3 embedded systems engineer jobs found

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Lockheed Martin Corporation. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Description: Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment,...

About The Team BMO’s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling that measure quality, safety, and performance across the full AI lifecycle. Working closely with product, engineering, and research partners, the team ensures evaluation signals are deeply embedded into training loops, deployment workflows, and continuous monitoring processes. This group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable, repeatable, and trustworthy evaluation of advanced AI systems. About The Role The AI Evaluation Scientist is an individual contributor role focused on delivering the data science stream of AI evaluations. This includes designing, implementing, and productionizing evaluation methods, metrics, and datasets that directly influence modeling decisions, product...

About The Team BMO’s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling that measure quality, safety, and performance across the full AI lifecycle. Working closely with product, engineering, and research partners, the team ensures evaluation signals are deeply embedded into training loops, deployment workflows, and continuous monitoring processes. This group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable, repeatable, and trustworthy evaluation of advanced AI systems. About The Role The AI Evaluation Scientist is an individual contributor role focused on delivering the data science stream of AI evaluations. This includes designing, implementing, and productionizing evaluation methods, metrics, and datasets that directly influence modeling decisions, product...