Member of Technical Staff, AI Multimodal Job at Microsoft Corporation (London)

Member of Technical Staff, AI Training Infrastructure

As a Training Infrastructure Engineer, you'll design, build, and optimize the in...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)

Job Responsibility

Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments

What we offer

meaningful equity in a fast-growing startup
comprehensive benefits package

Fulltime

Member of Technical Staff, Research

As a Member of Technical Staff on the Research team, you’ll push the boundaries ...

Location

United States , San Mateo

Salary:

175000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research to audiences with different backgrounds
Experience coding in C/C++, Python, or other similar languages

Job Responsibility

Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems
Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
Collaborate with engineering teams to transition research prototypes into production-grade systems
Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Senior Member of Technical Staff, Multimodal AI

At Cohere, we believe in the power of multimodal AI to revolutionise the way we ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Exceptional software engineering skills with a proven track record of building robust and scalable systems
Strong command of Python and well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities
Knowledge of distributed training strategies, especially for large-scale multimodal models
Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation

Job Responsibility

Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision
Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more
Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff, AI Multimodal - MAI Superintelligence Team

At Microsoft AI, we are on a mission to train the world’s most capable AI fronti...

Location

Switzerland , Zürich

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 Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
Expertise in multimodal Research with a strong publishing track record
Proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects
Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
Experience and/or in-depth understandings about large-scale distributed systems
Ability to work collaboratively in a fast-paced, innovative environment

Job Responsibility

Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not
Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
Innovate and iterate over ideas, prototypes, and product
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
Advance the AI frontier responsibly
Embody our culture and values

Fulltime

Member of Technical Staff - Multimodal

Join Microsoft AI in building one of the world’s most advanced foundation models...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Proven expertise, demonstrated through impactful publications or technical leadership on high-scale projects
Strong analytical skills, attention to detail, and a data-driven approach to decision-making
Experience with large-scale distributed systems and scalable architectures
Ability to thrive in fast-paced, collaborative environments and embrace innovation

Job Responsibility

Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not
Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
Innovate and iterate over ideas, prototypes, and product
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
Advance the AI frontier responsibly
Embody our culture and values

Fulltime

Member of Technical Staff, Multimodal Infrastructure

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructu...

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, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience in multi-modal data processing: Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
Experience with state-of-art model inference and serving frameworks
Experience with image/video/audio data processing
Experience with common data formats for efficient I/O
Experience in multi-modal pretraining and post-training: Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
Knowledge of auto-regressive and diffusion transformer models
Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
Proven experiences in at least one of the following areas: image/video generation and editing
efficient architectures (e.g., MoE, window attention)

Job Responsibility

Design, develop and maintain large-scale multimodal data processing pipelines
Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks
Design, develop and maintain large-scale multimodal model inference and serving frameworks
Work with research scientists and product engineers to solve infra-related problems
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

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, Data Research Engineer

We are seeking Data Research Engineers to join our Multimodal team, where we are...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
OR equivalent experience
Experience in data analysis or data engineering
Proficiency in statistics and exploratory data analysis methods
Ability to communicate technical findings effectively to research and product teams

Job Responsibility

Create high-quality datasets for training and evaluation
run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
Build lightweight tools and workflows for dataset auditing, visualization, and versioning
Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices

Fulltime

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Member of Technical Staff, AI Multimodal

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