Staff Machine Learning Engineer Job at Uber (San Francisco)

Staff Machine Learning Engineer

Join PagerDuty as a Staff Machine Learning Engineer to tackle complex problems, ...

Location

Canada , Toronto

Salary:

156000.00 - 232000.00 CAD / Year

PagerDuty

Expiration Date

Until further notice

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

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

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

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

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

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

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

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

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

272700.00 - 333300.00 USD / Year

EarnIn

Expiration Date

Until further notice

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

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

equity and benefits

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

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

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

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

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...

Location

United States , Mountain View

Salary:

240000.00 - 385000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

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

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

bonus
equity
benefits
relocation assistance

Fulltime

Staff Machine Learning Engineer

Are you excited by the challenge of pushing the boundaries of what modern AI mod...

Location

United States , Austin

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

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

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

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

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

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

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

meaningful equity on offer

Fulltime

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States; Canada

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

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

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

meaningful equity on offer

Fulltime

Staff Machine Learning Engineer

Uber

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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Job Responsibility:

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