Senior Staff ML Engineer, AI Safeguards - MoveworksNew
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Senior Staff Privacy Engineer - MoveworksNew
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+10K new in the last hour
Senior Staff ML Engineer, AI Safeguards - Moveworks
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure
Build evals that measure safeguard efficacy on both false and true positives, using datasets from customer reports, adversarial testing and production traffic
Work closely with our Security team: turn their adversarial findings into eval cases and fixes, and build mitigations together that hold when detection misses
Select, integrate and fine-tune detection models within a stack shared by our commercial and government environments
Balance quality, latency and cost for controls that run in the request path
A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
Lead the development of pricing, credit-risk and portfolio-management solutions across Business and Commercial Banking, combining quantitative modelling with modern software-development practices.
Compensation
£95,418 to £106,020
Responsibilities
Own the methodology and lead the software implementation of Return on Risk Adjusted Capital models supporting the origination and pricing of commercial lending products.
Build production-quality solutions for loan pricing, portfolio management, capital allocation, forecasting and credit-risk analytics.
Develop reusable, well-documented and tested analytical code, applying version control, peer review and robust model-development standards.
Use Python, C#, and SQL to work with large datasets, automate analytical processes and improve the efficiency and control of existing tools.
Lead the application of advanced statistical and machine-learning techniques to identify growth opportunities, support client acquisition and deepen client relationships.
Requirements
Postgraduate qualification, or equivalent experience, in mathematics, statistics, physics, quantitative finance or another highly quantitative discipline
Join a small, fast-moving AI pod to build and deploy generative and agentic AI solutions directly with business users, working hands-on with LLMs, SLMs, agentic frameworks and AWS.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Build and ship generative AI and agentic AI applications end to end, from prototype to production
Develop agentic workflows, including tool-using agents and multi-agent collaboration
Contribute to autonomous AI capabilities with appropriate guardrails and controls
Implement orchestration and retrieval-augmented generation (RAG) pipelines, integrating AI solutions with internal systems
Build and run model and agent evaluations to maintain high-quality outcomes
Requirements
Formal training or certification on software engineering concepts
Seeking architects, engineers, and BIM professionals to support hyperscale data center programs, turning design models into structured information for program-level decisions.
Locations (2)
San Francisco, California, United States
Golden, Colorado, United States
Compensation
San Francisco, California: $80,000 to $140,000 annually
Golden, Colorado: $70,000 to $115,000 annually
Responsibilities
Develop and apply work breakdown structures and classification mappings with the client, connecting model elements and building systems to defined scopes, work packages, and relevant cost and schedule structures.
Define and maintain model metadata requirements, including parameters, identifiers, system assignments, and classification values that enable consistent analysis across disciplines and projects.
Extract, organize, and validate model data to produce structured datasets, quantities, and component inventories that remain traceable to their source.
Assess model health through information completeness, classification coverage, consistency, and quantity checks, identifying gaps that affect confidence in downstream analysis.
Lead and manage electrical engineering projects, overseeing the design, development, and implementation of electrical systems and components, focusing on embedded systems, circuit card design, and RF signal chain analysis.
Compensation
The annual base salary range for this position is $104,000 - $130,000.
Responsibilities
Circuit card design including parts selection, schematic entry, and layout
Conduct circuit analysis
Conduct RF signal chain analysis
Run 3D electromagnetic wave field solver simulations
Write VHDL for FPGA designs
Requirements
Bachelor's degree in a technical discipline such as the sciences, technology, engineering or mathematics
Nice to have: Digital Signal Processing modeling in MATLAB or Python
Nice to have: Understanding of radar fundamentals
Nice to have: Proficiency with Altium, Xpedition, or similar PCB design tools
Nice to have: Proficiency with AWR, HFSS, or similar RF modeling and simulation tools
Designs, develops, tests, and maintains embedded software for advanced processing applications using languages such as C++ and Python. Translates and optimizes complex mathematical algorithms and digital signal processing (DSP) techniques modeled in MATLAB and/or Python into production-ready, high-performance software.
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 13, 2026
The Data Analyst V position oversees and performs highly advanced data verification by collecting, querying, and analyzing data using standard statistical tools, applications, methods, and techniques. Serving as an escalation point, Data Analyst V reviews complex variances or findings requiring additional analysis.
Oversee and perform highly advanced data verification (collecting, querying, and analyzing data using standard statistical tools, applications, methods, and techniques)
Ensure consistency and accuracy across all team reporting and communicate findings and recommendations to the QRU manager
Support day-to-day operational coordination; communicate workload priorities, data review requirements, and results to team members and/or provide technical guidance and on-the-job support to other Data Analysts
Requirements
Graduation from an accredited four-year college or university with major coursework in a related field (preferred)
Nice to have: Knowledge of HHS processes, procedures, and policies
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 13, 2026
Performs advanced epidemiology work, evaluating potential adverse effects from human exposure to toxic substances and harmful physical agents.
Compensation
Salary Range: $4,523.16 - $5,888.50
Responsibilities
Provides epidemiology support to Occupational Health Surveillance, Environmental and Poison Epidemiology, and Health Assessment and Toxicology Programs
Performs follow-up on cases of reportable conditions, including contacting and interviewing exposed individuals and their employers, obtaining medical records, completing questionnaires, data entry, and data quality assurance/quality control
Analyzes and interprets surveillance data using scientifically valid methods, appropriate databases, and statistical software
Reviews Branch reports, health assessments, occupational health investigations, and other publications for scientific validity, clarity, and consistency
Publishes analyses and conclusions internally and in peer reviewed journals
Requirements
Masters' or doctoral degree from an accredited university with major coursework in epidemiology, biostatistics, or a related field
Compare model revisions and design configurations to identify changes in quantities, systems, and scope, distinguishing design changes from modeling or metadata discrepancies.
Requirements
Bachelor's degree in architecture, engineering, construction management, design technology, or a related field
Nice to have: Building systems knowledge
Nice to have: Interpreting drawings and specifications