Staff Machine Learning Engineer
Remote - US
See yourself at Twilio
Join the team as our next Staff Machine Learning Engineer on Twilio’s Efficiency Engineering team.
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, diverse team 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.
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, …
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California New York Not eligible to be hired in San Francisco Not eligible to be hired in San Francisco, CA Not eligible to be hired in San Francisco, CA, Oakland, CA Not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose Not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas Oakland, CA OR San Jose, CA Surrounding areas Washington Washington State
Benefits/PerksCareer growth opportunities Competitive pay Diverse Team Diverse team culture Global impact Healthcare Offerings vary by location Parental and wellness leave Parental leave Remote-first work Remote work Retirement savings Retirement savings program Wellness leave
Tasks- Build relationships
- Collaborate across teams
- Develop and deploy ai/ml models
- Harness the power of llms
- Integrate enterprise data sources
- Utilize advanced technical stack
AI AI models Air table Airtable Analytics AWS Aws sage maker AWS SageMaker Benefits Business C Claude Communications Data Science Engineering Excel Forecasting Gemini Gen AI GenAI Groq Healthcare Innovation Innovative solutions Kendra Keras Lambda Large Language Models Llama LLMs Machine Learning Matplotlib ML MySQL NLP Numpy Pandas Predictive Modeling Python R Recommendation systems Research S3 Salesforce Scikit-learn SQL Twilio Whisper Writing XGBoost Zendesk
Experience5 years
EducationBusiness Communications Data Science Engineering Systems
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9