Member of Technical Staff, MLE (UK/EU)
WFA Digital Insight
The demand for skilled AI professionals grew significantly in recent years, with over 50% of companies adopting AI solutions. Cohere, a leader in AI research, is looking for a Member of Technical Staff, MLE, to drive innovation. With the rise of remote work, companies like Cohere are seeking candidates with strong technical skills, problem-solving abilities, and experience in applied ML. As the AI job market continues to evolve, candidates with expertise in large language models and cross-discipline collaboration will be in high demand. Before applying, candidates should be prepared to demonstrate their passion for AI, technical expertise, and ability to work in a fast-paced environment.
Job Description
About the Role
As a Member of Technical Staff, MLE, at Cohere, you will be part of a team of researchers, engineers, and designers who are passionate about AI. Your primary focus will be on working directly with customers to understand their problems and design solutions using large language models. You will lead projects from ideation to production, collaborating with cross-functional teams to drive innovation.The role requires a strong technical background, excellent problem-solving skills, and experience in applied ML. You will be working closely with customers to identify opportunities and gaps in existing models, strategizing solutions, and implementing them. Your technical expertise, creativity, and ability to work in a fast-paced environment will be essential in driving success.
Cohere is committed to creating a diverse and inclusive work environment, and this role is an excellent opportunity for candidates who are passionate about AI and want to be part of a team that is shaping the future.
What You Will Do
- Plan and execute large-group projects from ideation to production
- Collaborate with customers to understand their problems and design solutions using large language models
- Work closely with cross-functional teams, including engineering, product, and other disciplines
- Identify opportunities and gaps in existing models and strategize solutions
- Develop and implement new models, tools, and processes to drive innovation
- Mentor a distributed team of engineers in subject matter expertise
- Assist in the preparation of patents on developed IP
- Engage in collaborations with partner organizations
- Work closely with product teams to develop solutions
- Apply problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption
What We Are Looking For
- Prior experience in leading ML teams in applied research and production
- Prior experience in setting and executing technical direction to build new or refine existing products
- Prior experience in working cross-discipline in matrixed organizations
- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
- Experience using large-scale distributed training and inference
- Strong mentorship, communication, and problem-solving skills
- A demonstrated passion for applied ML models and products
- Experience in working with large language models
- Familiarity with Agile development methodologies
Nice to Have
- Experience working for B2B companies in the ML space
- Knowledge of cloud-based ML platforms such as AWS SageMaker or Google Cloud AI Platform
- Experience with containerization using Docker
- Familiarity with CI/CD pipelines and automation tools
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health and dental benefits
- Parental leave top-up for up to 6 months
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible work arrangement with offices in London and other locations
- Access to cutting-edge technology and tools
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
How to Stand Out
- Make sure to highlight your experience with large language models and applied ML in your resume and cover letter.
- Prepare to talk about your problem-solving skills and how you have applied them in previous roles.
- Showcase your passion for AI and Machine Learning, and be ready to discuss current trends and innovations in the field.
- Emphasize your ability to work in a fast-paced environment and collaborate with cross-functional teams.
- Be prepared to provide examples of your experience with Agile development methodologies and CI/CD pipelines.
- Demonstrate your knowledge of cloud-based ML platforms and containerization using Docker.
- Be ready to discuss your experience with large-scale distributed training and inference.
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