CrawlJobs Logo
Uber Logo Uber · IT - Software Development

Staff Machine Learning Engineer - Applied AI

United States, Sunnyvale, California Employment contract 232000.00 - 258000.00 USD / Year · Job Posted April 24, 2026
Apply Position
Job Link Share

Job Description

The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization and Geospatial AI. We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day. We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.

Job Responsibility

  • Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI
  • Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility)
  • Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants
  • Define long-term investment areas (build vs fine-tune vs partner models)
  • Mentor senior engineers and act as a technical multiplier across the org

Requirements

  • Masters degree or Ph.D in Computer Science, Engineering, Mathematics
  • 8+ years of ML experience, including significant work on large-scale deep learning systems
  • Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
  • Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
  • Strong experience with PyTorch and distributed training
  • Track record of influencing technical direction across teams
  • Strong product intuition and ability to connect model improvements to business outcomes

Nice to have

  • Experience leading multi-team ML initiatives
  • Defined long-term technical roadmaps adopted across orgs
  • Elevated engineering standards through mentorship and technical leadership

What we offer

  • Bonus program
  • Equity award
  • 401(k) plan
  • Various benefits
Uber - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff Machine Learning Engineer - Applied AI

8 matching positions

New

Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

As a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signal...
Location
Location
United States , Bay Area
Salary
Salary:
Not provided
block.xyz Logo
Block
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years building and operating production software and ML systems for business-critical products
  • Deep expertise in intelligent systems such as ranking/retrieval, recommendations, search, personalization, growth and lifecycle ML, customer intelligence, propensity/churn/LTV, next-best-action, or model-derived risk signals
  • Strong production ML judgment across feature pipelines, model serving, experimentation, monitoring, feedback loops, online/offline consistency, and reliable signal interfaces
  • Ability to evaluate impact beyond short-term conversion, including trust, fairness, access, risk, compliance, and long-term engagement
  • Experience using AI-assisted engineering tools with appropriate verification, testing, and review for customer-impacting systems
Job Responsibility
Job Responsibility
  • Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities
  • Design production data and signal contracts that define intended use, freshness, provenance, confidence, eligibility, and calibration for downstream consumers
  • Own ranking, retrieval, recommendation, search, propensity, and next-best-action systems end to end, from feature and candidate generation through serving, experimentation, monitoring, and feedback loops
  • Evaluate customer and business impact beyond short-term conversion, including trust, fairness, access, risk, compliance, long-term engagement, and segment-level performance
  • Partner across product, growth, data, platform, modeling, risk, and compliance to translate ambiguous goals into measurable ML system designs
  • Use AI and agents to accelerate development, analysis, testing, documentation, and operations while exposing reusable capabilities to product services, internal tools, and AI-assisted workflows
What we offer
What we offer
  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
  • Fulltime
Read More
Arrow Right
New

Staff Applied Machine Learning Engineer - Fraud & Abuse

As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will ...
Location
Location
United States , Bay Area
Salary
Salary:
276800.00 - 415200.00 USD / Year
block.xyz Logo
Block
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years building and operating production software and ML systems for business-critical products
  • Deep expertise in fraud/risk domains such as payment fraud, identity/account integrity, merchant or marketplace risk, scams, trust & safety, abuse prevention, or compliance decisioning
  • Strong production ML judgment across feature pipelines, model serving, evaluation, monitoring, low-latency integration, safe rollout, and incident response
  • Sound judgment around false-positive tradeoffs, noisy labels, adversarial behavior, customer harm, and cross-functional decisions
  • Experience using AI-assisted engineering tools with appropriate verification, testing, and review for high-stakes systems
Job Responsibility
Job Responsibility
  • Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention
  • Integrate behavioral, graph, device, network, event-stream, and third-party signals into low-latency model serving, decision APIs, and product controls
  • Own the production lifecycle for risk decisions, including data contracts, feature quality, online/offline consistency, monitoring, drift detection, safe rollout, rollback, and incident response
  • Develop feedback loops and verified AI-assisted workflows for triage, investigation support, alert clustering, graph exploration, simulation, and post-incident learning
  • Partner with modelers, analysts, product, compliance, and operations to balance fraud losses, customer access, false positives, product velocity, support burden, and long-term trust
  • Create reusable decision and evaluation capabilities that product services, internal tools, and AI-assisted workflows can safely consume
What we offer
What we offer
  • Remote work
  • medical insurance
  • flexible time off
  • retirement savings plans
  • modern family planning
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Lexington
Salary
Salary:
Not provided
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , North Bethesda
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Gaithersburg
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Waltham
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer - Clinical - AI Teams

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
  • PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
  • Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
  • Expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
  • Exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions
Job Responsibility
Job Responsibility
  • Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
  • Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
  • Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
  • Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
  • Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
  • Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
  • Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
  • Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
  • Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
  • Translate clinical needs into research questions and production systems that measurably improve patient outcomes
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from abroad for up to 10 days per year thanks to our flexibility days policy
  • Work Council subsidy to refund part of sport club membership or creative class
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Staff Applied AI Engineer, Enterprise GenAI

The SGP ML team works on the front lines of this AI revolution. We interface dir...
Location
Location
United States , San Francisco, CA; Seattle, WA; New York, NY
Salary
Salary:
216000.00 - 270000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of full-time engineering experience, post-graduation
  • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals
  • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
  • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
  • Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
Job Responsibility
Job Responsibility
  • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
  • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
  • Have experience gathering business requirements and translating them into technical solutions
  • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
  • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases
  • Be able and willing to multi-task and learn new technologies quickly
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend
  • Fulltime
Read More
Arrow Right