Staff Machine Learning Engineer Job at Uber (Sunnyvale)

Staff Machine Learning Engineer

Applied AI is a horizontal AI team at Uber partnering with product and platform ...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience in machine learning or software engineering, with a proven record of delivering ML solutions to production
Strong knowledge of machine learning, deep learning, and exposure to generative AI techniques (e.g., transformers, LLMs, diffusion)
Experience designing and scaling ML systems or platforms, including training pipelines, serving infrastructure, and model lifecycle tooling
Fluency in ML frameworks (e.g., PyTorch, TensorFlow, JAX) and development in Python and/or scalable backend languages (e.g., Java, Go)
Excellent collaboration and communication skills with the ability to work across teams and functions

Job Responsibility

Design and implement ML-driven systems that power core Uber experiences, with a focus on scalability, reliability, and performance
Lead the technical execution of key projects involving classical ML, deep learning, and generative AI technologies (e.g., LLMs, multimodal models)
Collaborate closely with product, data science, and infrastructure teams to develop AI solutions from ideation through production deployment
Contribute to and influence the technical direction for Applied AI, particularly around system design, model architecture, and infrastructure decisions
Champion engineering best practices in ML development — including experimentation workflows, model versioning, evaluation, monitoring, and responsible AI
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar

Fulltime

Staff Machine Learning Engineer

The Marketplace Signals team at Uber is responsible for building and optimizing ...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
6+ years of industry experience in machine learning, including building and deploying ML models at scale
Experience in modern deep learning architectures and probabilistic modeling
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git
Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.

Job Responsibility

Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts)
Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized
Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases
Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals
Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences
Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations
Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

Staff Machine Learning Engineer

We are looking for a Staff Machine Learning Engineer to join the Eats Search Ran...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
9+ years of experience in developing and deploying machine learning models and algorithms in production environments
Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills

Job Responsibility

Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance
Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions
Set long term technical direction for one of the key investment areas in the team (e.g., query understanding, retrieval, ranking), and uphold high engineering and ML quality bar
Mentor and grow ML engineers in the team
Identify new business opportunities to solve problems with the right technologies, and stay up-to-date with the latest advancements in machine learning techniques and technologies

Fulltime

Staff Machine Learning Engineer

Uber Marketplace is at the core of Uber's business, and Marketplace Matching is ...

Location

United States , San Francisco

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD or equivalent in Computer Science, Engineering, Mathematics or related field
Programming language (e.g. C, C++, Java, Python, or Go)
5+ years of proven experience in the industry
Large-scale training using data structures and algorithms
Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib

Job Responsibility

Build elastic, scalable, and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber
Work closely with engineers in the broader Uber ML/AI Platform Team (Michelangelo) to improve the broader ML Platform ecosystem for our users
Work closely with Uber's ML community (with ML Engineers, Data Scientists, and Researchers) to scope and build new abstractions for scalable machine learning

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

Staff Machine Learning Engineer

Uber Marketplace is at the heart of Uber’s business, with Rider Pricing & Incent...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
Experience with machine learning and optimization algorithms

Job Responsibility

Lead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs
Improve the performance of models and algorithms powering pricing algorithms and promotion targeting
Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap
Mentor more junior team members by role modeling ML best practices
Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth
Help Uber’s end-users by making mobility options accessible and affordable

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

Staff Machine Learning Engineer

The Consumer Incentives team is responsible for the profitability and growth tra...

Location

United States , New York; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Master (or equivalent in Computer Science, Engineering, Mathematics or related field) with 6+ years of full-time ML engineering experience
Expertise in deep learning and optimization algorithms
Experience with ML frameworks such as PyTorch and TensorFlow
Experience building and productionizing innovative end-to-end Machine Learning systems
Proficiency in one or more coding languages such as Python, Java, Go, or C++
Strong communication skills and can work effectively with cross-functional partners

Job Responsibility

Identifying strategic technical investments to push the efficiency frontier and boost business growth
Leading teams to design and implement ML/optimization solutions to meet ambitious business goals
Managing end-to-end project execution, from scoping and offline evaluation to experimentation, production, and post-launch operation
Collaborating with cross-functional teams, including product, operations, and science partners

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

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

Staff Machine Learning Engineer

Playlab seeks a Staff Machine Learning Engineer to join our growing Engineering ...

Location

Salary:

190000.00 - 250000.00 USD / Year

Playlab

Expiration Date

Until further notice

Requirements

7+ years building and deploying ML systems in production, with recent experience in generative AI and LLMs
Strong understanding of ML fundamentals, model fine-tuning, and evaluation methodologies
Experience building production AI systems - you understand latency, cost optimization, and evaluation challenges
Proficient in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.)
Thrive in high-agency, high collaboration cultures
Great communication that makes working remote-first work

Job Responsibility

Research, prototype, and implement ML systems that enable educators to build safe, effective AI applications - working with both LLMs and traditional ML models as appropriate
Stay on top of emerging AI research and technologies - evaluate what's relevant for education and integrate what works
Work cross-functionally with engineering, product, and educators to ensure ML systems solve real educational needs
Balance experimentation with production excellence - explore cutting-edge techniques while ensuring reliability, performance, and cost-effectiveness at scale
Contribute to our open-source ML infrastructure and help establish evaluation standards for educational AI
Mentor engineers on ML systems design and implementation through pairing and reviews

Fulltime

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Staff Machine Learning Engineer

Staff Machine Learning Engineer

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Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

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