About Us:
Join us in building the future of work! We're creating an AI-powered marketplace that connects enterprises with a global network of skilled knowledge workers. Our platform leverages cutting-edge AI to ensure seamless task execution, predict demand, and create win-win scenarios for everyone involved. If you're passionate about AI and its potential to transform industries, this is the place for you.
The Opportunity:
As a Senior Machine Learning Engineer, you'll be at the heart of our AI innovation. You'll architect and deploy sophisticated ML models that drive our marketplace, empowering millions of knowledge workers and transforming how businesses operate. This is a high-impact role where your work will directly shape the future of our platform and the global knowledge economy.
Want more jobs like this?
Get Data and Analytics jobs delivered to your inbox every week.
Location: Hyderabad/Bangalore, India (Full-Time)
What You'll Do:
- Develop and Deploy Advanced ML Models: Create innovative models for predictive analysis, skill matching, risk mitigation, and AI-assisted task execution.
- Build Intelligent Systems: Design and implement real-time guidance systems for knowledge workers, enhancing efficiency and accuracy.
- Optimize for Scale: Work with data engineering to build scalable data pipelines and ensure robust, high-performance model deployments.
- Drive Innovation: Explore and implement emerging AI paradigms like generative models, reinforcement learning, and advancements toward AGI.
- Improve Model Performance: Conduct A/B testing, MAB, and hyperparameter tuning to continuously enhance model accuracy and efficiency.
- Collaborate Cross-Functionally: Partner with product and design teams to align AI solutions with business objectives.
- Monitor and Maintain: Oversee production model performance, address data drift, and iterate for continuous improvement.
What You Bring:
- Deep ML Expertise: 5+ years of experience in machine learning and data science, with a proven track record of deploying models at scale.
- Technical Mastery: Proficiency in Python, advanced ML frameworks, algorithms, and data structures.
- Cloud Experience: Expertise in deploying models on cloud platforms.
- Specialized Skills: Strong background in recommendation systems, NLP, and predictive analysis.
- Leadership and Communication: Excellent strategic thinking, communication, and mentoring abilities.
- Education: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
Bonus Points:
- PhD in Machine Learning or AI.
- Experience in marketplace platforms, gig economies, or talent ecosystems.
Why Join Us?
- Make a Real Impact: Your work will directly influence a platform that empowers millions.
- Innovative Environment: Be part of a team pushing the boundaries of AI.
- Career Growth: Opportunities to learn, lead, and grow within a fast-paced company.
- Competitive Compensation: We offer competitive salaries and benefits.
Ready to Shape the Future of Knowledge Work? Apply Now!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.