• Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. • Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. • Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost) • Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products. • Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale. • Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models. • Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production.

• Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and route networks for both high-fidelity offline pipelines and real-time online mapping. • Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with upstream and downstream modules like Perception, Behavior, Policy, and Prediction. • Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution. • Own the end-to-end data strategy for the mapping domain, specifically focusing on lane and route networks. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios. • Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs). • Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements. • Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet. • Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and vision/fusion Foundation Models to deliver production-ready solutions.

• Build and own the ML infrastructure that makes our AI systems reliable and improvable, including eval frameworks, prompt management, and model observability • Ship customer-facing AI features on a consistent cadence, balancing new capability delivery with foundational infrastructure work • Define and implement the team's approach to evals, LLM routing, prompt engineering, and model selection • Build pragmatic standards that improve quality without slowing the team down • Contribute to ML technical direction by proactively surfacing trade-offs and architectural options, helping the team make informed decisions on where ML is headed.

GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $75 billion on the cost of their prescriptions. Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans. Major Responsibilities: - Define and drive machine learning strategy across multiple domains and product areas while actively contributing to implementation - Design, build, and scale production ML systems, pipelines, and services - Establish standards for model architecture, evaluation, deployment, and lifecycle management - Lead development of complex ML solutions, partnering with Data Scientists to bring models into production - Leverage agentic AI to speed up development and deliver features on a consistent cadence - Drive enterprise MLOps strategy, including deployment, monitoring, and model governance - Define and implement scalable feature engineering and data pipeline strategies - Lead cross-functional initiatives to improve ML system performance, reliability, and scalability - Solve highly complex, ambiguous technical problems through hands-on development and technical leadership - Mentor senior engineers and influence technical direction across teams - Evaluate and adopt new tools, technologies, and best practices to advance ML capabilities Skills & Qualifications: - 10+ years of experience building and deploying machine learning systems at scale - Proven track record of leading and delivering large, complex ML initiatives - Strong expertise in ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and distributed systems - Extensive programming experience in Python required, Golang experience preferred - Experience in building data pipelines in cloud environment such as airflow - Experience in developing multi‑agent systems and RAG architectures - Experience with cloud platforms (AWS, GCP, Azure) and big data ecosystems - Deep understanding of MLOps and production ML systems - Experience working with AI governance guidelines and compliance requirements in the industry - Strong software engineering and system design skills - Ability to balance strategic thinking with hands-on execution - Excellent communication and stakeholder management skills. Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices, such as reading and adhering to the security policies and procedures, being vigilant and observant of potential security threats, etc. At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below are shown as a guideline, and the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, and other relevant business and organizational factors. These pay zones may be modified in the future. Please contact your recruiter for additional information. San Francisco and Seattle Offices: $253,000.00 - $404,000.00 New York Office: $232,000.00 - $371,000.00 Santa Monica Office: $211,000.00 - $337,000.00 Other Office Locations: $190,000.00 - $303,000.00GoodRx also offers additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like mental wellness and financial wellness programs, fertility benefits, generous parental leave, pet insurance, supplemental life insurance for you and your dependents, company-paid short-term and long-term disability, and more! We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel. With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, individuals with disabilities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role! GoodRx is committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. If you need any assistance or accommodations due to a disability, please reach out to us at accommodations@goodrx.com. We prioritize candidate safety. Please be aware that all official communication will only be sent from @goodrx.com or goodrx@myworkday.com addresses. GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a tele-health marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.