Software Engineer - Applied ML [Middle East]

As a Software Engineer - Applied ML at Cohere, your primary responsibilities will include engaging directly with customers to identify their challenges, designing and implementing tailored solutions utilizing Cohere's technology stack, and engaging in the entire product lifecycle. You will be tasked with building significant new areas within our product and collaborating across front-end and back-end systems, especially with Large Language Models.

To qualify for the Software Engineer - Applied ML role at Cohere, you should have proficiency in one or more programming languages such as Go, Python, Node.js, React, or Next.js. Additionally, experience in building machine learning infrastructure and AI-powered applications is crucial, alongside familiarity with frameworks for developing language models. Strong communication skills and a willingness to travel as needed are also important.

In the Software Engineer - Applied ML role at Cohere, you'll gain valuable skills in applying machine learning to real-world problems, enhancing your capabilities in developing AI solutions. Additionally, you'll improve your problem-solving and communication skills, learn to effectively engage with clients, and experience working within an agile environment on the cutting edge of AI technology.

Definitely! At Cohere, we encourage passionate candidates to apply for the Software Engineer - Applied ML position even if their experience doesn't perfectly align with all the listed qualifications. We value skills, creativity, and a strong desire to work on our mission of scaling intelligence for humanity.

Cohere fosters an open and inclusive culture, emphasizing collaboration, creativity, and a commitment to diversity. You'll work alongside a dedicated team that values your contributions and encourages continuous learning and personal growth while pushing the boundaries of AI research and development.

When answering this question, provide specific examples of projects you've worked on, detailing the technologies and frameworks used. Highlight your role in the development cycle and the impacts your work had on the project's success.

Discuss your methodical approach to problem-solving, such as breaking down the problem, researching existing solutions, collaborating with team members, and iterating on your designs to find the best outcome.

Be sure to describe the specific problem, the steps you took to address it, and the outcome. This showcases your technical skills along with your ability to learn and adapt.

Discuss your proficiency in languages relevant to the role, such as Go or Python, explaining what projects you've used them for and what you appreciate about their functionalities in the context of machine learning.

Share specific projects where you’ve interacted with Large Language Models, including the goals of the project, your contribution, and the results achieved. Reference key challenges and what you learned.

Talk about your approach to incorporating testing frameworks, conducting code reviews, and leveraging performance monitoring tools to ensure your solutions meet the highest standards of quality and efficiency.

Display your familiarity with Cohere's objectives, products, and culture. Highlight how aligning your values with the company's mission will motivate you to contribute effectively.

Share strategies you have implemented in managing deadlines, such as prioritization techniques, effective communication with team members, and seeking assistance when necessary.

Emphasize the importance of collaboration and share examples of how working with diverse teams have enhanced your work and led to successful project outcomes.

Discuss your aspirations for professional growth, whether it's honing your technical expertise, moving into leadership roles, or furthering your knowledge in AI and machine learning.