Engineering Manager II, Data & ML Systems Job at Uber (Hyderabad)

Data Scientist II (ML Engineering)

As CLEAR continues to scale, we’re deepening our investment in the data science ...

Location

United States , New York

Salary:

150000.00 - 180000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

3+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker
Advanced Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling
SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift)
Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51)
Understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability
Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management)
Strong communication and storytelling skills
A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices

Job Responsibility

Evolve CLEAR’s predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams
Develop high-quality production code including enhancements to feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards
Partner with Data Engineering and ML Platform teams to deploy models into production and ensure real-time and batch inference systems run efficiently
Advance CLEAR’s AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows
Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Engineering Manager II, Computer Vision - Applied AI

Applied AI at Uber builds intelligent systems that power critical product experi...

Location

United States , Seattle

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent technical background with exceptional demonstrated impact
12+ years of industry experience, including 3+ years leading high-performing engineering teams in large-scale distributed production environments
Proven track record of delivering sustained business impact over multiple quarters through strong execution and organizational leadership
Experience driving timely execution through effective delegation, empowering technical leads, and leading cross-team alignment by setting clear priorities and resolving trade-offs
Demonstrated ability to translate complex business problems into multi-year technical strategies and cross-team platform architectures

Job Responsibility

Lead and manage a team of software and deep learning engineers, delivering high-quality computer vision products and scalable ML systems
Develop and execute technical strategies that align with business objectives, translating complex product requirements into clear, multi-quarter roadmaps and platform architecture
Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation and deliver measurable impact across business units
Plan, prioritize, and oversee execution, ensuring timely delivery through effective delegation, empowering tech leads, and maintaining high engineering standards
Mentor, grow, and develop a world-class team of deep learning engineers, fostering a culture of continuous learning, operational excellence, and high performance

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber has expanded its services beyond transporting people to include the deliver...

Location

United States , New York

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years in software engineering with a primary focus on high-traffic backend systems
4+ years of engineering management experience
Deep experience in distributed systems, API/service design, and high-scale production serving
Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization
Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation
Strong verbal and written communication skills with the ability to influence technical and product roadmaps

Job Responsibility

Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces
Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership—managing, coaching, and growing all team members
Drive Reliability & Performance: Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services
Evolve Data Flow: Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs
Technical Vision: Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning
Operational Excellence: Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies
Scale Experimentation: Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Engineering Manager II, Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...

Location

United States , Sunnyvale; San Francisco; Seattle; New York

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
8+ years of experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters
Experience driving timely execution through effective delegation, empowering tech leads, and leading cross-team alignment by setting clear priorities, incorporating input from diverse stakeholders, and resolving trade-offs between short term and long term priorities
Proficiency upholding high standards of quality, reliability, and operational excellence through efficient review processes and data-driven process improvements
Proficiency in programming languages such as Python, Scala, Java, or Go
Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization). Proficiency in reinforcement learning and causal machine learning

Job Responsibility

Lead a team of exceptional engineers and cross-functional partners to design and deliver high-impact technical solutions to complex business problems
Drive organizational and technical strategy as well as roadmap ownership over a multi-year horizon and lead the implementation, including executive communication and alignment, platform-level architecture decisions, and cross-team leadership
Lead and delegate the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Guide tech leads on developing novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Hire, develop, and retain top-tier MLEs while fostering a culture centered on teamwork, technical excellence, smart risk taking, and inclusivity

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Software Engineering II - Finance Data & Experiences

Ready to shape the future of how Microsoft operates its ~$250B+ business portfol...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years of strong programming skills in one or more languages: C#, Java, Python, JavaScript, C++
1+ years of experience in data modeling, ETL development, and Business Intelligence & Data warehousing, or similar skills

Job Responsibility

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services
Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity
Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations
Implement and uphold practices that ensure safe, accurate, and efficient service releases across environments
Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions
Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences
Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation
Champion a culture of diversity, inclusion, customer obsession, and continuous learning

Fulltime

Program Manager II Tech

The GSS DAS team scales multiple data driven programs for different pillars acro...

Location

India , Bangalore; Hyderabad

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Possess at least 8 years of experience overseeing programs within data engineering domains, specifically in agile settings
Experience using SQL in a production environment
Good understanding of Data Engineering fundamentals and principles for Data Modeling foundations
Fluency in articulating and communicating data design and platform foundations with the peer group (technical and non technical)
Demonstrate strong team leadership and collaboration skills
Experience working with Product and Engineering teams
Ability to work with remote teams and across time zones
Focus on strategic problem solving and being able to raise the bar for quality/efficiency within the team
Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally

Job Responsibility

Owning program management and execution in the Data Engineering space across Uber's diverse teams
Creating KPI tracking frameworks to report and track progress on program management and governance
Partner with diverse teams (Data Science, Analytics, Product,ML) to define scope, gather requirements, propose solutions and plan a roadmap for execution
Lead vendor partner teams to drive execution, maintain accountability, proactively identify and mitigate risks
Leverage Gen AI based solutions for automation of Data Engineering workflows to improve program efficiency

Fulltime

Product Manager II - Microsoft AI Search

Microsoft AI is transforming how people discover, understand, and act on informa...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience
Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
3+ years of experience driving measurable improvements in product outcomes through experimentation
Demonstrated experience taking product features or experiences from concept to launch in partnership with design and engineering
Proven ability to improve product metrics through iteration, experimentation, and data‑informed decision making
Experience working on medium‑ to large‑scale, customer‑facing products
Ability to operate as an independent individual contributor without people‑management responsibilities
Experience modernizing or evolving established products or user experiences
Familiarity with AI‑powered or data‑driven consumer products (deep ML expertise not required)
Solid product craft and UX instincts, including shaping end‑to‑end user journeys

Job Responsibility

Own end‑to‑end product workstreams within Bing Whole Page Experiences, from problem discovery through launch, measurement, and iteration
Identify customer needs and unmet opportunities using quantitative signals, qualitative insights, and usage data, with minimal guidance
Shape how AI‑powered answers integrate with traditional search results to create clear, useful, and trustworthy whole‑page experiences
Frame product problems using data, user signals, and system constraints, and propose solution options with clear UX, quality, and technical trade‑offs
Partner closely with engineering, design, data science, and research to define requirements, success criteria, and delivery plans for high‑quality experiences
Define success metrics (e.g., engagement, satisfaction, quality) and design experiments to validate user and business impact
Analyze usage, engagement, and quality signals to guide iteration, improve outcomes, and inform near‑term roadmap decisions
Contribute to roadmap prioritization by evaluating short‑term investment opportunities and aligning feature work with product goals
Collaborate with Product Marketing and partner teams to support launch readiness, preview‑to‑GA transitions, and customer communication for owned features
Communicate product intent, decisions, and results to stakeholders through clear narratives and data‑backed insights

Fulltime

AV Labeling Program Manager II

As a Program Manager with the Physical AI team, you will be responsible for runn...

Location

India , Hyderabad

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company
Proven success in managing large-scale, high-precision data programs for AI/ML systems
Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes
Experience working cross-functionally with engineering, product, and data science teams
Excellent communication and stakeholder management skills, including experience influencing at senior levels
Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring
Strong analytical mindset with the ability to turn raw data into actionable insights

Job Responsibility

Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows
Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops
Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements
Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery
Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment
Use data to drive decisions — analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy
Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution

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Engineering Manager II, Data & ML Systems

Job Description

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