CrawlJobs Logo

Staff Machine Learning Engineer

uber.com Logo

Uber

Location Icon

Location:
United States , New York ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

232000.00 - 258000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

The Consumer Incentives team is responsible for the profitability and growth trajectory of Uber's business across various verticals, including food and grocery. Our objective is to enhance the customer experience by making it more pleasant and affordable. The team addresses complex challenges in machine learning, optimization, and distributed systems to power products that serve hundreds of millions of individuals globally.

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

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

Nice to have:

  • PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning and 4+ years of experience in ML role with an emphasis on data and experiment driven model development
  • Experience in serving and monitoring online training systems such as real time recommendation systems
  • Experience designing and implementing novel metrics for performance evaluation
  • Proven track record in conducting experiments and tracking models in high-complexity environments
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

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Uber - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Staff Machine Learning Engineer

Staff Machine Learning Engineer

Join PagerDuty as a Staff Machine Learning Engineer to tackle complex problems, ...
Location
Location
Canada , Toronto
Salary
Salary:
156000.00 - 232000.00 CAD / Year
https://www.pagerduty.com Logo
PagerDuty
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience building, designing, and evolving data architecture for large-scale systems
  • Excellent communication skills
  • Experience working with Product teams, ensuring and driving a timely delivery
  • Have a deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production
  • Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams
  • Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
  • Passionate about ML engineering and interested in driving discussions with stakeholders and executives
Job Responsibility
Job Responsibility
  • Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
  • Drive and define standards for AI/ML across the organization
  • Provide guidance, technical leadership, and mentoring to other members of the team
  • Mentor junior members and participate in scaling up the existing team
  • Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
  • Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture toward those ends
  • Develop a long-term plan for ML/AI investments
What we offer
What we offer
  • Competitive salary
  • Comprehensive benefits package from day one
  • Flexible work arrangements
  • Company equity
  • ESPP (Employee Stock Purchase Program)
  • Retirement or pension plan
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...
Location
Location
United States , Mountain View
Salary
Salary:
272700.00 - 333300.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
  • 7+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
  • Experience with LLM Ops, foundation model APIs, and AI engineering
  • Familiarity with data pipeline and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
Job Responsibility
Job Responsibility
  • Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
  • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
  • Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
  • Be a mentor, coach, leader and inspiration to those around you
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...
Location
Location
United States , San Francisco
Salary
Salary:
216500.00 - 324500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
  • Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
  • Extensive experience designing, developing, and operating scalable backend systems
  • Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
  • Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
  • Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
  • Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
  • Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
  • Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
Job Responsibility
Job Responsibility
  • Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
  • Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
  • Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
  • Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
  • Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
  • Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
  • Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
  • Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
  • Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
  • Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure
What we offer
What we offer
  • Competitive pay
  • Comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
  • Fulltime
Read More
Arrow Right

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...
Location
Location
United States , Mountain View
Salary
Salary:
240000.00 - 385000.00 USD / Year
inworld.ai Logo
Inworld AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience
  • 5+ years of combined experience in software development (Python, C++) and applied ML engineering
  • Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning
  • Strong foundation in data structures, algorithms, and neural network architectures
  • Proficiency with ML frameworks such as PyTorch
Job Responsibility
Job Responsibility
  • Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities
  • Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints
  • Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • relocation assistance
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Are you excited by the challenge of pushing the boundaries of what modern AI mod...
Location
Location
United States , Austin
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in Computer Science or a related field (PhD preferred)
  • 6+ years of industry experience building and deploying machine learning models at scale
  • Deep expertise in LLMs, Mixture-of-Experts architectures, and modern ML frameworks such as PyTorch or TensorFlow
  • Demonstrated innovation through impactful research, patents, or production-grade ML systems
  • Ability to lead complex, cross-functional technical initiatives
  • Strong problem-solving skills and a passion for pushing the boundaries of AI
Job Responsibility
Job Responsibility
  • Architect, train, and optimize cutting-edge LLMs and MoE-based systems
  • Experiment with novel algorithms to improve efficiency, scalability, and model performance
  • Collaborate closely with engineering and product teams to deploy ML capabilities into production
  • Contribute to pioneering research in ML and NLP, driving methodological advancements
  • Mentor engineers and help shape technical best practices across the organisation
What we offer
What we offer
  • Competitive compensation and performance incentives
  • Comprehensive medical, dental, and vision benefits
  • Monthly wellness stipend + annual continuing education credit
  • A flexible work environment and unlimited approved PTO
  • Parental and bereavement leave and other employee support programs
  • Relocation support available
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • STEM degree from a top school (bonus points for Masters or PhD)
  • 5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
  • Strong software engineering background with a track record of shipping at scale
  • Experience tuning and deploying LLMs
  • Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability
Job Responsibility
Job Responsibility
  • Build and refine AI-driven product features that feel intuitive and responsive
  • Apply data from real users to personalize interactions and improve predictive performance
  • Experiment with model fine-tuning, retrieval methods, and feedback loops to maximize accuracy
  • Develop specialized AI-powered workflows that simplify complex technical tasks
  • Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively
What we offer
What we offer
  • meaningful equity on offer
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...
Location
Location
United States; Canada
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • STEM degree from a top school (bonus points for Masters or PhD)
  • 5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
  • Strong software engineering background with a track record of shipping at scale
  • Experience tuning and deploying LLMs
  • Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability
Job Responsibility
Job Responsibility
  • Build and refine AI-driven product features that feel intuitive and responsive
  • Apply data from real users to personalize interactions and improve predictive performance
  • Experiment with model fine-tuning, retrieval methods, and feedback loops to maximize accuracy
  • Develop specialized AI-powered workflows that simplify complex technical tasks
  • Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively
What we offer
What we offer
  • meaningful equity on offer
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy