Member of Technical Staff (Audio) Job at Microsoft Corporation (Zürich)

Member of Technical Staff - ML Research Engineer, Multi-Modal - Audio

Our Audio team is building frontier speech-language models that handle STT, TTS,...

Location

United States , San Francisco, Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Strong programming fundamentals with demonstrated ability to write clean, maintainable, production-grade code
Experience building and shipping production ML systems beyond model training (data pipelines, evals, serving infrastructure)
Proficiency in PyTorch and familiarity with distributed training frameworks (DeepSpeed, FSDP, or similar)
Track record of collaborating effectively in shared codebases with high engineering standards

Job Responsibility

Build and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering at scale
Design, implement, and maintain evaluation systems that measure multimodal performance across internal and public benchmarks
Fine-tune and adapt audio models for customer-specific use cases, owning delivery from requirements through deployment
Contribute production code to the core audio repository, collaborating with infrastructure and research teams
Support experimentation under real hardware constraints, shifting between customer work and core development as priorities evolve

What we offer

Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year

Fulltime

Member of Technical Staff, AI Data - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
OR equivalent experience
Expertise in large scale data engineering ideally applied to AI
Expertise in Spark, Kubernetes or similar

Job Responsibility

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models
Embody our culture and values

Fulltime

Member of Technical Staff

The Microsoft AI Superintelligence (MAIST) Post Training team is dedicated to ad...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate OR equivalent experience
Significant experience in large-scale model training, data curation, and hands-on coding, ideally from leading research labs
Deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Ability to develop LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks
Self-driven, able to write efficient code and debug training jobs, document findings, and demonstrate a track record in these fields
Curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff

The Microsoft AI Superintelligence (MAIST) Post Training team is dedicated to ad...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in relevant field AND 1+ year(s) related research experience OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff - Post-Training

This Microsoft AI Superintelligence Post-Training team is dedicated to advancing...

Location

United States , Redmond

Salary:

84200.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree (complete or in progress) in relevant field AND 3+ months related research internship experience OR Master's Degree in relevant field OR equivalent experience
Software engineering skills with fluency in Python and modern data libraries
The 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

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff - Post-Training

This Microsoft AI Superintelligence Post-Training team is dedicated to advancing...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in relevant field OR equivalent experience
Software engineering skills with fluency in Python and modern data libraries
The 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

Job Responsibility

Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models
run ablation studies to measure impact and optimize data effectiveness
Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance
identify gaps and propose improvements
Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact
Embody our Culture and Values

Fulltime

Member of Technical Staff - Data Infra - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...

Location

United States , Mountain View

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
OR equivalent experience

Job Responsibility

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
Own and maintain critical data infrastructures, including spark, ray, vector databases, and others
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
Embody our culture and values

Fulltime

Member of Technical Staff - ML Engineer / Scientist (JP Localization)

At Liquid, we’re not just building AI models—we’re redefining the architecture o...

Location

Japan , Tokyo

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Deep understanding of the Japanese model evaluation landscape and familiarity with Japanese pre-training data sources
Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs

Job Responsibility

Identify, collect, and curate diverse high-quality Japanese text, audio, and multimodal datasets
Design methods to synthetically generate or augment Japanese training data when needed
Ensure datasets meet enterprise-grade quality, coverage, and compliance requirements
Train and fine-tune language and vision models to achieve state-of-the-art performance for Japanese enterprise use cases
Adapt existing LFMs for Japanese language, culture, and enterprise-specific workflows
Implement evaluation frameworks to benchmark model quality on Japanese datasets
Design evaluation datasets and metrics for Japanese enterprise applications
Conduct thorough error analysis and iteratively improve model performance
Ensure robustness, fairness, and reliability in Japanese-language outputs

What we offer

Hands-on experience with state-of-the-art technology at a leading AI company
The opportunity to directly shape foundation model performance in one of the world’s most complex and nuanced languages
A collaborative, fast-paced environment where your work drives the next generation of LFMs

Fulltime

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Member of Technical Staff (Audio)

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Member of Technical Staff (Audio)

Member of Technical Staff - ML Research Engineer, Multi-Modal - Audio

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Member of Technical Staff - ML Engineer / Scientist (JP Localization)

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