Job description
Description
Marketing.MBA, a member of the Creator Group, is more than a marketing agency — we build market leaders. Through innovative strategy and deep domain expertise, we’ve turned unknown entrepreneurs into #1 brands with proven, sustainable results.
We’re growing fast and looking for talented individuals who share our vision. Join a high-performing, collaborative team working on cutting-edge projects that push the boundaries of what’s possible in marketing and AI.
As our Machine Learning Engineer, you will take ownership of building the core ML infrastructure powering our proprietary marketing AI systems. This is a foundational role within our newly launched internal AI Lab, where your main focus will be on developing and fine-tuning custom LLMs that encode decades of high-level marketing strategy into an intelligent, scalable product.
You’ll be a hands-on technical architect and builder—designing the pipeline, creating training data, and pushing novel fine-tuning approaches into production. If you’re passionate about applying AI to complex abstract domains like persuasion, brand psychology, and strategic thinking—this is your opportunity to shape the next generation of intelligent marketing tools.
If you’re a builder at heart with a deep curiosity for AI systems and a drive to innovate, you’ll thrive in this fast-moving, creative environment.
Why you’ll love working with us:
Shape the future of AI market leaders: Play an active role in helping businesses become and remain industry leaders.
Innovative environment: Thrive in a creative workplace where new ideas and approaches are encouraged.
Learn from the best: Collaborate closely with experienced marketing experts and benefit from high-quality training and development opportunities.
Diverse projects: Dive into a wide range of exciting projects that let you grow your skills across multiple areas of marketing.
Support for your growth: Receive strong support in your professional and personal development.
Cutting-edge technologies: Use the latest tools and technologies to work efficiently and effectively.
Flexibility & work-life balance: Enjoy flexible working hours and a company culture that values balance and well-being.
Attractive Compensation: Benefit from competitive salary packages, bonuses, and additional perks that recognize and reward your performance.
Become part of our team and revolutionize the way AI drives marketing strategy. We look forward to getting to know you and shaping the Future of Autonomous Marketing together!
Key Responsibilities:
Own and build the entire ML pipeline — from raw data extraction and preprocessing to model training, fine-tuning, evaluation, and deployment.
Develop and maintain a high-throughput data factory, distilling strategic insights from deep-dive marketing analyses into synthetic training data.
Train and fine-tune open-source LLMs (Llama 3, Mixtral, etc.) using modern techniques like SFT, DPO, QLoRA, and Hugging Face’s TRL/PEFT libraries.
Partner closely with the Head of AI and strategy team to transform abstract marketing frameworks into formal, teachable representations for models.
Engineer robust, scalable systems for model reproducibility, experiment tracking, and deployment efficiency.
Tackle novel challenges in teaching AI concepts such as brand positioning, tone, and persuasive messaging.
Rapidly iterate across experimentation cycles to evaluate performance and unlock model improvements.
Contribute to our proprietary model training workflows and support integration with internal agent systems.
Collaborate in weekly syncs (1x/week) to stay aligned on vision, progress, and shared technical goals.
Lay the groundwork for our own family of specialized marketing LLMs—optimized for reasoning, latency, and quality.
Requirements
Requirements:
Proven, hands-on experience fine-tuning LLMs (e.g. Llama 2⁄3, Mixtral) with Hugging Face’s Transformers, TRL, PEFT, and related tools.
Strong Python development background with emphasis on data engineering, model evaluation, and pipeline design.
Deep understanding of fine-tuning techniques like QLoRA, DPO, and SFT, and the tradeoffs they entail.
Mid-level to senior-level software engineering experience, including Git, testing, Docker, and reproducible ML practices.
Ability to independently debug complex training and inference issues and drive improvements.
Solid grasp of evaluation methods for generative AI, prompt design, and model alignment.
Interest in applying AI to nuanced and human-centric challenges like branding, psychology, and creativity.
Strong communication skills and ability to translate between strategic intent and technical implementation.
Fluent in English.
Ability to join the team within 2 weeks of offer to support product timelines.
Bonus points for:
A portfolio or GitHub showcasing LLM fine-tuning or NLP experimentation projects.
Familiarity with model distillation or synthetic data generation.
Experience training models for creative, strategic, or high-stakes decision-making domains.
Background in marketing, behavioral science, or persuasive technologies.
What to expect at Marketing.MBA:
Remote & Flexible: Enjoy the flexibility and trust that come with a remote work environment and flexible working hours, ideally in CET timezone +/- 2hrs.
Own Your Impact: Take responsibility, present creative solutions, and see your ideas come to life. We embrace challenges, and innovation is strongly encouraged!
Connected Crew: For us, remote work doesn’t mean being isolated. We place great value on team spirit and foster it through regular meetings and events.
Lifelong Learning: We invest in your professional development. Benefit from our extensive online course library to continuously grow your skills.
Fun & Team Spirit: Experience a close-knit and dedicated company culture with regular coffee talks and a lively virtual office atmosphere.
Career Growth: We offer clear advancement opportunities and support you in reaching your professional goals.
Inspiring Projects: Work on diverse and challenging projects that help you grow both creatively and professionally.
Ready to join a passionate team and make a meaningful contribution as Machine Learning Engineer? We’re excited to hear from you – apply now!
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