Lead technical direction and engineering for high-impact AI performance initiatives.
Compensation
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Responsibilities
Own the technical vision, architecture, roadmap, and multi-release execution strategy for critical AI framework, performance, benchmarking, or developer-productivity capabilities.
Lead technical alignment across teams by shaping architecture and priorities, resolving competing requirements, and holding researchers, product groups, infrastructure owners, and hardware partners accountable to clear decisions, execution plans, and measurable outcomes.
Build technical leadership capacity across the organization by mentoring engineers, developing emerging technical leads, establishing high standards for quality and maintainability, and creating an inclusive engineering culture in which teams can execute effectively at scale.
Steer ambiguous, cross-stack investigations and investments spanning models, frameworks, compilers, runtimes, systems, services, and silicon; set technical priorities, resolve trade-offs, and drive teams to decisions.
Provide hands-on technical leadership by setting the engineering approach, delegating and unblocking critical work, and directly contributing through prototypes, critical-path implementation, design and code reviews, complex debugging, and operational readiness.
A highly skilled Vision System Data Science Engineer (Level 4) to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications.
Responsibilities
Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
Define data quality standards and establish model performance metrics to ensure production readiness.
As an intern in our Advanced Computing Lab, you will work with a team of electrical engineers and computer science researchers on analyzing and improving mission system performance metrics through the use of novel AI-focused hardware accelerators, FPGAs, optimized low-level algorithms, and experimental compilers.
Responsibilities
Complete tasks to support ongoing projects within the Advanced Computing Lab
Profiling performance of various compute systems
Testing and debugging ML-related algorithms
Supporting the development of prototypes, tools, and demos
Collecting and curating project-related code, research publications, and hardware specifications
Requirements
Current enrollment in an undergraduate or graduate degree granting program
The Data Scientist joins the Audience Revenue Science Team to support product development related to in-depth data analysis, machine learning, AI, optimization methods, and statistical model building.
Compensation
New York Pay Range: $103,361.11 - $155,041.67
Responsibilities
Collaborating with cross-functional teams to define data analysis problems and design experiments
Engineering software solutions and algorithms for data cleansing, integration, and analysis
Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
Implementing statistical and mathematical models to address complex business challenges
Constructing data mining frameworks and conducting trend analysis for strategic decision-making
System LeadNewOptics11 · Amsterdam, Netherlands
Research and Development Engineer in Formal MethodsNewInstitut Mines-Télécom · Palaiseau, France