Staff Machine Learning Enginee · Bengaluru
Twilio · Twilio
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Designation Offered
Staff Machine Learning Enginee
Job Role
Machine Learning Engineer
Department
Manufacturing and Engineering
Job Type
Fulltime
Salary
30.00Lacs
Experience
6–10 years
Job Location
Bengaluru
Education
Bachelor's Degree
Posted by
Twilio
Posted On
1 May 2026
Valid until
30 Jun 2026
Skillset required
Job Description for Staff Machine Learning Enginee
A role-focused description with responsibilities, expectations, and qualifications for this opening.
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.
About the job
Join the team as Twilio’s next Staff Machine Learning Engineer. This position is needed to scope, design, and deploy machine learning systems into the real world.
- Partner with Product & Engineering teams to execute the roadmap for AI/ML products.
- Build data products that work at a global scale.
- Own end-to-end execution of large scale ML solutions.
- Understand customer needs and translate them into technical requirements.
- Develop and optimize machine learning models.
- Collaborate on data engineering efforts.
- Conduct experiments and analyze results.
- Mentor junior ML engineers.
- Stay updated on ML research and trends.
- Contribute to open-source projects.
About this opening
Twilio is hiring a Machine Learning Engineer in the Manufacturing and Engineering team based in Bengaluru.
This role is fulltime, flexible, 6–10 years experience, ₹20 lakh–₹30 lakh per year—matched against UnoJobs' verified employer data.
Skills evaluated for this opening include Machine Learning, Deep Learning, AI/ML. Apply directly through UnoJobs to keep your application visible to Twilio without bouncing across multiple sites.
- Role
- Machine Learning Engineer
- Department
- Manufacturing and Engineering
- Location
- Bengaluru
- Work mode
- Flexible
- Experience
- 6–10 years
- Compensation
- ₹20 lakh–₹30 lakh per year
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