Machine Learning Engineer

See yourself at Twilio

Join the team as Twilio’s next Machine Learning Engineer (L3) on the Data Services and Throughput team.

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 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 job

This position is needed to to drive the innovation and creation of cutting-edge products that serve the needs of developers, builders, and operators. You will be a crucial bridge between Product and Design, tasked with developing, evaluating and maintaining scalable Machine Learning models within low-latency for real-time applications. Your collaboration and expertise will be fundamental in delivering robust solutions that power our users' success. You will be closely working with a cross-functional team of engineers, architects, product, UI/UX and partners to develop ML and data driven algorithm aspects of customer facing products in Twilio Communication applications.

Twilio Communications is the leading software for sending messages programmatically. The Data Services and Throughput organization builds AI-enabled capabilities that separate Twilio from its competitors in messaging capabilities.

Responsibilities

In this role, you’ll:

Build and maintain scalable, high quality machine learning solutions in production
Design and implement tools and procedures to evaluate performance and accuracy of models and data.
Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models
Demonstrate end-to-end understanding of applications and “why” behind models & systems and develop high quality ML-based software at scale
Truly own the product you work on. Be responsible for SLA, on call, incident resolution, customer feedback, and participate in blameless post-mortems to make our products better.
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems and leverage state-of-the-art Statistics, Machine Learning, Deep Learning and Gen AI to address the business problems.
Drive high engineering standards on the team through code review, automated testing, and mentoring.
Collaborate and brainstorm product ideas with product managers, designers, and engineers.

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:

3+ years of applied ML experience
Strong background in the foundations of machine learning and building blocks of modern deep learning.
Proficiency in Python or Java and familiarity with design patterns.
Track record of building, shipping and maintaining machine learning models in production.
Extensive experience in technologies such as PyTorch, Tensorflow, Scikit-learn, Spacy, NLTK, application frameworks (e.g., Flask)
Deep understanding of ML model implementation cycle (e.g., feature engineering, training/serving, A/B test, model selection, etc.), algorithms (e.g., xgboost, time series models, deep learning, graph neural networks, optimization) and domains (e.g., forecasting, personalization and recommendation system, NLP, embedding representation)
Familiarity with MLOps concepts related and maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.
Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains.
Good written and verbal communication skills - You are confident in writing down and presenting your designs and decisions throughout the development lifecycle. You are also comfortable providing and receiving feedback in an Agile environment.

Desired:

Experience in recommendation systems, forecasting models, NLP techniques, embedding representation approaches and statistical models
Experience with Retrieval Augmented Generation, Large Language Models and prompt engineering
Knowledge of Java and system design concepts
Understanding of Experience with CI/CD pipelines and automated deployment processes.
Experience with either AWS, Azure, or Google Cloud and technologies such as Spark, Kafka, Kubeflow, GPU.

Location

This role will be and based in the U.S. but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.

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

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.

*Please note this role is open to candidates outside of Colorado, California, New York, and Washington. The information below is provided for candidates hired in those locations only.

The estimated pay ranges for this role are as follows:

Based in Colorado: $135,00 - $169,000.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are 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 within the state.

Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action 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. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected].

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