Machine Learning Software Engineer

Profile

See yourself at Twilio
Join the team as our next
ML Engineer
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 have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support
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 needed to scope, design, and deploy machine learning systems into the real world to ensure that communication across Twilio platforms remains legal, safe and wanted.
As a Machine-Learning Engineer, you thrive at designing large-scale systems, building complex predictive models, performing efficient experimentation and automating processes. You will partner with Architects, Product Managers and Operational Leaders for developing anti-fraud/ anti-abuse systems for our customers.
Responsibilities
In this role, you’ll:
Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
Transform data science prototypes and applying appropriate ML algorithms and tools
Work closely with the Data Scientists, build tools to enhance their productivity and to ship and maintain ML models
Analyze huge datasets to perform EDA and come out with patterns and features to support the problem statement.
Manage the infrastructure and data pipelines needed to bring code to production
Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
Partner with product managers and architects to analyse business problems, clarify requirements and define the scope of the systems needed
Use cloud platforms such as AWS or GCP to handle larger scale data
Support operational leaders by developing code to automate manual processes
Drive high engineering standards on the team through code review, automated testing, and mentoring.
Develop white papers, blogs, reference implementations, labs, and presentations to evangelize Twilio’s design patterns and best practices for Anti-Fraud/ Anti-Abuse 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:
Ph.D./MS/Bachelor’s in Computer Science, statistics, or related field
2 years of applied ML experience in statistical and mathematical modeling such as supervised and unsupervised machine learning, deep learning, and/or reinforcement learning; 3 years and a Master’s degree
Track record of building, shipping and maintaining machine learning systems in a highly ambiguous and fast paced environment.
Exposure to different ML frameworks and exposure to services like Sagemaker, Clarify, Model Monitoring, TensorFlow, MxNet, PyTorch, Sklearn, etc. preferred
Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
Familiarity with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance
Hands on experience with modern data storage, messaging, and processing tools (Kafka, Flink, Spark, Hadoop, Cassandra, etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
Proficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languages such as Scala/Java
Desired:
Experience developing products on AWS or Google Cloud Services.
Experience in configuration management for deploying, configuring, and managing servers and systems.
Location
This role will be
remote, and based in the USA. No travel is required.
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 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
(Location dependent information)
*Please note this role is open to candidates outside of Colorado as well. The information below is provided for those hired in Colorado only.
*If you are a Colorado applicant:
The estimated pay range for this role, based in Colorado, is
$109,280.00 - $150,260.
Non-Sales: 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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