Machine Learning Engineer (L3) job opportunity at Twilio Inc..

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Twilio Inc. Machine Learning Engineer (L3)
Experience: 4-years
Pattern: Remote
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Engineering

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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 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.We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals.See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer (L3) on Twilio’s Customer Memory team About the job This position is needed to leverage Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI. You will be responsible for building 0-to-1 platform features that empower developers to create sophisticated, context-aware AI agents. This role requires a builder and curious mindset, someone who can bridge the gap between theoretical research and production-grade experimentation. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and long-term data persistence for AI agents, ensuring every interaction feels seamless and personalized.  Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption.  Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. 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: 4+ years applied ML or AI experience. Proficiency in Python programming language. Proven ability to move from a research hypothesis to a working MVP in days to validate ideas quickly. Strong understanding of embedding models and vector stores.  Experience and understanding of ML Ops and LLM Ops concepts and patterns.  Ability to design and implement rigorous evaluation metrics to measure the success of non-deterministic AI features. Experience in building cloud-based services using AWS, GCP, or Azure. Experience working with high-volume data and familiarity with different data stores.  Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Experience in systematically optimizing LLM prompts or fine-tuning models.  Experience designing scalable microservices that integrate LLMs into production environments, ideally within a cloud-native ecosystem.  Location This role will be remote, and based in India(Karnataka, Maharashtra, New Delhi, Tamilnadu, Telangana) Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately <XX%> travel is anticipated to help you connect in-person in a meaningful way.  What We Offer Working at Twilio offers many benefits, including 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! If this role isn't what you're looking for, please consider other open positions. 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.

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