Machine Learning Engineer

Skills

Work with Sales and Engineering members to support customers and help develop technical solutions for BrainChip Akida Neuromorphic IP NPU System-on-Chip (NSoC) and software that enables full front to back solutions from training to edge-based deployment. Helps define deliverables and work in tandem with the customer engagement and engineering teams to produce and deliver workflows products and services for both BrainChip current and future customers as well as eco-systems partners. Work closely with Product Sales Engineering and Advanced Research to optimize efficiency and effectiveness in technology handoff for commercialization and delivery. As a team member gaining fundamental knowledge related to machine learning functions and field deployments of NPU IP and use cases. Be a critical part of the customer engineering team developing workflows and procedures for implementing models into a process so that customers have an easy well documented process. Working with the other AI/ML and HW/SW team members to clearly define the hardware and s/w tool roadmap with critical milestones dependencies to meet milestones that are agreed upon.

Description

A principal goal for the Sr. AI/ML Engineering is to bridge core engineering activities into commercialization efforts. This includes technical analyzing and building models, starting with the pipeline, training and deployment to Akida Edge based hardware. This is a hands-on position, working as team member in resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain working, technical knowledge of our client’s core technologies in order to provide full top level technical support for BrainChip model zoo. The Akida model zoo is targeted to support and solve problems for computer vision (classification, object detection), audio processing (keyword spotting), sensor fusion, and anomaly detection. You must be able to communicate effectively at the engineering level with the internal engineers and management teams as well as external customers, understand their objectives and needs to develop and articulate solutions to address customers’ requirements.

Responsibilities

• Participate in strategy and execute continuous benchmarking activities to ensure market competitiveness; identify strengths/weaknesses; feedback to organization for improvement.
• Along with Sales, lead the definition, design, and launch of customer centric evaluation boards and or modules to highlight company value-add and differentiation.
• Part of the team that performs basic application layer s/w coding, debugging and optimizing process from building models to edge deployment specifically targeted towards edge-based design with serious constraint on power and latency.
• SALES
• Train and deploy models based on public and custom datasets to implement a real-life demonstration system to correlate assumptions related to ease of use, performance, and applications.
• Be the first to back up sales and field technical team sales team of system architects and AI/ML engineers.
• Handle basic level of application advice.
• In conjunction with Product Marketing Team, deliver technical content for customer collateral (and consumption)
• Serve as a catalyst for growth in the marketplace by representing BrainChip at technical conferences and events to stay up-to-date with the latest technologies, and trends impacting the AI Industry.
• Working knowledge of design processes and methodology; (ie ISO, Automotive Qualification)
• Ensure all technical documentation is customer- friendly and consumable.
• GENERAL
• Develop service level standards focused on response times, issue resolution, service quality, and customer satisfaction.
• Establish policies and procedures that produce high quality customer support and that reflect industry best practices.
• Ensure systems are in place and are utilized to capture and report on service metrics, including any customer feedback or trends in product or service issues.
• Manage resource decision-making, planning, and best practices.
• Align technical customer support activities and initiatives to support and enhance the objectives of the organization.
• Take ownership of unresolved technical issues, and bridge with Sales and Engineering teams to solve and/or develop solutions.
• Manage customer technical relationships as required and work with internal resources to ensure a high level of customer satisfaction.
• Communicate orally with customers, management, and other co-workers, both individually and in front of a group.