While traditional NLP focuses on analyzing static text, your work will center on real-time, multimodal systems that can listen, reason, and take action during live customer interactions.

A major focus of the team is advancing DialpadGPT, our proprietary LLM, specifically optimizing it to drive orchestrated agentic workflows and handle complex task execution.

Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems.

Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking agentic applications.

If you're passionate about agentic and multimodal AI and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Senior Manager of the NLP team and has the opportunity to be based in Vancouver, BC.

Key responsibilities include:

• Research and develop state-of-the-art algorithms for autonomous voice agents, specifically focusing on real-time speech processing and reasoning loops.

• Advance DialpadGPT: Design and execute distributed training strategies to optimize our proprietary LLMs for agentic behaviors, including precise tool use, instruction following, and latency-constrained generation.

• Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts.

• Design and implement orchestration layers that effectively chain LLMs with external tools and APIs to solve complex customer problems autonomously.

• Work with large-scale multimodal datasets (text, audio) to improve model robustness and alignment.

• Collaborate with engineering, product, and design teams to deploy scalable, low-latency models and algorithms in production.

• Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team’s research culture.

To succeed in this role, you'll need:

• A Master’s or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field.

• 2+ years of industry experience in Machine Learning/NLP for Master’s degree holders, or 1+ years for PhD holders.

• Deep understanding of LLMs: Demonstrated experience with training, fine-tuning (PEFT/LoRA), and alignment techniques (RLHF/DPO) for specific domains or tasks.

• Experience with Agentic Systems: Familiarity with building autonomous agents, including concepts like tool use, function calling, reasoning chains (CoT), and memory management.

• Strong proficiency in Python and PyTorch, with the ability to write clean, production-ready research code.

• Research Track Record: A history of publishing in top-tier conferences (ACL, EMNLP, NeurIPS, ICASSP) is highly valued.

• Multimodal Awareness: Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus.

• Ability to bridge the gap between research and product, translating complex technical concepts into business value.

• Familiarity with version control tools like Git for collaborative projects.

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We have several research themes, including developing multi-modal, real-time agentic systems that can listen, reason, and take action during live customer interactions. We are also developing real-time knowledge retrieval models to power live coaching features for customer support and sales agents.

Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking applications.

If you're passionate about language, AI, and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Manager of the NLP team and has the opportunity to be based in our Kitchener, ON, office.

Key responsibilities include:

• Developing, implementing, and refining state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products.

• Conducting rigorous evaluation and monitoring of model performances and troubleshooting issues with a keen understanding of resultant business impacts.

• Managing massive textual data sets.

• Building advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.

• Collaborating with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.

• Submitting papers to top-tier academic conferences and journals and contributing to the broader scientific community by reviewing submissions.

Requirements include:

• Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.

• 2+ years of NLP industry experience for Master's degree holders or 1+ years for PhD degree holders.

• Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and technologies.

• A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.

• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

• Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.

• Familiarity with version control tools like Git for collaborative projects.

For exceptional talent based in Ontario, Canada the target base salary range for this position is $145,500-$172,500 CAD.

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As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You'll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.

This opportunity will allow you to:

• Accelerate your career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone your skills in building robust data pipelines and quality frameworks.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Design and implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
• Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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Microsoft are looking for a talented Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As an Applied Scientist in MAI, you would be responsible for data analysis, training and building models and shipping to production high quality experiences improving Bing products. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.

Accountabilities

• Conduct in-depth market research across AI sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Gain a basic understanding of a broad area of research and applicable research techniques

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Technical skills:

• Data analysis
• Model building

Personal attributes:

• Strong problem-solving skills
• Excellent communication skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for career growth and development

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Microsoft AI are looking for a talented Applied Scientist at their Beijing office. This role sits at the heart of semantic search across Microsoft, powering the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking.

About the Role

The Full Body Vectorization (FBV) Team is the engine powering semantic search across Microsoft. We own and operate the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking. We are now building Next-Generation Search Engine and Grounding system to lead the technical wave and improve the quality of Search, Copilot and all kinds of tools benefit from AI. As an Applied Scientist, you will apply state-of-the-art Research/ Industry Innovation s to benefit on Search/ Grounding quality with measurable business impact. You will explore big bets with mature thinking, ability to drive the direction from idea to the product ship on production. You will collaborate with product, algo and engineering partners across the world with clear communication to push the project move further.

Accountabilities

• Apply state-of-the-art Research/ Industry Innovation s to benefit on Search/ Grounding quality with measurable business impact.
• Explore big bets with mature thinking, ability to drive the direction from idea to the product ship on production.
• Collaborate with product, algo and engineering partners across the world with clear communication to push the project move further.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Prior experience with Research, Applied Science, Search / Recommedation or other solid experience on deep model training.
• Experience with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.
• Experience in pytorch or tensorflow.

Personal attributes:

• Solid coding ability for online system maintain/ update and feature change.
• Be sensitive to data. Help review design/ experiments/ pipelines with your expertise.

Benefits

• Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
• As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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Microsoft AI are looking for a talented Applied Scientist at their Suzhou office. This role sits at the heart of semantic search across Microsoft, powering the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking.

About the Role

The Full Body Vectorization (FBV) Team is the engine powering semantic search across Microsoft. We own and operate the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking. We are now building Next-Generation Search Engine and Grounding system to lead the technical wave and improve the quality of Search, Copilot and all kinds of tools benefit from AI.

Accountabilities

• Apply state-of-the-art Research/ Industry Innovation s to benefit on Search/ Grounding quality with measurable business impact.
• Explore big bets with mature thinking, ability to drive the direction from idea to the product ship on production.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Prior experience with Research, Applied Science, Search / Recommedation or other solid experience on deep model training.
• Experience with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.
• Experience in pytorch or tensorflow.

Personal attributes:

• Solid coding ability for online system maintain/ update and feature change.
• Keep learning and can help build sharing team culture with discussion and ideas from innovations.

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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