AI Research Scientist Multimodal VLM and MLLM
AI Research Scientist Multimodal VLM and MLLM

AI Research Scientist Multimodal VLM and MLLM

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct groundbreaking AI research and develop innovative ML models.
  • Company: Join Autodesk, a leader in creative software solutions.
  • Benefits: Competitive salary, bonuses, stock options, and comprehensive benefits.
  • Why this job: Shape the future of design and technology with cutting-edge AI.
  • Qualifications: Master's or PhD in AI/ML-related fields and strong coding skills.
  • Other info: Collaborative culture with opportunities for growth and impact.

The predicted salary is between 36000 - 60000 £ per year.

**Job Requisition ID #**25WD91668**AI Research Scientist/Engineer (Multimodal)****Position Overview**As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab.**Responsibilities**· Develop new ML models and AI techniques· Lead on research projects within a global team· Review relevant AI/ML literature to identify emerging methods, technologies, and best practices.· Explore new data sources and discover techniques for best leveraging data**Minimum Qualifications**· A Master\’s or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines· Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)· Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)· Familiarity with PyTorch, PyTorch Lightning, or similar frameworks· Strong coding abilities in Python· Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms.· Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs· Publication track record in machine learning conferences and/or journals**Preferred Qualifications**· Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)· Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding· Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma#LI-JK3****Learn More******About Autodesk**Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.**Salary transparency**Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.**Diversity & Belonging** We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

AI Research Scientist Multimodal VLM and MLLM employer: Autodesk, Inc.

At Autodesk, we are committed to fostering a vibrant work culture that encourages innovation and collaboration among our diverse team of scientists, engineers, and designers. As an AI Research Scientist, you will have access to cutting-edge resources and opportunities for professional growth, all while contributing to meaningful projects that shape the future of design and technology. Our comprehensive benefits package, along with a strong emphasis on diversity and belonging, makes Autodesk an exceptional employer for those looking to make a significant impact in the field of AI research.
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Contact Detail:

Autodesk, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Research Scientist Multimodal VLM and MLLM

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, research papers, and any cool AI models you've developed. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Autodesk.

We think you need these skills to ace AI Research Scientist Multimodal VLM and MLLM

Machine Learning (ML)
Deep Learning
Custom Model Architecture Development
Model Performance Optimisation
Novel Loss Functions Development
Statistical Methods for Machine Learning
Bayesian Methods
HMMs
Graphical Models
Dimension Reduction
Clustering
Classification Techniques
Regression Techniques
PyTorch
Python Programming
Software Development
MLOps
Git
High-Performance ML Systems
Transformers
Large Language Models (LLMs)
Natural Language Processing (NLP)
Multi-modal Deep Learning
Publication in Machine Learning Conferences

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your background in AI/ML, especially any projects or research that align with the role of an AI Research Scientist.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your unique experiences make you a great fit for our team. Don’t just repeat your CV; give us insights into your motivations and aspirations.

Showcase Your Projects: If you've worked on relevant projects, whether in academia or industry, make sure to include them. We love seeing practical applications of your skills, especially in areas like deep learning and multimodal systems.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Autodesk, Inc.

✨Know Your Stuff

Make sure you brush up on the latest trends and techniques in AI and ML, especially those related to multimodal learning and VLMs/MLLMs. Familiarise yourself with key papers and breakthroughs in the field, as this will show your passion and commitment during the interview.

✨Showcase Your Projects

Prepare to discuss your previous research or projects in detail. Highlight your experience with deep learning techniques, custom architectures, and any relevant publications. Be ready to explain your thought process and the impact of your work on real-world applications.

✨Practice Problem-Solving

Expect technical questions that assess your coding skills and understanding of machine learning concepts. Practise coding challenges in Python and be prepared to solve problems on the spot, demonstrating your ability to think critically and creatively under pressure.

✨Cultural Fit Matters

Research Autodesk's culture and values. Be ready to discuss how your personal values align with theirs, especially regarding innovation and collaboration. Showing that you understand and appreciate their culture can set you apart from other candidates.

AI Research Scientist Multimodal VLM and MLLM
Autodesk, Inc.
Location: London

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