At a Glance
- Tasks: Transform cutting-edge AI research into high-performance products on our secure platform.
- Company: Join Cohere, a leader in AI innovation with a diverse and collaborative team.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Work with top researchers and engineers in a dynamic, fast-paced environment.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong software engineering skills, proficiency in Python, and experience with ML frameworks.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- Extremely strong software engineering skills
- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
- Deep experience in building and leading a product-centric organisation
- Direct experience working as part of a team building Large Language Models
- Released multiple features with several iterations
- Strong track record of creating and curating large-scale datasets
- Experience using large-scale distributed training strategies
- Familiarity with autoregressive sequence models, such as Transformers
- Ability to collaborate effectively with human annotators and cross-functional teams
- Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
What the job involves
- At Cohere, our Members of Technical Staff are at the forefront of defining and shaping the future of AI-powered products.
- You will have the opportunity to translate cutting edge research into tangible, high-performance products that drive our enterprise forward.
- You will be working directly on North, Cohere’s all-in-one secure AI workspace platform, driving agent development in RAG, tool use, and language agents.
- Join a small, diverse team of engineers in designing, building, and scaling AI systems that underpin our suite of dev-centric enterprise products.
- Quickly research and experiment with novel ideas on our supercomputer and data infrastructure, ensuring our products remain at the forefront of the industry.
- Collaborate with top researchers, engineers, and annotators to create and evaluate data for post-training LLMs, ensuring our products are of the highest quality and performance.
- Engage with the latest AI and deep learning research, staying up to date with leading conferences such as NeurIPS, ICLR, and AAAI.
- Leverage product data to understand usage patterns and identify areas for improvement, ensuring our products remain relevant and competitive.
- Work closely with leadership to shape company strategy and goals, ensuring our product vision is aligned with our overall business objectives.
Member of Technical Staff (MLE, North) in London employer: Deepstreamtech
Cohere is an exceptional employer for those passionate about AI and software engineering, offering a dynamic work culture that fosters innovation and collaboration. With access to cutting-edge technology and a commitment to employee growth, team members can rapidly translate their ideas into impactful products while working alongside top-tier researchers and engineers. Located in a vibrant tech hub, Cohere provides unique opportunities to engage with the latest advancements in AI, ensuring that your contributions are both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (MLE, North) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and ML frameworks. We love seeing real-world applications of your work, so make sure to highlight any features you've released.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with large-scale datasets and LLMs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates ready to shape the future of AI.
We think you need these skills to ace Member of Technical Staff (MLE, North) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong software engineering skills and proficiency in Python. We want to see your experience with ML frameworks like Tensorflow and JAX, so don’t hold back on those details!
Talk About Your Experience:Share your deep experience in building product-centric organisations and working with Large Language Models. If you've released multiple features, let us know how you iterated on them – we love a good success story!
Collaboration is Key:We value teamwork, so mention any direct experience collaborating with cross-functional teams or human annotators. Show us how you’ve worked together to create high-quality products.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Showcase Your Technical Skills
Make sure to highlight your strong software engineering skills, especially in Python and ML frameworks like TensorFlow and JAX. Prepare to discuss specific projects where you've built or contributed to large language models, as this will demonstrate your hands-on experience.
✨Demonstrate Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've effectively collaborated with others, including human annotators. Discuss any challenges you faced and how you overcame them to achieve a common goal.
✨Stay Updated on AI Research
Familiarise yourself with the latest trends and breakthroughs in AI and deep learning. Mention any relevant papers you've read or conferences you've attended, such as NeurIPS or ICML, to show your commitment to staying at the forefront of the industry.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problem-solving questions during the interview. Brush up on your knowledge of autoregressive sequence models and distributed training strategies, and practice explaining your thought process clearly and concisely.
