G-P - Staff AI Engineer
Requirements
• 8+ years building and shipping machine learning systems, with a record of technical leadership on production work • Strong Python and the ability to write clean, maintainable, production-ready code, with ownership of services from first commit through production support • Deep, hands-on experience with machine learning and NLP, including deep learning and modern LLMs • Experience designing evaluation frameworks and metrics, and monitoring models after deployment to keep them reliable • Strong foundations in statistics, probability and linear algebra • Experience building and running ML services at scale, with Docker and AWS, including serverless • A history of making architectural and technical decisions that others adopted, and of leading projects without formal authority • Experience mentoring engineers and improving how a team builds • Comfort with ambiguous, open-ended problems • Excellent communication skills with both technical and non-technical audiences • A Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics or a related field, or equivalent practical experience • Experience using LLMs for non-conversational work such as extraction, classification, structured outputs and reasoning over documents • Background in compliance, HR tech, regulatory or other sensitive, audit-heavy domains • Experience with explainability and human-in-the-loop design • Terraform or other infrastructure as code • Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role. • Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: • Sales Roles: This position is eligible for a commission structure in addition to base salary. • Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
Responsibilities
• Write the code that matters most. Design and build production LLM and NLP systems, data pipelines and ML services. Guide critical core components through every stage, moving seamlessly from initial prototyping to production deployment and continuous oversight. • Write the code that matters most. • Make the system trustworthy. Our users act on what GIA tells them. Build the evaluation, monitoring and traceability that catch failures like hallucinations, show why the system gave an answer, and keep a human in the loop where it matters. • Make the system trustworthy. • Set the technical direction. Define the architecture and engineering standards for our AI systems, and make the calls on models, build vs. buy, and the trade-offs between accuracy, cost and speed. Explain your reasoning clearly to engineers and leadership. • Set the technical direction. • Turn ambiguous problems into shippable solutions. Compliance and HR work rarely arrives as a clean spec. Work with product, customers and domain experts to decide what is worth solving with AI, frame it well and drive it through delivery. • Turn ambiguous problems into shippable solutions. • Raise the engineering bar. Lead design reviews and code reviews, write clear design docs, and mentor engineers at every level. Help shape how we hire, onboard and grow our AI engineers. • Raise the engineering bar. • Create reusable foundations. Build shared evaluation tooling, deployment pipelines and data practices so every project ships faster and more safely than the last. • Create reusable foundations. • Bring the outside in. Track developments in LLMs and applied ML, run focused experiments, and turn the promising ones into real product capability rather than prototypes. • Bring the outside in. • Communicate across the business. Partner with product, engineering and leadership, and make complex technical trade-offs understandable to non-technical colleagues. • Communicate across the business.
Benefits
• G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. • Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job. • United States: California or Philadelphia • Pennsylvania, • G-P. Global Made Possible.
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