Staff Machine Learning Engineer
3 days ago
About the company
Fast-track your career with the Marlee Talent Pool. We're not just matching you with your ideal roles but unlocking your long-term career potential. Marlee goes above and beyond by identifying key strengths for your CV, helping you discover a career direction you might not have considered where you can truly thrive, and guiding you to develop those essential soft human skills that close gaps in your resume.
Marlee's innovative approach then places you in teams where you'll flourish. Using cutting-edge motivational science, we connect you with roles in teams and within organizations that make your heart sing and help our partners build their dream teams.
Our partner is on the lookout for a hands-on and highly skilled Staff Machine Learning Engineer to pioneer innovative AI solutions within a new domain. Prior experience in brand management isn't required—but curiosity, adaptability, and an eagerness to shape the future of brand-focused AI is essential.
What you'll do:
- Enhancing and evolving a robust Brand Knowledge system to interpret and enforce brand guidelines intelligently
- Building AI models that find the sweet spot between brand consistency and creative freedom
- Developing and refining Brand Assist tools that provide proactive and adaptive brand guidance
- Scaling agent-based AI systems that power real-time analytics and intelligent auditing
- Applying advanced AI methodologies (LLMs, multimodal models, RAG) to elevate brand intelligence
- Working collaboratively with cross-functional teams to launch scalable, AI-driven brand experiences
- Making brand guidelines more data-informed through continual performance insights
- Prototyping novel AI concepts that push the boundaries of compliance and user experience
- Becoming a go-to expert in Brand AI, helping influence the long-term vision and roadmap
What makes you ideal?
- Bring deep experience in machine learning engineering and deploying scalable ML systems
- Have led cross-functional projects and shipped AI-powered features to production
- Thrive in fast-paced, collaborative environments and enjoy mentoring others
- Have hands-on experience with modern AI stacks—LLMs, RAG, multimodal models, and agent-based systems
- Balance technical innovation with user experience and business impact
- Can build real-time pipelines and ML architectures from scratch or by adapting existing systems
- Have a strong sense of ownership and autonomy in delivering results
- Communicate and collaborate effectively with designers, engineers, and business leads
- Are curious, always learning, and excited to bring AI to life in new, impactful ways
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