Description

Job Summary: We are seeking a highly skilled and experienced Machine Learning (ML) Application Engineer Team Lead to spearhead the development of reference applications in computer vision and large language models (LLMs). This role involves designing and implementing robust ML pipelines utilized by both our customers and internal teams to evaluate and benchmark our hardware/platform. The ideal candidate will lead a team of four engineers, each focusing on individual applications, ensuring synchronization and cohesive progress across projects.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of four ML engineers, fostering a collaborative environment that encourages innovation and professional growth.
• Application Development: Oversee the design and development of reference applications in computer vision and LLMs, ensuring they meet industry standards and client requirements.
• Pipeline Engineering: Develop and optimize ML pipelines for vision and LLM applications, facilitating seamless integration and deployment for customers and internal assessments.
• Performance Evaluation: Lead efforts to benchmark our hardware/platform's performance against competitors, providing insights and recommendations for continuous improvement.
• Cross-Project Coordination: Ensure alignment and effective communication among team members, synchronizing efforts across various application projects.
• Stakeholder Collaboration: Work closely with product managers, hardware engineers, and other stakeholders to align application development with business objectives and technological advancements.

Requirements

Qualifications:

• Educational Background: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Experience: Minimum of 3 years leading ML teams in a production environment, with a focus on computer vision and LLM applications.
• Technical Proficiency: Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Pipeline Development: Proven experience in designing and implementing ML pipelines to deployment from open-source examples.
• Benchmarking Expertise: Familiarity with performance evaluation techniques and tools for assessing hardware and software platforms.
• Leadership Skills: Demonstrated ability to lead, mentor, and coordinate a team of engineers, ensuring project alignment and timely delivery.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse stakeholders.

Preferred Qualifications:

• Industry Knowledge: Understanding of the competitive landscape in ML hardware and software platforms.
• Project Management: Experience in managing multiple projects simultaneously, with a track record of successful project delivery.
• Continuous Learning: Commitment to staying updated with the latest advancements in ML technologies and applications.