A technical leader and domain pioneer leading data science and analytics to drive AI innovation, optimize campaigns, and create significant business impact for eBay.
Locations (2)
Toronto, Ontario, Canada
San Jose, California, United States
Responsibilities
Serve as an inspiring leader and domain lead for data science and analytics, guiding strategic roadmaps powered by eBay's extensive datasets.
Define, build, and track next-generation, AI-enhanced measures to evaluate product performance and lead automated health monitoring.
Architect and deploy predictive models, AI algorithms, and experimental frameworks to unlock high-impact growth opportunities and redefine product strategy.
Develop self-service dashboards and data visualization tools.
Partner with multi-functional teams to prioritize key business challenges and build outstanding AI and analytics solutions that unlock operational efficiencies.
Requirements
Master’s degree or equivalent experience in a quantitative field (Engineering, Statistics, Applied Econometrics, Math, Physics, and CS)
MBA with over 10 years in analytics or finance roles
The primary purpose of this role is to lead the way in utilizing Al techniques to enable AAL to deliver better customer outcomes, automate processes and make optimal business decisions which deliver real organisational value.
Responsibilities
Work with business stakeholders to understand the problem behind each request, define what success looks like and decide whether AI is the right answer at all
Apply human judgement to determine the best AI solution (rules, statistical model, LLMs or agentic) that best balances accuracy, explainability, cost and risk
Design and develop AI solutions end-to-end, from data exploration and feature engineering through to modelling, prompt design and agent orchestration
Put models into production using systematic testing, quality assurance and ongoing monitoring for performance, drift and integrity
Understanding AI risk and developing and documenting solutions with the right controls and guardrails in place to manage risk
Requirements
Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent)
A Senior Software Engineer role focused on research, advanced data architecture, and digital twins within complex manufacturing and lithium-ion battery technology environments.
Compensation
Base salaries which exceed local & national industry averages. Year-end performance-based bonuses.
Responsibilities
Conduct research and learn advanced concepts across engineering disciplines
Communicate findings to experts and non-experts
Design and maintain data models and digital architectures
Apply machine learning and AI to optimize manufacturing processes
Integrate digital twins and simulation data
Requirements
Bachelor's degree in Computer Science, Software/Electrical Engineering
Lead and manage the data analytics department, establishing the vision and strategic direction for advanced analytics, business intelligence, and data management.
Locations (2)
Alexandria, Virginia, United States
Boston, Massachusetts, United States
Responsibilities
Lead and manage the data analytics department, establishing the vision and strategic direction for advanced analytics, business intelligence, and data management.
Build, mentor, and scale a high-performing analytics team, fostering a culture of collaboration and continuous improvement.
Partner with business units and technology teams to identify analytic opportunities, assess data needs, and deliver actionable insights.
Develop and implement dashboards, KPI reports, and data visualizations to track business performance and inform strategic decisions.
Deploy and optimize advanced analytics tools, predictive models, and data infrastructure.
Requirements
Staff Software Engineer, Perception (R5421)
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 16, 2026
The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems, focusing on autonomy software, aircraft, and synthetic reality technologies.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop the next generation of perception capabilities for autonomous systems
Design, train, and fine-tune vision-language (VLM) and vision-language-action (VLA) models
Build scalable machine learning pipelines and evaluation frameworks
Deploy and optimize ML models using TensorRT and ONNX
Partner with research, autonomy, and platform teams to translate research into production
Requirements
Typically requires 7 years of experience with a Bachelor’s degree
6 years and a Master’s degree
4 years with a PhD
Nice to have: Experience with autonomous systems for defense customers
Nice to have: Experience with vision-language models, vision-language-action models, and world models
This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems, focusing on building custom perception capabilities from the ground up.
Responsibilities
Designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines.
Building custom perception capabilities from the ground up with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
Supporting the development and integration of learned perception models into real-time computer vision pipelines.
Adapting detection, classification, recognition, or segmentation models for operational imagery.
Improving model performance across varied lighting, viewpoint, background, and environmental conditions.
Requirements
Degree in Computer Vision
Computer Science
Engineering
related technical field
Nice to have: Master’s or PhD in Computer Science, Engineering, or related field
Own the AI systems at the heart of the product, building end‑to‑end ML pipelines and cloud architecture for predictive maintenance of commercial fleets.
Compensation
Early-stage compensation: 130 ~ 150k salary, ~1.5% experience and location - we're happy to talk through the details early in the process.
Responsibilities
Build data pipelines that move sensor data from vessel edge devices to cloud over satellite links
Stand up cloud architecture on AWS for real‑time and batch processing
Integrate historical maintenance records from CMMS databases
Develop ML models for anomaly detection and failure prediction using isolation forests, autoencoders, gradient‑boosted trees, and LSTMs
Design fleet‑wide and vessel‑specific modeling approaches
Lead research and development of behavioral intelligence agents, designing experiments, building simulations, and translating findings into production systems.
Responsibilities
Own research directions from question to production
Data ScientistNewAllianz Trade · Sydney, Australia
Senior Software EngineerNewInteger Technologies · Columbia, US
Sr Mgr, EngineeringNewf7d8749a-72d6-407c-bf98-292ea630c73a · Alexandria, US+1 more