Staff, Machine Learning Engineer (L4)
Twilio
Remote - IndiaremotePosted 1 month ago
Skill Required
EngineeringMachine Learning EngineerMachine LearningDeep LearningTensorFlowObservabilitydesigningDynamoDBbuildingPyTorchetc.)TestNGPythonHadoopdesignSparkKafkaAgileAWSAI
Key highlights
- Required experience: 7+ years of applied ML experience with proficiency in Python
- Role: Staff Machine Learning Engineer, remote, based in India
- Nice-to-have: Experience with Large Language Models
- Benefits include competitive pay, generous time off, ample parental and wellness leave, healthcare, and a retirement savings program
Role overview
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, understand customer 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, the candidate must have a deep background in ML engineering and a consistent track record of solving data and machine-learning problems at scale; the ideal person is a self-starter who embodies a growth attitude and collaborates effectively across organizations.
Responsibilities
- Build and maintain scalable machine learning solutions in production
- Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
- Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
- Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
- Work closely with data platform teams to build robust scalable batch and realtime data pipelines
- Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models
- Drive high engineering standards on the team through mentoring and knowledge sharing
- Uphold engineering best practices around code reviews, automated testing and monitoring
Requirements
- 7+ years of applied ML experience with proficiency in Python
- Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning
- Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment
- Track record of designing and architecting large scale experiments and analysis to inform product roadmap
- Clear understanding of frameworks like PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do
- Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring
- Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains
- Experience exploring 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
- Experience working in an agile team environment with changing priorities
- Experience of working on AWS
Nice to have
- Experience with Large Language Models
Benefits
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- A retirement savings program
- Offerings vary by location
Additional details
- Twilio is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences
- Twilio has a remote-first work culture with a strong culture of connection and global inclusion, meaning no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day
- Twilio uses Artificial Intelligence (AI) to help make the hiring process efficient; every hiring decision is made by real Twilions
- While Twilio is a remote-first company, employees may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings
- This role will be remote, and based in India
- Travel: may be required to travel occasionally to participate in project or team in-person meetings
- Twilio values diverse experiences from all kinds of industries and encourages everyone who meets the required qualifications to apply, including those whose career is just starting or hasn't followed a traditional path
- Twilio thinks big and seeks out colleagues who embody Twilio Magic values; employees are empowered to build positive change in their communities by supporting volunteering and donation efforts
- Stay alert to recruitment fraud: Twilio will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process; Twilio does not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps
- Twilio is an equal opportunity employer and does 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
- Twilio considers 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
- Twilio participates in the E-Verify program in certain locations, as required by law
- The title for this role is Staff Machine Learning Engineer