Senior Member of Technical Staff - Multimodal AI

Senior Member of Technical Staff - Multimodal AI

Full-Time Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and develop cutting-edge multimodal AI systems that integrate text, speech, and vision.
  • Company: Join Cohere, a leading tech company revolutionising AI with a diverse and passionate team.
  • Benefits: Enjoy competitive salary, health benefits, remote work options, and generous vacation time.
  • Other info: Remote-friendly culture with global offices and a commitment to diversity and inclusion.
  • Why this job: Be at the forefront of multimodal AI and make a real impact on technology's future.
  • Qualifications: Strong software engineering skills, experience with Python, and knowledge of deep learning frameworks.

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.
  • Have 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. 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 want to work really hard on a glorious mission with teammates that want the same thing, 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 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

Senior Member of Technical Staff - Multimodal AI employer: Dormont Manufacturing Co

Cohere is an exceptional employer that champions innovation and diversity in the rapidly evolving field of multimodal AI. With a remote-friendly culture and offices in major cities like London, employees benefit from a collaborative environment, generous perks including a weekly lunch stipend, comprehensive health benefits, and six weeks of vacation, all while working alongside some of the brightest minds in AI research. Join us to not only advance your career but also contribute to meaningful projects that shape the future of technology.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Member of Technical Staff - Multimodal AI

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Dormont Manufacturing Co or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Dormont Manufacturing Co.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Dormont Manufacturing Co.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Dormont Manufacturing Co that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Member of Technical Staff - Multimodal AI

Software Engineering
Python
Deep Learning Frameworks (JAX, PyTorch, TensorFlow)
Multimodal AI Systems Design
Distributed Training Strategies
Autoregressive Models
Image and Video Captioning

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dormont Manufacturing Co.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dormont Manufacturing Co uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.