Associate MEAN Stack Job at Rudra Innovative Software Pvt Ltd

New

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

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

New

Senior Machine Learning Engineer - 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:

202000.00 - 224000.00 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
4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
Proficiency in programming languages such as Python, Scala, Java, or Go
Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Job Responsibility

Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

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

New

Staff Machine Learning Engineer

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one o...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline
Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
Excellent problem-solving and analytical abilities
Proven ability to collaborate effectively as a team player
8+ years of industry experience in ML/AI
A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research
Proven track record of training large models on distributed infrastructure
Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach
Experience collaborating effectively across an organization, not limited to just within teams

Job Responsibility

Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research
Identify and choose the right problems that will benefit from ML expertise
Design and develop a suite of ML models that will help solve the above problems
Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms
Explore novel ideas and innovative solutions that can lead to a step change in our products
Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar

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

New

Staff Machine Learning Engineer - 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
6+ years 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
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)

Job Responsibility

Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

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

New

Senior Machine Learning Engineer

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , San Francisco

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Minimum 4 years of working experience in the ML/Robotics industry
Bachelor degree in computer science, computer engineering or related fields
Proficient in Python and Linux
Familiar with OpenCV, TensorFlow/PyTorch

Job Responsibility

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
Systems architecture design, including management of upstream and downstream dependencies
Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
Deliver datasets to accelerate ML technologies, sensor data collection, processing, labeling, indexing, etc
Participate in periodic on-call rotations and be available for critical issues
Collaborate with platform, product and security engineering teams, and enable successful use of the latest machine learning techniques

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

New

Staff Machine Learning Engineer

Have you ever ordered a car service on Uber, and when the ride arrives, wondered...

Location

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

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters or PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
7 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with any of the following: Spark, Hive, Kafka, Cassandra
Experience building and productionizing innovative end-to-end Machine Learning systems
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
Experience working with cross-functional teams(product, science, product ops etc)

Job Responsibility

Build statistical, optimization, and machine learning models
Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
Optimize Uber’s background check spend and onboarding funnel
Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
Develop matching algorithms for driver to driver mentorship program
Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product

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

New

Environmental Services Technician

This position promotes environmental protection by maintaining healthy and safe ...

Location

United States , Shelby

Salary:

18.85 - 28.30 USD / Hour

Advocate Health Care

Expiration Date

Until further notice

Requirements

Preferred: High School diploma or GED equivalent
Preferred: One year experience
Can prioritize assignments to complete work in a timely manner
Can operate equipment
Can establish and maintain cooperative working relationships with co-workers

Job Responsibility

Performs complete cleaning of assigned areas
Dusting and sanitizing furniture, equipment, mirrors and fixtures
Washing windows, walls, ceilings, vents and light fixtures
Sweeping, scrubbing and refinishing floors
Vacuuming and shampooing carpet
Re-stocking restrooms
Replacing light bulbs
Reporting repairs
Removes waste by: Collecting and transporting soiled linen
Emptying trash containers

What we offer

Prepaid College Tuition Assistance program (up to $5,250/year)
Education: Earn your high school diploma or take ESL classes with no out-of-pocket expenses through our Online High School
Wellness Incentives: Up to $1,350 in wellness incentives through our LiveWELL program
Parental Benefits: Six weeks paid maternity leave & 4 weeks paid parental leave
Health Benefits: Amazing health insurance with the option of a copay or HSA eligible plan
Retirement: Up to 7% employer-paid retirement contributions
Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave

Fulltime

New

Software Engineer II, iOS - Financial Products

As a Software Engineer - iOS within Uber’s Finprod org, you will play a key role...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field
3+ years working with iOS applications and technical software engineering experience
Proficiency in Swift, SwiftUI
Experience with iOS SDK, strong knowledge of iOS core libraries, tools, and frameworks
Knowledge of iOS UI/UX Design Principles, experience designing responsive and intuitive user interfaces

Job Responsibility

Design financial services solutions
Coding in Swift
Collaborate on code and design reviews, and write unit and snapshot tests to achieve full test coverage and quality standards for your code
Work collaboratively with other engineers and cross functional stakeholders, like Product Managers

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

Associate MEAN Stack

Rudra Innovative Software Pvt Ltd

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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Associate MEAN Stack

Rudra Innovative Software Pvt Ltd

Location:

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Job Posted:
December 11, 2025