Joblaze summary

In the role of Staff Machine Learning Engineer at Twilio, the individual will focus on developing foundational AI/ML capabilities and tools that enhance customer engagement experiences. Key skills include extensive experience with machine learning systems, proficiency in Python, and familiarity with cloud services like AWS or GCP. This position is ideal for seasoned professionals with a strong background in ML Ops and a proven ability to manage complex systems from inception to execution. Twilio's remote-first culture fosters collaboration among a diverse team, emphasizing innovation in communication technology.

Joblaze insights

Listed today — first seen on Joblaze October 25, 2026. Last confirmed on Twilio's careers page October 25, 2026.
Salary band is below the typical range for AI/ML roles (median ~$190,000).
Starts above 8% of 245 comparable staff ai/ml roles we track (median $228,600 across 62 companies).

Quick facts

Is the Staff Machine Learning Engineer role remote?: Yes — Twilio lists this as a fully remote position.
What's the salary range?: Twilio lists $160,320–$200,400 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff Machine Learning Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, GCP, LLM Ops, ML Ops, Python.
What seniority level is this role?: Twilio targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Machine Learning Engineer role at Twilio.

From the original posting

Who we are

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

*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

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.

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

Twilio thinks big. Do you?

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Standard company text repeated across Twilio's postings is omitted here.

Staff Machine Learning Engineer

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