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Senior Member of Technical Staff - Multimodal AI

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:

  • 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.

You are an ideal candidate if you:

  • Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems.

  • 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.

  • 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.

  • Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research.

  • Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks.

This role is perfect for you if you:

  • Have a deep passion for machine learning and its potential to impact various industries through multimodal applications.

  • Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance.

  • Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.

  • Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.

  • 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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What You Should Know About Senior Member of Technical Staff - Multimodal AI, Cohere

Are you ready to take your career to the next level as a Senior Member of Technical Staff - Multimodal AI at Cohere in London? We are on a mission to scale intelligence that serves humanity, and we believe that implicit in this quest is the groundbreaking world of multimodal AI. At Cohere, our engineering teams are the pioneers of innovation, pushing the boundaries of what’s feasible and creating magical experiences through cutting-edge technology. As part of our dynamic and passionate team, you will design and develop advanced multimodal AI systems that bring together text, speech, and vision. If you have exceptional software engineering skills and are proficient in frameworks like JAX, PyTorch, and TensorFlow, you're already a strong fit! You'll conduct research and experiments on our robust compute infrastructure, collaborate with world-class professionals, and really make your mark in the field. We value diversity and are committed to creating an inclusive environment where every idea counts. So, if you're excited to dive deep into multimodal representation learning and drive forward innovative solutions in AI, Cohere is the perfect fit for you. With the support of a global, remote-friendly team, and a unique offering of perks that include generous parental leave, mental health support, and six weeks of vacation, we can't wait to see the future you will help us build!

Frequently Asked Questions (FAQs) for Senior Member of Technical Staff - Multimodal AI Role at Cohere
What are the primary responsibilities of the Senior Member of Technical Staff - Multimodal AI at Cohere?

As a Senior Member of Technical Staff - Multimodal AI at Cohere, your main responsibilities will include designing and developing cutting-edge multimodal AI systems by integrating text, speech, and vision modalities. You'll also conduct extensive research exploring novel ideas in multimodal representation learning and collaborate closely with our talented engineering teams to push the boundaries of what AI can achieve.

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What qualifications are required for the Senior Member of Technical Staff - Multimodal AI position at Cohere?

To qualify for the Senior Member of Technical Staff - Multimodal AI role at Cohere, candidates should possess exceptional software engineering skills and have a proven track record in building robust, scalable systems. A deep understanding of Python, alongside experience with deep learning frameworks like JAX, PyTorch, and TensorFlow, is essential. Knowledge in distributed training strategies and familiarity with autoregressive models will greatly enhance your application.

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What kind of experience is beneficial for a Senior Member of Technical Staff - Multimodal AI at Cohere?

Experience with multimodal applications, particularly in areas like image or video captioning and speech-to-text generation, is beneficial for a Senior Member of Technical Staff - Multimodal AI at Cohere. Additionally, having publications in top-tier venues showcasing your expertise and experience in writing efficient GPU kernels using CUDA will set you apart as a candidate.

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How does Cohere support the professional growth of its Senior Members of Technical Staff - Multimodal AI?

At Cohere, we place a strong emphasis on the growth of our team members. As a Senior Member of Technical Staff - Multimodal AI, you will have ample opportunities to conduct research, collaborate with world-class experts, and contribute to pioneering projects. We also foster an open and inclusive culture where innovative ideas are celebrated, ensuring that you can flourish both personally and professionally.

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What benefits and perks does Cohere offer to full-time Senior Members of Technical Staff - Multimodal AI?

Cohere offers an array of perks to full-time Senior Members of Technical Staff - Multimodal AI, including an open and inclusive culture, a weekly lunch stipend, comprehensive health and dental benefits, and a 100% parental leave top-up for six months. Additionally, team members can enjoy personal enrichment benefits, a co-working stipend, and six weeks of vacation to ensure a balanced work-life experience.

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Common Interview Questions for Senior Member of Technical Staff - Multimodal AI
Can you explain your experience with multimodal AI technologies?

When answering this question, highlight specific projects where you've successfully integrated various modalities such as text, audio, and visual data. Discuss the tools or frameworks you've utilized, and perhaps touch on the challenges you faced and how you overcame them to emphasize your problem-solving skills.

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How do you approach designing robust AI systems?

In your response, discuss your methodology for creating robust AI systems, including steps such as requirements gathering, system architecture design, and your approach to ensuring system scalability. It’s beneficial to provide an example from your past work where you implemented these practices.

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Describe a time you had to troubleshoot a complex ML model.

Focus on a specific instance where you encountered a challenging issue while working on a machine learning model. Outline the problem, the steps you took to identify the cause, and how you resolved the issue. This demonstrates your analytical thinking and technical skills.

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What is your experience with distributed training strategies?

When addressing this question, discuss any hands-on experience you have with distributed training frameworks and how they can improve performance for large-scale models. Include any specific results or improvements you've achieved through these strategies.

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How do you stay updated on the latest advancements in AI and machine learning?

Talk about the resources you rely on to stay current, such as research journals, conferences, online courses, and professional networks. This shows that you're proactive in your career development and passionate about the field.

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How would you optimize a multimodal AI model for performance?

Here, you can discuss various optimization techniques that you have applied in previous experiences, such as hyperparameter tuning, using advanced architectures, or employing techniques like pruning or quantization to enhance efficiency.

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What encourages your passion for multimodal AI?

Share your personal experiences or moments that sparked your interest in multimodal AI. Discuss the potential you see in this field to impact industries and society, connecting your passion to the role at Cohere.

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What role do you think collaboration plays in successful AI projects?

Emphasize the importance of teamwork and collaboration in AI projects, given the interdisciplinary nature of the field. Provide examples from previous roles where collaboration led to successful outcomes and innovative solutions.

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Can you discuss any significant research work you have published?

Highlight relevant publications and discuss the key contributions of your work. Explain how this research is connected to the multimodal AI focus at Cohere and how it prepares you for the Senior Member of Technical Staff role.

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What unique skills do you bring to the Senior Member of Technical Staff - Multimodal AI position at Cohere?

In your response, mention both technical and interpersonal skills that set you apart, such as specialized knowledge in certain AI frameworks, expertise in a niche area of multimodal AI, or strengths in project management or communication that would enhance the team's performance.

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Cohere, founded by AI pioneers, offers a leading enterprise AI platform that combines ease-of-use, data privacy, and unparalleled flexibility with its cloud-agnostic and API-accessible services,

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Full-time, remote
DATE POSTED
December 4, 2024

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