Role Overview:

Ema is on the lookout for a highly skilled and experienced Staff Machine Learning Engineer to spearhead the development of next-generation AI technologies. This role is pivotal in driving the evolution of EmaFusion™ and other proprietary models to empower enterprises globally by enhancing productivity through AI-driven automation. As a Staff Machine Learning Engineer, you will lead complex projects that blend deep learning with practical applications, ensuring that Ema's AI systems are at the forefront of innovation.

Roles and Responsibilities:

• Lead the design, development, and deployment of state-of-the-art machine learning models, with a strong emphasis on scalability and reliability across various enterprise use cases.

• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate business requirements into actionable ML solutions.

• Drive the innovation and enhancement of EmaFusion™ and Generative Workflow Engine™ (GWE) by integrating cutting-edge research into real-world applications.

• Mentor and guide junior engineers and data scientists, fostering a culture of knowledge sharing and continuous learning within the team.

• Ensure the robustness and security of machine learning models by implementing best practices in data protection and compliance with international standards.

• Contribute to strategic planning by identifying new opportunities for machine learning applications within the enterprise ecosystem, and aligning them with the company's long-term vision.

• Communicate complex technical concepts and project updates to both technical and non-technical stakeholders through presentations, reports, and documentation.

Qualifications:

• PhD in Computer Science, Machine Learning, or a related field; or a Master’s degree with 8+ years of relevant experience.

• 10+ years of hands-on experience in designing and deploying machine learning models in production environments, with a proven track record of delivering scalable solutions.

• Proficiency in programming languages such as Python, Java, or C++, and extensive experience with deep learning frameworks like TensorFlow, PyTorch, or similar.

• Expertise in neural networks, reinforcement learning, and generative models with a solid understanding of their practical applications in large-scale systems.

• Experience working with large datasets and distributed computing systems, with a focus on optimization and performance tuning.

• Strong problem-solving skills, with the ability to navigate complex challenges and devise innovative solutions that drive the company's AI capabilities forward.

• Excellent communication skills, with the ability to convey technical information clearly and effectively to diverse audiences.

• A strong publication record in top-tier conferences or journals, and experience in patenting innovative solutions is highly desirable.

Why Join Ema:

At Ema, we are building the future of work by leveraging AI to empower enterprises worldwide. You will be part of a dynamic and diverse team that values creativity, innovation, and a deep commitment to excellence. Join us in shaping the future of AI technology, where your work will directly impact the productivity and success of global enterprises. We offer competitive compensation, a collaborative work environment, and the opportunity to work alongside some of the brightest minds in the industry.