Principal Machine Learning Engineer

Join the team as our next Principal Machine Learning Engineer on Twilio's Efficiency Engineering team. 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. The Principal Machine Learning Engineer function within Efficiency Engineering is at the forefront of innovation at Twilio, providing cutting-edge solutions that leverage Generative AI and Supervised Machine Learning models. Our goal is to solve complex problems and empower our customers to be more efficient and effective in their operations. Joining this team means being part of a nimble, passionate, and high-performing group dedicated to scaling AI within the Services business at Twilio. About the job Twilio is experiencing rapid growth and is seeking a Principal 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 Principal 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 will: Develop and Deploy Predictive Models: Build and deploy machine learning models, including propensity models 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. 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: Proven experience (typically 6+ years) in data science, with a strong emphasis on developing and deploying LLMs and supervised ML models. Proficiency in programming languages such as Python, or R, and experience with data science frameworks like SciKit-Learn, XGBoost, Keras etc. Strong understanding of data processing and transformation techniques, including experience with SQL and big data technologies (e.g., Spark, Hadoop). Demonstrated ability to develop, train, and deploy ML models and Python apps in production environments. Experience with cloud platforms (AWS Sagemaker for ML Models) and familiarity with containerization tools like Docker and Kubernetes. Excellent problem-solving skills, with the ability to translate complex business requirements into actionable AI/ML engineering solutions. Strong communication skills, capable of articulating complex concepts to both technical and non-technical stakeholders. Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering. Experience with Python-specific frameworks such as Streamlit, Gradio, FastHTML. Location This role will be remote and based in Colombia. 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 things like 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? 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. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action 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. 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