Job Closed
This listing is no longer active.
Twilio is a Platform-as-a-Service (PaaS) company established in 2007. In support of a flexible workplace, Twilio has previously posted freelance, flexible schedule, part-time, hybr
Staff Machine Learning Engineer – L4
Location
India
Posted
142 days ago
Salary
0
Seniority
Lead
Job Description
Staff Machine Learning Engineer – L4
Twilio
• 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
Job 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.
- You have a 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.
- 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
- Experience working in an agile team environment with changing priorities
- Experience of working on AWS
Benefits
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
- And much more.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• looking for a year-round intern (summer intern is also acceptable) • work on projects developing learning-based analytics • cyber-attack-resilient control strategies and optimizations for power distribution systems • conducting literature review • identifying gaps and summarizing new research opportunities • conduct research work independently • collaborate with project PI and other researchers from the project team
Staff Machine Learning Engineer, Ads
QuoraQuora is the place to share knowledge and better understand the world.
• Improve our existing machine learning systems using your core coding skills and ML knowledge • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems • Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics • Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment • Work with product and business teams on new innovative features for ad targeting and bidding to optimize advertisement performance • Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers
• Design and implement machine learning models to power highly personalized experiences throughout the Raya app • Work in a high-impact environment with rapid development and product iteration • Contribute to core ML platform components for scalable model training, deployment, and productionization • Collaborate closely with cross functional stakeholders in data science, product management, and other engineering teams to shape roadmaps and initiatives • Stay up-to-date with the latest research and advancements in recommendation systems and AI
Member of Technical Staff – Machine Learning Engineer
RunwayNext-generation content creation with artificial intelligence
• Develop innovative research projects in computer vision, focusing on generative models for image and video. • Work with a world-class engineering team pushing the boundaries of content creation on the browser. • Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.
