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.
The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations.
The Neurodiagnostic Tech Supervisor provides supervision and management of the Neurodiagnostic Tech team, overseeing direction, education, hiring, termination, and professional growth while performing performing clinical duties.
Compensation
Base Pay Scale: Generally starting at $68.52 - $90.78 per hour
Responsibilities
Provides daily supervision and management of the Neurodiagnostic Tech team members.
Meets with staff to implement, manage, and enforce clinical/practice protocol, procedures, and changes.
Supervises and aids in the educational development of students, residents, and fellows.
Responsible for establishing and maintaining laboratory procedures and protocols.
Communicates to department manager progress, problems, and trends in technical areas.
Requirements
Graduate of an Electroneurodiagnostic technology program accredited by the Committee on Allied Health Education and Accreditation
Own the AI agent's voice and standards for interaction, managing behavioral guidelines for IT and HR requests, defining evaluation rubrics, and providing precise feedback to engineering teams.
Compensation
$100,000—170,000 USD
Responsibilities
Write and maintain the agent's voice and behavioral guidelines: how it explains, asks, admits uncertainty, declines, escalates and closes a loop.
Read real transcripts every week and turn what you find into precise, example-backed asks for engineering.
Own the rubric for what a good interaction is; engineers run the evals, you define what passes.
Rewrite the agent's worst answers into the ones it should have given, and build the exemplar library the team learns from.
Decide handoff behavior: when the agent acts, asks, or stops and routes to a human.
Senior Director-level Government CIO Technology Analyst responsible for research, thought leadership, and advisory services to Australian federal, state, and local government CIOs and technology executives.
Responsibilities
Create innovative research content
Develop new research and ideas
Conduct in-depth analysis of client barriers
Demonstrate thought leadership across team
Provide actionable advice to clients via virtual or face-to-face interactions
Requirements
Bachelor’s degree or equivalent experience; graduate degree preferred
Protect the integrity of the Call of Duty player experience by identifying, investigating, and actioning cheating behavior across live titles.
Compensation
In the U.S., the standard base pay range for this role is $82,240.00 - $152,160.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations.
Responsibilities
Investigate suspicious player accounts using gameplay telemetry, behavioral signals, and internal anti-cheat tools.
Review evidence associated with potential cheating, exploitation, boosting, and other integrity violations.
Make accurate and consistent enforcement decisions, including account bans and other disciplinary actions.
Identify patterns, trends, and emerging cheating behaviors across the player population.
Partner with engineering and data teams to improve detection quality and reduce false positives.
Requirements
Nice to have: anti-cheat operations
Nice to have: trust and safety
Nice to have: Python scripting
Nice to have: machine-learning-assisted detection systems
Develop, implement, and support AI computational and data science solutions—including modelling algorithms, machine learning models, and AI tools—tailored to diverse scientific and business application areas.
Translate complex, unstructured business or scientific problems into appropriate data-driven analytical and computational solutions.
Collaborate with cross-functional stakeholders—including scientists, data scientists, engineers, and business teams—to identify opportunities, understand challenges, and deliver impactful AI-driven recommendations and insights.
Research and develop new predictive models, computational methods, and algorithms, applying techniques such as classification, regression, clustering, natural language processing (NLP), image analysis, graph simulation theory, deep learning, and recommendation systems as needed.
Integrate, process, and analyze data from multiple sources and modalities to ensure comprehensive approaches to problem-solving.
Requirements
Bachelor's
Master's
PhD
Nice to have: Master’s or PhD in a relevant quantitative discipline
Nice to have: publishing predictive modelling results
Editor, Agent ExperienceStandard Template Labs · New York, US
Senior Game Security Analyst - Ricochet Anti-Cheat (Call of Duty)Activision · Sherman Oaks, US
Senior Frontier AI ResearcherAstraZeneca · Barcelona, Spain