Staff Machine Learning Engineer

February 27

Apply Now
Logo of Twilio

Twilio

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

telecommunications • API • cloud communications • SaaS • telephony

5001 - 10000 employees

📋 Description

• Join the team as our next Staff Machine Learning Engineer on Twilio’s Efficiency Engineering team. • responsible for developing cutting edge solutions leveraging AI & Data Science • develop supervised machine learning models and GenAI/LLM-powered applications • work on groundbreaking projects that directly impact the efficiency and success of customers • collaborate with talented professionals passionate about AI and Machine Learning

🎯 Requirements

• 5+ years of applied ML engineering experience • develop and deploy AI models leveraging NLP techniques and GenAI-powered applications • collaborate across teams to implement machine learning, statistical, and forecasting models • utilize technical stack including Python, SQL, R, AWS, MySQL, libraries such as Pandas, NumPy • integrate enterprise data sources like Salesforce and Zendesk • apply knowledge of LLMs to develop innovative GenAI use cases

🏖️ Benefits

• generous time-off • ample parental and wellness leave • healthcare • a retirement savings program • much more.

Apply Now

Discover 100,000+ Remote Jobs!

Join now to unlock all job opportunities.

Find your dream remote job

Discover hidden jobs

We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.

Head start against the competition

We find jobs within 24 hours of being posted, so you can apply before everyone else.

Be the first to know

Daily emails with new job openings straight to your inbox.

Choose your membership

Cancel anytime

Loved by 10,000+ remote workers

Wall of Love

Frequently asked questions

We use powerful scraping tech to scan the internet for thousands of remote jobs daily. It operates 24/7 and costs us to operate, so we charge for access to keep the site running.

Of course! You can cancel your subscription at any time with no hidden fees or penalties. Once canceled, you’ll still have access until the end of your current billing period.

Other job boards only have jobs from companies that pay to post. This means that you miss out on jobs from companies that don't want to pay. On the other hand, Remote Rocketship scrapes the internet for jobs and doesn't accept payments from companies. This means we have thousands more jobs!

New jobs are constantly being posted. We check each company website every day to ensure we have the most up-to-date job listings.

Yes! We’re always looking to expand our listings and appreciate any suggestions from our community. Just send an email to Lior@remoterocketship.com. I read every request.

Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.

Why I created Remote Rocketship

Choose your membership

Cancel anytime

Loved by 10,000+ remote workers
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or lior@remoterocketship.com