Engineering Manager, Vision And Multimodality LLM

Job Summary

We are looking for a world-class engineering leader to guide a team of talented Machine Learning engineers and researchers driving the development & innovation of our vision technology. One must thrive in a fast-paced environment, where you'll work closely with cross-functional teams to optimize performance and drive velocity. Leveraging cutting-edge techniques, you will play a vital  role in our overall success in deploying state of the art AI capabilities all around the globe.

Responsibilities 

• Lead and mentor a team high-performing team of machine learning engineers in a fast-paced environment, providing technical guidance, mentorship, and support to drive their professional growth and development.
• Oversee the rapid development and implementation of machine learning models, leveraging advanced algorithms and techniques to optimize performance.
• Collaborate closely with cross-functional teams, including product managers, software engineers, and data engineers, to deliver data-driven insights and recommendations that enhance our solutions in an agile environment.
• Stay at the forefront of industry trends, emerging technologies, and best practices in machine learning, vision and MLOps. Apply this knowledge to drive innovation, meet tight deadlines, and maintain a competitive edge.
• Establish and maintain strong relationships with stakeholders, providing clear  communication of technical concepts and findings to both technical and non-technical audiences.

Skills & Qualifications

• Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.
• 10+ years of experience in Machine Learning, with a focus in vision.
• 5+ years proven success in technical leadership, while delivering impactful projects across the organization.
• Strong expertise in machine learning algorithms, and data analysis techniques.
• Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch, Tensorflow, or JAX. 
• Strong communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders in a fast-paced context.
• Experience and familiarity with production ML environments, including model release, evaluation and monitoring. 

Preferred Qualifications

• Track record of published ML papers and/or blogs.
• Track record of engagement with open-source ML community.
• Experience with Vision applications in AI for Science, Oil and Gas, or medical imaging. 
• Experience with Vision and Multi-modal foundation models such as Stable Diffusion, ViT and CLIP.
• Experience with performance optimization of ML models.
• 2+ years of experience in a startup environment.

Annual Salary Range and Level

The base salary for this position ranges from $190,000/year up to $215,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.