Machine Learning Engineer

Since 1995, Red Oak Technologies has been a trusted partner in the tech industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management based resources. “NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).” Machine Learning Engineer focused on Conversational AI Sunnyvale, CA QUALIFICATIONS - PhD +3yrs or MS + 5yrs relevant experience in related field (AI, ML, CS, EE etc.) - Experience with deep learning, particularly in natural language processing and/or multimodal models - Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation - Familiarity with ranking, retrieval, and personalization algorithms - Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus) - Experience integrating ML models into production systems - Strong communication skills and the ability to collaborate across disciplines - Experience with conversational AI systems or interactive ML-driven experiences - Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction) - Familiarity with various platforms, frameworks, or ML infrastructure - Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products RESPONSIBILITIES: - Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, - design, prototype, and deploy ML-driven features that power conversational and generative experiences. - work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale. -Work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You’ll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions - collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions. - iterate on solutions, and ship features that meet standards for reliability, privacy, and delight. - Design and implement ML models and algorithms for conversational understanding, generation, and personalization - Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches - Translate research ideas into production-ready systems, collaborating across teams to ensure smooth integration - Contribute to end-to-end ML pipelines, from data exploration and model training to deployment and evaluation - Write clean, maintainable, and well-tested code that meets production standards - Participate in architecture discussions, design reviews, and peer code reviews - Help shape technical direction and contribute to roadmaps for next-generation AI capabilities Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today. Let us help you find your next career opportunity! JOIN RED OAK TECHNOLOGIES! Learn what it’s like to be a Red Oak Consultant! Red Oak Five (Core Values): Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect