Senior Researcher - Cloud and AI Infrastructure Job at Microsoft Corporation (Vancouver)

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Has experience in providing technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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

Senior Machine Learning Engineer

As an ML Engineer at Axon, you will contribute to developing AI solutions transf...

Location

United States , Seattle

Salary:

150750.00 - 221000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field
6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud
Experience with Infrastructure-as-code and cloud architecture
Proficiency in Python and C++
familiarity with ML frameworks such as TensorFlow, or PyTorch
Advanced knowledge and hands-on experience with Linux
Excellent problem solving skills and ability to dive deep into system architecture
Excellent software design skills
Comfort communicating and interacting with scientists, engineers and product managers

Job Responsibility

Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow
Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models
Architect platforms that accelerate research and AI product development
Collaborate with scientists in architecting and implementing state-of-the-art training techniques
Set high standards for ethical and responsible AI development

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Principal Researcher - Cloud and AI Infrastructure

Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouve...

Location

Canada , Vancouver

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field AND 6+ years related research experience
OR Master's Degree in relevant field AND 7+ years related research experience
OR Bachelor's Degree in relevant field AND 9+ years related research experience
OR equivalent experience
3+ years’ experience in research related to infrastructure design, computer architecture, or artificial intelligence
Experience publishing academic papers as a lead author or essential contributor
Experience participating in a top conference in relevant research domain
Experience in optimizing or designing hardware components and architectures to enhance performance, reliability, efficiency

Job Responsibility

Investigate and analyze emerging hardware technologies, trends, and advancements
Design and optimize hardware components, systems, and architectures to enhance performance, reliability, and efficiency
Conduct simulations, tests, and validations to ensure hardware designs meet required specifications and performance goals
Develop prototypes and proof-of-concept models to demonstrate new hardware technologies and applications
Identify opportunities for hardware improvements and cost reductions by staying informed about industry best practices and standards
Collaborate with cross-functional teams, including software researchers, designers, and engineers, to identify hardware requirements and develop innovative solutions
Partner with manufacturing vendors and production teams to transition innovative designs and concepts into deployable systems
Document research findings, design decisions, and technical specifications to facilitate knowledge sharing and collaboration within the organization

Fulltime

As-a-Service Solution Architect Intern

Hewlett Packard Enterprise offers an internship for university students to gain ...

Location

Chile , Santiago

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Actively enrolled in a Bachelor’s degree program in Computer Engineering, Infrastructure and Technology Platforms Engineering, Administration or Business Administration with strong technology orientation
Demonstrated background in Information Technology fundamentals (cloud, AI, servers, storage, and networks)
Fluent English (oral and written)
Strong commercial mindset
Results-oriented approach
Ability to collaborate and build relationships
Effective communication skills
Creative thinking and problem-solving
Excellent time management, prioritization, and self-organization
Curiosity, creativity, and desire for continuous learning

Job Responsibility

Learn and support solution development based on HPE’s Hybrid Cloud, AI, and As-a-Service portfolio
Gain hands-on exposure to technologies such as virtualization, cloud computing, infrastructure, and data protection
Assist in creating packaged services, Statements of Work (SoW), and other deliverables
Support presales and sales teams in identifying opportunities
Prepare technology demonstrations
Showcase HPE technologies through presentations, demos, and validations
Assist in research and analysis of market trends
Help map customer pain points to Hybrid Cloud use cases
Participate in the creation of customized advisory reports
Collaborate with senior advisors to document findings

What we offer

Comprehensive benefits suite
Professional development programs
Inclusion and diversity initiatives

Parttime

Senior Product Manager - AI

As a Senior Product Manager in the Bentley Infrastructure Cloud group, you will ...

Location

Canada , Quebec

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

A minimum of 8 years of professional experience in product management
PM experience with AI-enhanced products, including generative AI, is highly desirable
Track record of managing cross-functional initiatives with a high level of organizational visibility
Extensive knowledge of product management practices
Proven ability to build and lead high-performing, empowered teams in dynamic environments
Advanced degree in Business, Computer Sciences, or a related field
Technical proficiency for effective collaboration with engineering teams and defining product specifications
Passion for understanding and meeting the needs of developers and internal customers
Comfortable with ambiguity and adept at evolving ideas from conception to successful launch
Skill in balancing strategic product vision with hands-on operational management

Job Responsibility

Develop strategies and roadmaps to enhance the Bentley Infrastructure Cloud portfolio, focusing on integrating AI functionalities in Bentley’s Cloud solutions
Survey existing APIs available in Bentley products, identify opportunities for new APIs and tools, and plan how to instrument them, govern their usage by AI Agents, and monetize them
Develop strategies for interactions through the Model Context Protocol between Bentley’s cloud solutions and embedded copilots and with user-developed generative AI solutions
Perform internal and external research to understand developer and user needs, along with industry trends, to improve our products and AI strategy
Define strategic business outcomes and establish quarterly Objectives and Key Results (OKRs) for aligning development with Bentley's product and technology goals
Proactively manage and communicate the OKR and plans with stakeholders, leadership, and senior management transparently
Lead discoveries for developing innovative platform capabilities through experimentation to exceed developer and user expectations
Work closely with UX designers, developers, and other product team members to execute on the Bentley Infrastructure Cloud strategy
Monitor the Bentley Infrastructure Cloud performance using Key Performance Indicators (KPIs) to ensure ongoing enhancement
Build and sustain relationships with teams inside and outside the Bentley Infrastructure Cloud group for relevant capability development

Senior Software Engineer, AI Platform and Enablement

We're building a next-generation AI-powered platform and web application for cre...

Location

United States , San Francisco

Salary:

180000.00 - 286000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

Experience in deploying and managing AI models in production
Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
Knowledge of DevOps and MLOps best practices
Strong problem-solving abilities and excellent communication skills

Job Responsibility

Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs
Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure
Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
Optimize and scale our models and algorithms for efficient inference
Deploy, monitor, and manage AI models in production

What we offer

Generous healthcare package
401k matching program
Catered lunches
Flexible vacation time

Fulltime

Senior Researcher - Azure Research - Systems

Azure Research – Systems (AzRS) is a research group within Azure that advances t...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Advance a research agenda through one or more research projects, with the goal of advancing the state of the art and having impact in production. The research will yield new algorithms, prototypes, insights, and more
Collaborate with members of the group and relevant product or business groups to help translate research results and prototypes into production impact
Publish and contribute to top scientific conferences and journals
Establish collaborative relationships with relevant product and business groups inside or outside of Microsoft and provide expertise or technology to them
Mentor team members in processes and scenarios, research projects, and their careers

Fulltime

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Senior Researcher - Cloud and AI Infrastructure

Job Description

Job Responsibility

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