Twilio

Staff Machine Learning Engineer (L4)

Work from home

Remote role where the employee must remain based in a particular country.

Listed for India

From the employer's advert: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.

Employer listed it 4 days ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Listed for India

Timezone

APAC

Contract

Full-time

Experience

Lead

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in India. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Remote - India"
Job description states: "based in India"

What Nomaders makes of it

Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

“Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.”

Questions worth asking: Nomaders interpretation

No pay is stated. Ask for the salary range before investing time in interviews.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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. .

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 our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team.

About the job

In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.

This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised.

Responsibilities

In this role, you’ll:

Build out new functionality within a fast moving product seeing rapid adoption.

Take a nebulous idea, design a rigorous experiment, and execute it within weeks.

Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.

Build ML systems that hold up at Twilio scale.

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.

Requirements

·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

Benefits

·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.
·Twilio thinks big. Do you?
·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

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Twilio, mentioning your remote working experience and working hours (APAC).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 19d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.