Staff - Machine Learning Engineer

See yourself at Twilio

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

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco we have presence throughout South America Europe Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio we support diversity equity & inclusion wherever we do business.

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 & GenAI-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 GenAI use cases and solutions.

Qualifications

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate we encourage applicants with alternative experiences to also 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:

• 6+ years of applied ML experience.

• Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-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 GenAI use cases and solutions

Desired:

• 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 but is not eligible to be hired in San Francisco CA Oakland CA San Jose CA or the surrounding areas.

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!

If this role isn't what you're looking for please consider other open positions .

*Please note this role is open to candidates outside of Colorado California New YorkWashington and Washington D.C. The information below is provided for candidates hired in those locations only.

The estimated pay ranges for this role are as follows:

• Based in Colorado or Washington D.C.: $184000-$230000.

• Based in New York Washington State or California (outside of the San Francisco Bay area): $195000-$240000.

• Based in the San Francisco Bay area California: $217000-$270000.

• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance 401(k) retirement account paid sick time paid personal time off paid parental leave.

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

Applications for this role are intended to be accepted until December 20th 2024 but may change based on business needs.