Senior Member of Technical Staff, MLE (Middle East)
WFA Digital Insight
As the demand for AI and machine learning specialists continues to soar, with a reported 28% increase in hiring over the past year, companies like Cohere are at the forefront of this revolution. In the current remote job market, skills in applied research, production, and large language models are in particularly high demand. With its mission to scale intelligence to serve humanity, Cohere stands out as a pioneer in the field. Candidates drawn to this role should be aware of the company's emphasis on diversity, inclusivity, and a passion for applied ML models. Before applying, it's crucial to understand the role's broad scope, from technical direction to cross-discipline collaboration, and how one's skills and experience align with Cohere's ambitious goals.
Job Description
About the Role
The Senior Member of Technical Staff position at Cohere represents a unique opportunity for experienced professionals to join a team of innovators who are redefining the boundaries of AI. As a key member of the Applied ML team, you will be working directly with customers to identify their most pressing challenges and develop innovative solutions using Large Language Models. This role is pivotal in bridging the gap between technological potential and real-world application, requiring a blend of technical expertise, creativity, and problem-solving ability. You will be part of a dynamic team that values diversity, inclusivity, and a shared passion for harnessing AI to serve humanity.Day-to-day, your responsibilities will span from planning and executing large-scale projects to mentoring a distributed team of engineers. Your expertise will be crucial in setting technical direction, developing solutions in collaboration with product teams, and engaging in strategic partnerships. This position demands not only technical prowess but also strong mentorship, communication, and problem-solving skills, as you will be working closely with cross-functional teams to drive projects from ideation to production.
Cohere's commitment to innovation and customer satisfaction means that you will have the opportunity to work on the forefront of AI research and development. With a focus on large language models and their applications, you will be at the heart of the company's mission to scale intelligence. This role offers the chance to make a significant impact, working in a fast-paced environment that values creativity, resilience, and a passion for AI.
What You Will Do
- Plan and execute large-group projects from ideation to production, ensuring seamless integration of technical and product strategies.
- Mentor a distributed team of engineers, providing subject matter expertise and identifying opportunities for growth and development.
- Develop and implement solutions using Large Language Models, addressing the most critical challenges faced by customers.
- Collaborate closely with product teams to design and deliver innovative products that leverage AI capabilities.
- Engage in strategic partnerships and collaborations to advance Cohere's mission and expand its impact.
- Assist in the preparation of patents for developed IP, protecting and promoting the company's technological advancements.
- Participate in cross-discipline teams to drive innovation and solve complex problems.
- Provide technical direction to build new or refine existing products, staying abreast of the latest advancements in AI and machine learning.
- Work closely with legal teams to ensure compliance and protection of intellectual property.
- Contribute to the development of the company's technical strategy, applying your expertise to drive growth and innovation.
What We Are Looking For
- Prior experience in leading ML teams in applied research and production, with a proven track record of delivering impactful projects.
- Experience in setting and executing technical direction, with the ability to build and refine existing products.
- Strong background in working cross-discipline in matrixed organizations, with excellent communication and collaboration skills.
- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
- Experience with large-scale distributed training and inference, with the ability to optimize models for performance and efficiency.
- Strong mentorship skills, with the ability to guide and develop junior engineers.
- A demonstrated passion for applied ML models and products, with a keen interest in staying updated on the latest advancements in AI.
- Working proficiency in Arabic, with the ability to communicate effectively with customers and partners in the Middle East.
- Bonus: Experience working for B2B companies in the ML space, with an understanding of the challenges and opportunities in this sector.
Nice to Have
- Experience with cloud platforms such as AWS or GCP, with the ability to deploy and manage large-scale ML models.
- Knowledge of ethical considerations in AI development, with a commitment to responsible AI practices.
- Participation in open-source projects related to AI and machine learning, demonstrating a willingness to contribute to the broader community.
- Experience in agile development methodologies, with the ability to work in fast-paced environments.
Benefits and Perks
- Competitive salary package, reflecting the importance of this role to Cohere's mission.
- Comprehensive health and dental benefits, including mental health support to ensure well-being.
- Full parental leave top-up for up to 6 months, supporting work-life balance.
- Personal enrichment benefits to support ongoing learning and development in arts, culture, fitness, and more.
- Remote-flexible work arrangement, with the option to work from Cohere's offices in various locations.
- Access to cutting-edge technologies and tools, staying at the forefront of AI research and development.
- Opportunity to work with a diverse team of experts, contributing to a culture of innovation and inclusivity.
How to Stand Out
- Ensure your resume and portfolio highlight specific examples of AI and machine learning projects you've led or contributed to, particularly those involving large language models.
- Develop a strong understanding of Cohere's products and mission, demonstrating your passion for applied ML and its potential to serve humanity.
- Prepare to discuss your experience with cross-discipline collaboration and how you've driven projects from ideation to production in previous roles.
- Be ready to provide examples of your problem-solving skills, particularly in scenarios where you've had to bridge technical and product strategies.
- Consider creating a personal project or contributing to an open-source AI initiative to demonstrate your expertise and commitment to the field.
- When discussing salary, be prepared to negotiate based on your experience and the value you can bring to the company, considering factors like location and industry standards.
- Look for red flags such as lack of transparency about the company's direction, unclear expectations, or insufficient resources for professional development.
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