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Principal Machine Learning & Data Engineer Remote - US
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Principal Machine Learning & Data Engineer Remote - US
- San Francisco, California, United States
- San Francisco, California, United States
À propos
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) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
See yourself at Twilio Join the team as Twilio’s next L5 Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML‑and‑data platform that powers every customer interaction. You will architect cloud‑native pipelines, model‑serving infrastructure, and developer tooling that allow Twilio’s product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.
About the job Twilio’s next L5 Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML‑and‑data platform that powers every customer interaction. You will architect cloud‑native pipelines, model‑serving infrastructure, and developer tooling that allow Twilio’s product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.
Responsibilities
Architect and evolve Twilio’s end‑to‑end ML and real‑time data platforms for reliability, security, and cost efficiency.
Design scalable feature stores, streaming and batch pipelines, and low‑latency model‑serving layers on AWS.
Implement MLOps best practices—automated testing, CI/CD, monitoring, and rollback—for hundreds of daily deployments.
Own system design reviews, threat modeling, and performance tuning for high‑volume communications workloads.
Lead cross‑functional engineering efforts, breaking down complex initiatives into executable roadmaps.
Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming.
Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR).
Champion a culture of experimentation, data‑driven decision‑making, and continuous improvement.
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!
Bachelor’s or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience.
7+ years building and operating production data or machine‑learning systems at scale.
Expert fluency in Python and one compiled language (Java, Scala, Go, or C++).
Hands‑on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis).
Demonstrated success designing cloud‑native architectures on AWS, including Terraform‑managed infrastructure.
Deep knowledge of container orchestration (Kubernetes/EKS), service‑mesh networking, and autoscaling strategies.
Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI.
Strong grasp of model‑lifecycle concerns—feature engineering, offline/online parity, A/B testing, drift detection, and retraining.
Proven ability to lead technical projects end‑to‑end and influence without authority across multiple teams.
Exceptional written and verbal communication skills, with a bias toward clarity and action.
Graduate degree focused on machine learning, distributed systems, or applied statistics.
Contributions to open‑source ML or data infrastructure projects.
Experience with privacy‑enhancing technologies (differential privacy, homomorphic encryption) or on‑device inference.
Background in conversational AI, real‑time communications, or large‑language‑model deployment at scale.
Exposure to compliance‑heavy environments (HIPAA, PCI‑DSS) and secure multi‑tenant design patterns.
Published research, patents, or conference talks in ML systems or data engineering.
Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in‑person meetings.
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.
Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $184,500 - $230,700.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $195,300 - $244,200.
Based in the San Francisco Bay area, California: $217,000 - $271,300.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally 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.
Applications for this role are intended to be accepted until May 21st 2026, but may change based on business needs.
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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Compétences linguistiques
- English
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