Machine Learning Engineer (L2)

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.

See yourself at Twilio

Join the team as our next Machine Learning Engineer.

About the job

This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.

You will understand customers' needs, build data products that work at a global scale and own end-to-end execution of large scale ML solutions. 

To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations.

Responsibilities

In this role, you’ll:

• Build algorithms based on statistical modeling procedures and maintain scalable machine learning solutions in production
• Transform data science prototypes and applying appropriate ML algorithms and tools
• Work closely with the ML Engineers, build tools to enhance their productivity and to ship and maintain ML models
• Conduct exploratory data analysis (EDA) on large-scale datasets to identify patterns and extract features that directly 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 analyze business problems, clarify requirements and define the scope of the systems needed
• Use cloud platform AWS 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.

Qualifications 

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:

• 2 - 5 years of applied ML experience in statistical and mathematical modeling such as supervised and unsupervised machine learning, deep learning
• Strong proficiency in Python to effectively analyze data and solve complex technical challenges.
• Track record of building, shipping and maintaining machine learning systems in a highly ambiguous and fast paced environment.
• You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do.
• Familiarity with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance
• You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar.

Desired:

• Experience with Large Language Models

Location

This role will be remote, and based in India <Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi>.

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.

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.