The Senior Machine Learning Engineer is pivotal in shaping the future of our Automated Speech Recognition (ASR) technologies. The role is at the forefront of developing a sophisticated, scalable ASR service designed for a diverse range of clients. This role involves not just the creation of machine learning models but also their personalization and deployment, ensuring that our ASR solutions are not only cutting-edge but also finely tuned to the specific needs of each user. The position's expertise guides the team in building a platform that is robust, efficient, and at the vanguard of speech technology.

In this role, you will:

• Lead the architectural design and development of our comprehensive ASR service platform.
• Mentor and guide a team of talented machine learning engineers, fostering a culture of innovation and excellence.
• Collaborate closely with cross-functional teams, including product management and software engineering, to deliver integrated and effective solutions.
• Partner with systems and infrastructure teams to engineer production-grade deployments of models at scale.
• Spearhead research into novel machine learning techniques and their application to our ASR systems.
• Ensure the reliability, scalability, and performance of the ASR service, from development through to production.
• Drive the strategic direction of our ASR technology, aligning it with the company's long-term goals.

We would love to hear from you if:

• You have a M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• You have a minimum of 10 years of hands-on experience in machine learning, with a significant focus on ASR.
• You have expert-level proficiency in Python and deep familiarity with machine learning frameworks such as TensorFlow or PyTorch
• You have a deep understanding of the latest tools, standards, and best practices in software and model development.
• You have demonstrated experience in handling large-scale data processing and deploying machine learning models in cloud environments (e.g., AWS, GCP, Azure).
• You have familiarity with cloud technologies and MLOps principles, including Kubernetes and Docker.
• You have proven leadership capabilities and exceptional communication skills, with the ability to articulate complex technical concepts to a broad audience.

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