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

New

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, 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

New

Member of technical staff - Research - Model

H exists to push the boundaries of superintelligence with agentic AI. By automat...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Strong programming skills (Python, Git)
Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
Experience with large-scale distributed training of LLMs and VLMs
Hands-on experience with LLM training, alignment, and reinforcement learning
Knowledge of multimodal architectures and applications
Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
Excellent communication and presentation skills
Strong collaboration and teamwork skills
Passion for AI and problem-solving

Job Responsibility

Develop and train advanced LLMs and VLMs, including multimodal architectures
Research and implement training methods for enhanced capabilities like instruction following and tool use
Design and optimize data pipelines and training systems for large-scale distributed training
Collaborate with cross-functional teams to integrate models into agentic AI systems
Evaluate model performance and communicate findings to stakeholders
Stay current with advancements in LLMs, VLMs, and related fields

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

New

Member of Technical Staff - Distributed Training Engineer

Our Training Infrastructure team is building the distributed systems that power ...

Location

United States , San Francisco; Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Hands-on experience building distributed training infrastructure (PyTorch Distributed DDP/FSDP, DeepSpeed ZeRO, Megatron-LM TP/PP)
Experience diagnosing performance bottlenecks and failure modes (profiling, NCCL/collectives issues, hangs, OOMs, stragglers)
Understanding of hardware accelerators and networking topologies
Experience optimizing data pipelines for ML workloads

Job Responsibility

Design and build core systems that make large training runs fast and reliable
Build scalable distributed training infrastructure for GPU clusters
Implement and tune parallelism/sharding strategies for evolving architectures
Optimize distributed efficiency (topology-aware collectives, comm/compute overlap, straggler mitigation)
Build data loading systems that eliminate I/O bottlenecks for multimodal datasets
Develop checkpointing mechanisms balancing memory constraints with recovery needs
Create monitoring, profiling, and debugging tools for training stability and performance

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

New

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

Member of Technical Staff, AI Multimodal

Microsoft Corporation

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 06, 2026

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Job Posted:January 06, 2026

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