ML Engineer II
Uber
ML Engineer II
Job Description
ML Engineer II
📋 Job Overview
The ML Engineer II role at Uber involves contributing to the technical vision of the Marketplace Health team, focusing on making business metrics explainable and actionable. The candidate will lead the design and development of machine learning solutions to enhance root cause analysis for marketplace metrics, while also providing technical leadership to the team.
📍 Location: Bangalore, Karnataka, India
🏢 Department: Engineering
📄 Full Description
**About the Role**
The Marketplace Health team is building tools that aim to explain movements in business metrics; we aim to make business metrics explainable and actionable, fast. This is a new charter. The candidate would help contribute to the technical vision and help influence the team's short-term and long-term goals.
**What you'll do:**
1. Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems.
2. Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
3. Lead ML engineers, provide technical leadership and vision for the team.
**What you'll need:**
1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience
2. 7+ years of experience in software engineering with an emphasis on data-driven technologies
3. Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions.
4. 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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](mailto:accommodations@uber.com).
The Marketplace Health team is building tools that aim to explain movements in business metrics; we aim to make business metrics explainable and actionable, fast. This is a new charter. The candidate would help contribute to the technical vision and help influence the team's short-term and long-term goals.
**What you'll do:**
1. Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems.
2. Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
3. Lead ML engineers, provide technical leadership and vision for the team.
**What you'll need:**
1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience
2. 7+ years of experience in software engineering with an emphasis on data-driven technologies
3. Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions.
4. 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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](mailto:accommodations@uber.com).
🎯 Key Responsibilities
- Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems
- Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
- Lead ML engineers, provide technical leadership and vision for the team
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience
- 7+ years of experience in software engineering with an emphasis on data-driven technologies
- Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions
- 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Locations
- Bangalore, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 18,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience (experience)
- 7+ years of experience in software engineering with an emphasis on data-driven technologies (experience)
- Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions (experience)
- 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies (experience)
Responsibilities
- Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems
- Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
- Lead ML engineers, provide technical leadership and vision for the team
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Answer 10 quick questions to check your fit for ML Engineer II @ Uber.
10 Questions
~2 Minutes
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ML Engineer II
Uber
ML Engineer II
Job Description
ML Engineer II
📋 Job Overview
The ML Engineer II role at Uber involves contributing to the technical vision of the Marketplace Health team, focusing on making business metrics explainable and actionable. The candidate will lead the design and development of machine learning solutions to enhance root cause analysis for marketplace metrics, while also providing technical leadership to the team.
📍 Location: Bangalore, Karnataka, India
🏢 Department: Engineering
📄 Full Description
**About the Role**
The Marketplace Health team is building tools that aim to explain movements in business metrics; we aim to make business metrics explainable and actionable, fast. This is a new charter. The candidate would help contribute to the technical vision and help influence the team's short-term and long-term goals.
**What you'll do:**
1. Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems.
2. Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
3. Lead ML engineers, provide technical leadership and vision for the team.
**What you'll need:**
1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience
2. 7+ years of experience in software engineering with an emphasis on data-driven technologies
3. Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions.
4. 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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](mailto:accommodations@uber.com).
The Marketplace Health team is building tools that aim to explain movements in business metrics; we aim to make business metrics explainable and actionable, fast. This is a new charter. The candidate would help contribute to the technical vision and help influence the team's short-term and long-term goals.
**What you'll do:**
1. Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems.
2. Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
3. Lead ML engineers, provide technical leadership and vision for the team.
**What you'll need:**
1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience
2. 7+ years of experience in software engineering with an emphasis on data-driven technologies
3. Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions.
4. 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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](mailto:accommodations@uber.com).
🎯 Key Responsibilities
- Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems
- Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
- Lead ML engineers, provide technical leadership and vision for the team
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience
- 7+ years of experience in software engineering with an emphasis on data-driven technologies
- Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions
- 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
Locations
- Bangalore, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 18,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience (experience)
- 7+ years of experience in software engineering with an emphasis on data-driven technologies (experience)
- Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions (experience)
- 3+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies (experience)
Responsibilities
- Lead the design, development, optimization, and productization of machine learning solutions and systems that are used to solve strategically important or vaguely defined problems
- Build ML solutions to improve RCA for marketplace metrics while delivering magical user experience
- Lead ML engineers, provide technical leadership and vision for the team
Tags & Categories
Answer 10 quick questions to check your fit for ML Engineer II @ Uber.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs