At a Glance
- Tasks: Design and develop innovative multimodal AI systems, integrating text, speech, and vision.
- Company: Cohere is a cutting-edge AI company focused on revolutionising technology through multimodal intelligence.
- Benefits: Enjoy remote flexibility, weekly lunch stipends, full health benefits, and 6 weeks of vacation.
- Why this job: Join a diverse team at the forefront of AI, shaping the future with your innovative ideas.
- Qualifications: Strong software engineering skills, proficiency in Python, and experience with deep learning frameworks required.
- Other info: Open to applicants worldwide; we celebrate diversity and inclusivity in our hiring process.
The predicted salary is between 48000 - 84000 £ per year.
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what\’s possible, and we\’re looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI.
As a Member of Technical Staff with a focus on Multimodal AI, you will:
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Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision.
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Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more.
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Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field.
You are an ideal candidate if you:
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Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems.
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Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities.
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Knowledge of distributed training strategies, especially for large-scale multimodal models.
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Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation.
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Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research.
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Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks.
This role is perfect for you if you:
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Have a deep passion for machine learning and its potential to impact various industries through multimodal applications.
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Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance.
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Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
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Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.
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Have a history of delivering creative, practical solutions to real-world problems, demonstrating your ability to think outside the box.
If you\’re excited about the potential of multimodal AI and want to be at the forefront of this rapidly evolving field, we want to hear from you! Join us at Cohere and be a part of a diverse, remote-friendly team that\’s changing the world of AI.
Please Note: We have offices in Toronto, London, San Francisco, and New York, but we welcome applications from anywhere in the world. Our team is spread across the globe, and we embrace the benefits of a remote-friendly culture.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
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 6 months for employees based in Canada, the US, and the UK
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 and London and co-working stipend
️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
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Senior Member of Technical Staff, Multimodal AI employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Member of Technical Staff, Multimodal AI
✨Tip Number 1
Familiarise yourself with the latest advancements in multimodal AI. Follow relevant research papers and industry news to understand current trends and challenges. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those working on multimodal systems. Attend conferences, webinars, or local meetups to connect with like-minded individuals and learn from their experiences.
✨Tip Number 3
Showcase your passion for machine learning by contributing to open-source projects or writing articles about your experiences with multimodal AI. This demonstrates your commitment to the field and can make you stand out to potential employers.
✨Tip Number 4
Prepare to discuss your technical skills in-depth, particularly your experience with Python and deep learning frameworks. Be ready to share specific examples of projects where you've successfully implemented multimodal solutions.
We think you need these skills to ace Senior Member of Technical Staff, Multimodal AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering skills and experience with multimodal AI systems. Include specific projects where you've used Python, JAX, PyTorch, or TensorFlow, and mention any relevant publications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and multimodal applications. Discuss how your background aligns with Cohere's mission and the specific role, showcasing your innovative ideas and problem-solving abilities.
Showcase Relevant Experience: When detailing your work experience, focus on your achievements in building scalable systems and optimising performance for multimodal tasks. Highlight any experience with distributed training strategies and autoregressive models.
Prepare for Technical Questions: Anticipate technical questions related to multimodal AI and deep learning frameworks. Be ready to discuss your approach to tuning large models and resolving issues in complex ML codebases, as these topics may come up during interviews.
How to prepare for a job interview at Cohere
✨Showcase Your Technical Skills
Be prepared to discuss your software engineering experience in detail. Highlight your proficiency in Python and any deep learning frameworks you've worked with, such as JAX, PyTorch, or TensorFlow. Bring examples of projects where you integrated multimodal capabilities.
✨Demonstrate Your Passion for AI
Express your enthusiasm for machine learning and its applications in multimodal AI. Share specific instances where you've explored innovative ideas or contributed to projects that pushed the boundaries of technology.
✨Prepare for Technical Challenges
Expect to tackle complex technical questions or coding challenges during the interview. Brush up on distributed training strategies and be ready to discuss how you've optimised performance for large-scale models in the past.
✨Emphasise Collaboration and Learning
Cohere values teamwork and knowledge sharing. Be ready to discuss how you've collaborated with others in previous roles, what you've learned from those experiences, and how you can contribute to a diverse team environment.