Member of Technical Staff, AI/ML Engineering

Role Overview Build and optimize advanced AI systems that use large language models to create scalable, high-impact products. You will work with a fast-paced engineering team to turn complex mathematical, statistical, and physics-based problems into practical AI/ML solutions. Key Responsibilities Design, build, and deploy AI/ML solutions centered on LLMs using Python and AWS infrastructure. Architect scalable, high-performance APIs and microservices with FastAPI. Integrate LangChain and advanced AI frameworks to support innovative model-interaction capabilities. Partner with cross-functional teams to translate quantitative problem statements into actionable engineering solutions. Apply mathematics, statistics, or physics expertise to improve model performance, interpretability, and reliability. Maintain strong standards for code quality, documentation, and peer review. Clearly communicate technical concepts and project progress in writing and discussion. Qualifications Advanced degree or demonstrated expertise in mathematics, quantitative sciences, statistics, or physics. Expert-level Python proficiency for AI/ML engineering. Hands-on experience deploying, fine-tuning, and integrating LLMs. Strong experience with AWS services and cloud-native machine learning workflows. Demonstrated experience using LangChain to chain LLMs and orchestrate multi-step reasoning. Solid knowledge of FastAPI for scalable API development. Exceptional written and verbal communication skills, including the ability to explain complex technical topics clearly. Preferred Qualifications Experience delivering AI/ML solutions at production scale. Publications or open-source contributions in AI/ML, applied mathematics, or computational science. Familiarity with advanced prompt engineering or AI safety practices. Work Terms Full-time, remote role. Compensation Stated compensation range: $400, 000 to $800, 000 annually. National base-salary range: $200, 000 to $260, 000 USD annually. Benefits up to 100% reimbursement of health-insurance premiums paid time off a 401(k) plan with company match additional remote-workforce benefits Eligible for equity compensation and, depending on role and company policy, performance-based bonuses. Eligibility Qualified applicants receive consideration without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, genetic information, veteran status, or other status protected by applicable law. Application Process Candidates who need assistance or a reasonable accommodation during the application process may contact the employer''s support channel. #J-18808-Ljbffr SaidGig