Lead research and engineering efforts to develop AI datasets, reinforcement learning environments, and evaluation frameworks for frontier AI systems.
Compensation
$250,000 to $400,000 OTE + Equity
Responsibilities
Conduct research on frontier AI systems
Formulate research questions to inform products and strategy
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation
Stay current with advances in machine learning
Build and evaluate research systems, including datasets, experiments, prototypes, tooling, and evaluation frameworks
Requirements
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field
Lead and manage large-scale data operations and vendor relationships to support NVIDIA’s AI/ML and LLM initiatives.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.
Responsibilities
Drive execution for sourcing, curating, and maintaining high‑quality data used to train and evaluate Robotics/LLM programs
Identify, evaluate, and onboard external data/annotation vendors aligned with LLM use cases, quality needs, and compliance constraints
Negotiate contracts, pricing, SLAs, and KPIs with vendors; track performance and drive continuous improvement and cost efficiency
Partner with Legal, Privacy, and Security to ensure data contracts, access, and usage align with regulatory and internal policies
Dashboards and reporting to monitor data quality, vendor throughput, turnaround time, and budget utilization
Requirements
Bachelor's degree or equivalent experience
Nice to have: experience with AI/ML data vendors
Nice to have: knowledge of LLM training data pipelines
Nice to have: experience managing external data vendors
Nice to have: setting KPIs, SLAs, and performance metrics
Lead Information Security Engineer responsible for ensuring the security, reliability, and performance of IAM solutions through rigorous testing and validation processes.
Responsibilities
Ensure security, reliability, and performance of IAM solutions through testing and validation
Support multiple projects and develop SOPs
Automate workflows and features for regression suite
Develop components using CI/CD approaches
Define test coverage for manual and automation scripts
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep the data ecosystem healthy for Apple’s AI and ML features.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines
Own the health of training and validation datasets
Lead the enterprise Test Data Management function within EQE, including strategic direction, operating model execution, and organizational development.
Compensation
$156,600 - $215,400 per year
Responsibilities
Lead the enterprise Test Data Management function within EQE, including strategic direction, operating model execution, and organizational development.
Build, lead, and develop a high-performing team of managers, engineers, and test data specialists across multiple groups supporting segment and enterprise needs.
Oversee a distributed organization of 50+ associates and create clear priorities, role clarity, and performance expectations.
Partner with Quality Engineering, Engineering, Product, Architecture, DevOps, Infrastructure, Security, and Data teams to align TDM services with business and delivery priorities.
Drive a scalable support model for segment TDM services across multiple portfolios and delivery teams.
Build privacy and anonymization systems for an AI infrastructure team, helping make sensitive real-world data safe and useful for model training.
Compensation
Base salary: $130,000 to $225,000 annually.
Responsibilities
Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, and choose transformations suited to each data type and use case.
Develop and benchmark detection methods combining rules, statistical models, classifiers, and LLM-based approaches.
Create production pipelines that anonymize raw data before downstream processing, training, evaluation, or synthetic data generation.
Build evaluation frameworks for privacy risk and retained utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
Design robust systems for new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.
Design, build, and continuously improve intelligent AI systems that support Pearson’s K–12 assessment and learning products.
Compensation
The full-time salary range for this role is $140,000 – $160,000. This position is eligible to participate in an annual incentive program.
Responsibilities
Design complete, modular AI systems spanning knowledge and data inputs, retrieval, models, agents, tools, deterministic services, human review, evaluation, and integration
Break complex problems into the right combination of predictive ML, statistical methods, generative models, retrieval, graph reasoning, deterministic software, and human decision points
Build working systems and reference implementations, and partner with software engineers to bring them into the assessment authoring system
Design architectures that can evolve as models, data, domain knowledge, and evaluation evidence change
Design and implement agentic and multi-step workflows using models, tools, retrieval, state, structured outputs, and human decision points
Requirements
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field, or equivalent experience
Capio Group is looking for an experienced Environment and Test Data Management Lead to provide QA/QC services to support teams for enterprise applications, covering end to end test planning, execution, automation, performance engineering, environment/test data coordination, and defect management.
Compensation
Salary: $112,000 - $117,000
Responsibilities
Coordination, provisioning, and management of non-production testing environments across the SDLC.
Management of test data required to support testing activities across environments.
Environment configuration and provisioning, Environment availability monitoring, Environment scheduling and conflict resolution
Integration validation across systems, Environment incident management and recovery
Test data creation and provisioning, Data masking and anonymization, Data refresh and synchronization
Requirements
Bachelor’s degree in an IT-related or Engineering field
Nice to have: supporting enterprise application environments
Nice to have: experience supporting large scale enterprise benefit systems
Research Engineering Manager, STEMNewTuring · US
Machine Learning Engineer, AI/ML Model QualityApple · Austin, US+3 more
LLM Post-Training EngineerEricsson · Yokohama, Japan
Data Scientist (Face Biometrics)Daon Inc · Belgrade, Serbia
Research Engineer, Privacy and AnonymizationClera-AI · San Francisco, US
Environment TesterCapio Group · Sacramento, US