Principal Researcher - Deep Learning Job at Microsoft Corporation (Redmond)

Principal Researcher - Artificial Intelligence

The AI Interaction and Learning team in Microsoft Research advances research on ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

PhD in Computer Science or related field AND 3+ years related research experience OR equivalent experience
Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence
Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR)
Demonstrable ability to develop/shape original research agendas
Ability to work collaboratively in a multi-disciplinary team
Proficient oral and written communication skills
Passion for AI research

Job Responsibility

Identify and articulate problems that are academically novel and may directly/indirectly impact business opportunities
Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups
Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data
Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations
Collaborate with other relevant researchers or groups to advance a research agenda
Embody our culture and values

Fulltime

Principal Researcher - Systems & Networking

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

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field AND 3+ years related research experience OR equivalent experience
3+ years experience in research related to Artificial Intelligence or Machine Learning
Doctorate in relevant field AND 5+ years related research experience OR equivalent experience
Experience publishing academic papers as a lead author or essential contributor
Experience participating in a top conference in relevant research domain
Background in systems and networking, including experience with machine learning system, database, and networking technologies
Deep knowledge about the latest technical advancements such as Agent Systems, Vector Database, and ML Systems
A track record of published research in the field of AI-driven system innovation

Job Responsibility

Conduct research on state-of-the-art AI-driven system methods and technologies to identify opportunities for system innovation and acceleration
Develop and implement new methodologies, techniques, and algorithms for improving the performance, efficiency, and scalability of AI-driven systems
Collaborate with cross-functional teams, including hardware and software engineers, data scientists, and product managers, to drive the development and deployment of innovative AI-driven system solutions
Stay current with the latest trends, research, and developments in AI, machine learning, and system architecture to ensure our systems remain at the forefront of innovation
Evaluate the performance of AI-driven systems and provide recommendations for improvement and optimization
Publish research findings in peer-reviewed journals, conferences, and other relevant venues, and present research results to internal and external stakeholders
Mentor and guide researchers and engineers in their research and development efforts
Collaborate with industry partners and academic institutions to drive joint research projects and initiatives
Embody our culture and values

Fulltime

Principal UX Researcher

At Safewill, we’re transforming estate planning and end-of-life services through...

Location

Australia , Sydney

Salary:

Not provided

Safewill

Expiration Date

Until further notice

Requirements

Have 5+ years in UX research, product research, or a similar role
Have worked in startup, scaleup, or B2B2C environments
Are strong across both generative and evaluative research
Know when to go deep and when to move fast
Influence cross-functional teams without relying on authority
Communicate clearly and bring structured thinking to complex problems
Use data, experimentation and research together to guide decisions

Job Responsibility

Drive discovery and turn insights into clear problems, opportunities and product direction
Own the research strategy across key domains, ensuring we focus on the highest-impact questions
Design and run end-to-end research, from early exploration through to evaluative work
Combine qualitative and quantitative methods to build a deep understanding of customer behaviour
Shape product strategy and roadmap through evidence, linking insight to business outcomes
Define success measures and ensure we’re learning from what we ship
Synthesize research, data and market signals into clear narratives that influence decisions
Facilitate workshops and align teams around insight-led direction
Improve how we do research and embed strong discovery practices across teams

Fulltime

Principal Security Researcher (DNS Security)

The DNS Security Research team delivers high-quality content to our products to ...

Location

United States , Santa Clara

Salary:

162700.00 - 263175.00 USD / Year

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Cyber Security or Machine Learning or equivalent experience
2+ years of Security research experience
Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research
Expertise in DNS and IPv4/IPv6
Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting
Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats
Excellent programming skills in Python, Shell script, Go, or SQL
Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.)
Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery
Be comfortable working independently, efficiently

Job Responsibility

Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.
Design and build scalable and extensible prevention/detection systems
Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques
Convert research results and discoveries into products, research papers, etc.

What we offer

restricted stock units
bonus
employee benefits

Fulltime

Principal Security Researcher (Xpanse)

The Team Cortex Platform - Cortex is the industry's only open and integrated, A...

Location

United States , Santa Clara

Salary:

162700.00 - 263175.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of experience in vulnerability management, offensive security or security research
Experience contributing to public vulnerability research, submitting CVEs or creating proof-of-concept exploits
Strong understanding of TCP/IP and networking protocols (eg. HTTP, FTP, SSH, SNMP)
Familiarity with common open source security software such as Nuclei, OpenVAS, and Nmap
Knowledge of cybersecurity frameworks and vulnerability methodologies
Familiarity with current penetration and security assessment tools such as Metasploit, Nmap, Burp Suite, Wireshark, etc.
Proficient in Python. Familiar with, or eager to learn Java, Golang, C/C++ or RUST
Deep understanding of Windows, Linux, macOS and Unix-based systems
Able to switch between research, design, prototype, and implementation
Cybersecurity knowledge demonstrated with base level certifications (eg. OSCP, GPEN, or Pentest+) or willingness to obtain

Job Responsibility

Develop and maintain a comprehensive, industry-leading repository of vulnerability content to enhance detection and mitigation strategies
Shape and drive the tactical response to zero-day and critical vulnerabilities across all attack surfaces, ensuring rapid containment and mitigation
Conduct research and testing, enhance automation processes, and ensure a smooth workflow for identifying, validating and mitigating security risks
Analyze existing solutions, identify barriers to quality, recommend changes, then implement
Take part in architecture strategy sessions
design solutions that accommodate the requirements of the various groups across Cortex
Collaborate with teams to solve problems, reduce technical debt, and evolve development practices. Drive technical best practices and evangelize new technologies within the engineering organization
Mentor other researchers and ensure that your team delivers high-quality output
Take ownership of projects, drive them to completion, and support them in production

What we offer

restricted stock units
bonus

Fulltime

Principal Security Researcher (DNS Security)

The DNS Security Research team delivers high-quality content to our products to ...

Location

United States , Santa Clara

Salary:

162700.00 - 263175.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Cyber Security or Machine Learning or equivalent experience
2+ years of Security research experience
Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research
Expertise in DNS and IPv4/IPv6
Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting
Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats
Excellent programming skills in Python, Shell script, Go, or SQL
Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.)
Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery
Be comfortable working independently, efficiently

Job Responsibility

Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.
Design and build scalable and extensible prevention/detection systems
Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques
Convert research results and discoveries into products, research papers, etc.

What we offer

Restricted stock units
Bonus

Fulltime

Principal Machine Learning Engineer - Evisort AI

Principal Machine Learning Engineer - Evisort AI at Workday. As a Principal Mach...

Location

USA , Seattle; Atlanta

Salary:

210600.00 - 316000.00 USD / Year

Workday

Expiration Date

Until further notice

Requirements

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Job Responsibility

Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
Develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers

Fulltime

Staff / Principal Machine Learning Engineer, Serving

A year ago, reliably working agentic systems and sub-second multimodal inference...

Location

United States , Mountain View

Salary:

270000.00 - 500000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM
Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding
High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs
Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections
Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups
Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production
Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems

Job Responsibility

We hand you unclear problems and expect you to make them clear
We value engineers who say 'I don't know yet' and then design the benchmark or prototype that finds out
We treat performance, latency, and reliability as first-class product features, not a box to check before launch
Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward
Your work should be visible

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

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Principal Researcher - Deep Learning

Job Description

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