Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Added 3 days ago
AS
GenAI Prompt Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Collaborate with different clients/SMEs to understand business requirements for prompt engineering and Python code development.
Added 3 days ago
Staff Machine Learning Engineer
Twilio
ON
…that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re…
Added 3 days ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
We are seeking a multi-cloud platform engineer with experience in Google Cloud to work across our engineering teams and business partners. The ideal candidate will have previous public…
Added 3 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON · FCP
- Full-time
Experience with programming languages (e.g. SQL, Python, PySpark) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
Added 3 days ago
ZS
Artificial Intelligence Engineer
Zodiac Solutions, Inc
Halifax, NS
- Full-time
…every teams development workflow runs on.If youre the kind of engineer who has already wired tools like Claude Code into your own workflow with custom skills and MCP servers to make…
Added 3 days ago
PR
Sr Lead-IT Infrastructure Ops (Associate Manager)
Peel Regional Police
Brampton, ON
- $165,396 to $179,322 CAD / year
- Full-time
Are you an ambitious and highly motivated leader with experience in day-to-day operational delivery of all on-premises and cloud infrastructure services? Are you looking to make the next…
Added 3 days ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 3 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 3 days ago
T
Software Engineer 2
ThunderSoft
Markham, ON
- $55 to $60 CAD / hour
- Contract
The main function of a Software Engineer is to design, develop, implement, test, and maintain business and computer applications software or specialized utility programs including mainframe…
Added 3 days ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Halifax, NS
- Contract
We are looking for an experienced AI Platform Engineer to design, build, and maintain scalable infrastructure and platforms that support AI/ML workloads, Generative AI applications, and…
Added 3 days ago
AI
Generative AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Collaborate with product, data science, and business teams to deliver AI solutions.
Added 3 days ago
TI
Quality Engineer
Tekgence Inc
Brampton, ON
- Contract
Job Description: Title Quality Engineer (QE) SDET AI Chatbot Validation Key Roles Responsibilities Validate chatbot responses for accuracy| relevance| completeness| and consistency. Create…
Added 3 days ago
C
Senior AI Engineer
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an AI Engineer who has shipped ML and LLM systems, built quality and observability tooling around them in production, and is ready to go deeper on that problem at scale.…
Added 3 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
Strong Python, with experience building and operating production services (REST APIs, microservices, containers).
Added 3 days ago
ZS
Artificial Intelligence Engineer
Zodiac Solutions, Inc
Halifax, NS
- Full-time
…every teams development workflow runs on.If youre the kind of engineer who has already wired tools like Claude Code into your own workflow with custom skills and MCP servers to make…
Added 3 days ago
RC
Quality Engineer (QE) / SDET – AI Chatbot Validation
Realtek Consulting LLC
Toronto, ON
- Contract
We are looking for an experienced Quality Engineer / SDET with strong test automation skills and hands-on experience validating AI-powered chatbots, LLMs, Generative AI applications, or…
Added 3 days ago
C
Engineer (Python/AWS + Azure/React) (Senior/NewGrad)
Caddie
Toronto, ON
- Full-time
…environment, and, for the most restricted sites, a machine with no internet access. You own the product from the server to the…
Added 4 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 4 days ago
AT
AI Engineer
Altitude Technology Solutions Inc
Toronto, ON
- Contract
My name is Kundan Mishra. I am a Technical Recruiter with Altitude Technology Solutions (ATS) INC.

Twilio

Staff Machine Learning Engineer

ON, Canada

$160,320 - $200,400

Apply About employer

Applications open in a new tab.

Job details

Pay: $160,320 - $200,400
Experience: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Posting language: English
Posted: Oct 23, 2026

Original job description

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. .

See yourself at Twilio

Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.

About the job

We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality.

You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software.

Responsibilities

In this role, you’ll:

Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.
Identify opportunities to leverage small language via fine-tuning/distillation.
Build ML systems that hold up at Twilio scale.
Set standards and tooling for building evals across a range of AI/ML capabilities.
Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
Proficiency in Python programming language.
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
Strong communication skills and highly effective collaborator who works well with teammates.
Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.).

Desired:

Prior experience building evals for autonomous agents and large language models.
Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
Prior experience working in a globally distributed team.
Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research.

Location

This role will be remote and based in Ontario, British Columbia or Alberta, Canada.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

$160,320 - $200,400
Target Bonus Percentage 12.5%

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Apply About employer

More about this job

Responsibilities

You will build foundational AI/ML platform tooling and influence the design of company-wide ML/AI Ops to ensure high-quality, scalable intelligent engagement experiences. The role involves conducting research into LLM inference, implementing orchestration, and setting standards for evaluation across various AI/ML capabilities.

Requirements

Candidates must have 8+ years of applied ML/AI experience with a track record of owning ambitious systems end-to-end. Proficiency in Python, experience with cloud-based services, and deep knowledge of statistical machine learning and LLMs are required.

Skills

Machine Learning
Artificial Intelligence
Python
LLM Ops
ML Ops
AWS
GCP
Azure
Transformer models
Statistical machine learning
Cloud-based services
Data engineering
System architecture
Technical leadership
Evaluation metrics

Benefits

Competitive pay
Generous time off
Parental leave
Wellness leave
Healthcare
Retirement savings program
Incentive programs
Commissions
Equity grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
LLM
ML Ops
LLM Ops
Python
AWS
GCP
Azure
Transformer models
Cloud computing
Data engineering
Inference
Orchestration
Fine-tuning
Distillation
Autonomous agents
System architecture
Scalability
Evaluation metrics
Technical leadership
Software engineering
Communication
Collaboration
Remote-first
Twilio Magic
GitHub Copilot
Claude
Codex
Cursor

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