Staff, Machine Learning EngineerNew

Twilio; Ontario; Remote; CAD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a Staff Machine Learning Engineer to join their Efficiency Engineering team. In this remote role, you will leverage your expertise in machine learning and data science to develop cutting-edge AI solutions that enhance customer experiences. You'll collaborate with talented professionals and work on groundbreaking projects that directly impact the efficiency and success of clients. This position offers the chance to make a significant contribution to the future of AI while enjoying a supportive environment that values diversity and inclusion. If you're passionate about technology and eager to innovate, this opportunity is perfect for you.

Benefits

Generous time-off

Parental leave

Wellness leave

Healthcare benefits

Retirement savings program

Volunteering and donation support

Qualifications

• Strong background in machine learning and predictive modeling.
• Experience with large language models and AI applications.
• Research experience with publications in peer-reviewed venues.

Responsibilities

• Develop and deploy machine learning models for diverse customer needs.
• Collaborate with cross-functional teams to refine ML models.
• Utilize advanced technical stack for robust AI solutions.

Skills

Machine Learning Engineering

Natural Language Processing (NLP)

Data Science

Predictive Modeling

Collaboration

Research and Writing

Education

Bachelor's Degree in Computer Science or related field

5+ years of experience in ML engineering

Tools

Python

SQL

AWS (SageMaker, Lambda, S3, Kendra)

MySQL

Pandas

NumPy

SciKit-Learn

XGBoost

Matplotlib

Keras

Job description

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.

See yourself at Twilio

Join the team as our next Staff Machine Learning Engineer on Twilio’s Efficiency Engineering team.

About the job

Twilio is experiencing rapid growth and is seeking a Staff Machine Learning Engineer with a strong Data Science, Machine Learning & Predictive Modeling background to expand and enhance our Efficiency Engineering team's AI function. This team is responsible for developing cutting edge solutions leveraging AI & Data Science for external and internal customers.

As a Staff Machine Learning Engineer within Efficiency Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications. Your solutions will cater to the dynamic needs of Twilio’s diverse verticals and our extensive customer base. This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency.

As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers. You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are. Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel.

Responsibilities

In this role, you’ll:

• Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
• Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
• Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (SageMaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
• Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
• Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

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:

• 5+ years of applied ML engineering experience
• Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama etc.), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering.
• Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc.
• Research background & experience writing papers for top-tier peer-reviewed conferences or journals.

Location

This role will be remote based in Canada, but is only eligible to be hired in the provinces of Ontario, Alberta and British Columbia.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like 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?

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!

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.

Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [e-mail].