Senior Machine Learning Engineering Manager Predictions Platform

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Senior Machine Learning Engineering Manager, Predictions Platform
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help
companies and developers worldwide
build better applications and customer experiences.
Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports
diversity, equity & inclusion
wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is
responsible for leading and growing a team of talented machine learning engineers in Twilio Engage’s Predictions team.
We are looking for an outstanding Senior Engineering Manager to join, build, and lead the newly-formed Machine Learning Platform team, which is at the core of Twilio Engage’s ML strategy.
In this role you will lead a team of ML engineers to partner with Product, Analytics, and Engineering teams to build products that enable marketers to make smart decisions about their campaigns and deliver personalized customer experiences. This role is highly strategic and is uniquely positioned to drive multiplier impacts for Twilio Engage as we continue to innovate and expand our core products. At the same time, you will get to lead an amazing team of talented ML engineers to shape the future of our business.
Twilio Engage is the brand new growth automation platform, built natively on Segment as the customer data platform (CDP) and natively on Twilio’s communications APIs. Our vision is a unified platform that intelligently delivers the most relevant content to marketers through the best channel at every point in their lifecycle. Imagine a platform that can take the hundreds of thousands of messages entering Segment’s pipelines every second, add in a new identity graph, and overlay multiple high speed, realtime and batch databases — and you have the Personas platform. We’ve since built several successful products on top of the Personas platform: Segment Audiences for real time audience management, Segment Traits for computation, and Profile API for real time personalization.
We are now adding intelligence to the customer engagement by leveraging the data across multiple channels and harnessing the power of machine-learning. We are personalizing customer engagement by transforming raw customer data across all channels into actionable, individualized, machine-learning based customer predictions that marketers can leverage in any workflow or process.
Responsibilities
In this role, you’ll:
Lead our ML team to build, evaluate, deploy and iterate on large scale Machine Learning systems.
Build production grade propensity models to drive personalization strategies for Twilio Engage, utilizing advanced statistical modeling, machine learning, or data mining techniques as appropriate
Set the technical vision for your team and be accountable for team plans and deliverables
Grow and develop an incredible team of hardworking and motivated ML engineers with high expectations around individual ownership and impact
Ensure your team delivers extraordinary output, and continuously seeks ways to make an outsized impact
Work with large scale Data Systems and ML infrastructure
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:
BS, MS, or PhD in CS, Mathematics, Statistics, or other quantitative fields or related work experience
4 years of hands-on experience building production grade Machine Learning or AI systems
3 years of engineering management experience
ML domain knowledge to define and execute technical strategy
Strong industry experience working with large scale data
Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
Desired:
A strong track record of recruiting, leading and growing technical teams
Solid engineering fundamentals; machine learning infrastructure experience is preferred
Prior experience working on a wide-variety of optimization, and classification problems, e.g. segmentation, propensity modeling, classification, click-through rate prediction, collaborative filtering/recommendation, and/or spam detection
Excellent verbal and written communication skills
Location
This role will be based in our
San Francisco office or remote
No travel is required for this role.
What We Offer
There 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 ****,280
Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

Company info

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