Machine Learning Engineer Remote - US

Join the team as our next 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.About the jobTwilio is experiencing rapid growth and is seeking a Machine Learning Engineer with a strong Data Engineering, Machine Learning 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 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.ResponsibilitiesIn 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, OpenSearch), 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.QualificationsNot 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 : 5 years of data engineering, applied ML & software engineering experienceDevelop and Deploy AI pipelines & models : Build and deploy data pipelines & 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, OpenSearch), MySQL, Airtable, Pinecone 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.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.LocationThis role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.TravelWe 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 OfferThere 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!Apply for this job#J-18808-Ljbffr