Experienced lawyer focused on improving CoCounsel Legal by writing prompts, experimenting with LLMs, and evaluating AI results to ensure legally sound outputs for legal professionals.
Responsibilities
Create, test, and refine prompts, skills, and agent configurations for CoCounsel Legal to ensure accurate, legally sound, and contextually appropriate responses
Experiment with Thomson and other LLMs on legal tasks, comparing results to inform which model best fits each use case
Build gold-standard datasets with SMEs, coordinate evaluations, and design evaluation schemes, including rubrics, metrics, success criteria, and LLM-as-judge prompts
Write and run scripts, experiments, and automated tests that ensure quality and consistency over large datasets and time periods
Monitor production performance, analyze failure modes and identify where in the pipeline they originate (prompting, tooling, retrieval, or content), and provide strategic feedback to software engineers and data scientists
Requirements
Juris Doctor degree or equivalent law degree
bar admission in a US or Canadian jurisdiction
Nice to have: experience with legal products and technology
Nice to have: online legal research and practice tools
Nice to have: designing evaluations (rubrics, human grading frameworks, LLM-as-judge prompts)
Lead the technology strategy and roadmap for designing, building, and operating bespoke AI solutions for Thomson Reuters’ legal technology platform, serving top law firms and corporate legal departments worldwide.
Lead Product Manager for AI Platform at Global Payments, responsible for strategy, roadmap, and adoption of a shared AI foundation across product and engineering teams.
A 10-week paid internship focused on Analytics & Strategy in Credit, involving loan underwriting decisions, portfolio management, and fraud mitigation using advanced analytics.
Responsibilities
Learn the process of fairly and responsibly extending credit–including underwriting and managing loan portfolios, and mitigating fraud
Help clients achieve the right balance of growth and loss mitigation
Use advanced analytics techniques to develop and implement strategies that drive business decisions
Understand the entire account credit lifecycle and the impact of credit performance on the Profit & Loss Statement
Work close to Client partners as part of Client teams
Requirements
Bachelor’s degree in Accounting, Mathematics, Finance, Economics or relevant major
Rivian is seeking an innovative engineer who combines expertise in AI/ML with a passion for quality and manufacturing excellence in the Body Assembly area. This role is crucial in driving our digital transformation initiatives through the development and implementation of AI-powered solutions.
Compensation
The salary range for this role is $98,500-$123,100 for Illinois based applicants.
Responsibilities
Apply fundamental process engineering principles and advanced statistical methods, including ML/AI algorithms, to analyze manufacturing data (e.g., End of line test data, sensor data, press data, LVDT data, historical trends, operational logs).
Develop and implement predictive models for key performance indicators (KPIs) such as yield, throughput and equipment downtime.
Collaborate with IT and operations teams to establish data pipelines, ensuring data quality, accessibility, and integrity for ML model training and deployment.
Utilize data collected by Rivian’s MES database system for model training.
Design, train, validate, and deploy robust ML models (e.g., classification, regression, time-series forecasting) for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
Design, build, optimize, and maintain scalable data pipelines and analytical datasets supporting analytics, machine learning, and AI use cases.
Compensation
The anticipated compensation for this position is USD $123,650.00/Yr. - USD $203,150.00/Yr. depending on experience and qualifications.
Responsibilities
Design, build, optimize, and maintain scalable data pipelines and analytical datasets supporting analytics, machine learning, and AI use cases.
Build reliable data ingestion, transformation, and feature pipelines across large-scale product telemetry, customer, behavioral, feedback, and operational datasets.
Establish strong practices around data quality, observability, reliability, performance, and governance to ensure datasets are trusted and ready for analysis and modeling.
Use Python, SQL, Spark, and modern cloud data technologies to process, transform, analyze, and derive insights from large-scale datasets.
Analyze product telemetry, usage, behavioral, customer feedback, support, and operational datasets to identify trends, patterns, anomalies, friction points, and opportunities.
Requirements
Bachelor's or higher in Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, or a related discipline
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Define and drive the long‑term technical vision and strategy for FDE
Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns
Identify emerging capabilities and communicate opportunities and trade‑offs to senior leadership
Contribute to cross‑functional engineering strategy, standards, and patents
Lead complex, high‑risk AI initiatives from concept through production
Requirements
Nice to have: regulated industry experience (legal, fintech, healthcare)
Summer 2027 AI Design Intern for Facility DesignNewThe Haskell Company · Jacksonville, US
Research Scientist, ScreeningNewPromega · Madison, US
Sr. Process Engineer, R1 Body AI/MLNewRivian Automotive · Normal, US
Sr Data EngineerNewMcAfee · Frisco, US