Role overview
At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Partnering with one of our growing Series-A clients, we're on the search for a
Machine Learning Engineer
who wants to transform advertising through the power of creators, data, and AI.
With the rise of influencer marketing, they're hundreds (if not thousands) ways to make influencer accessibility as measurable, predictable, and scalable as traditional paid advertising. This is your opportunity to build it at scale.
Currently building a next-generation platform that connects influencers using AI-powered matchmaking, campaign automation, and generative tools, this is the new standard in Influencer Marketing.
If you're a Machine Learning Engineer who loves building, optimizing, and deploying ML systems at scale, and you're excited to push the boundaries of AI, this might be your next role.
What you'll work on
- Proven experience designing, building, and maintaining production-grade, end-to-end machine learning systems.
- Deep expertise in ML algorithms, embeddings, retrieval systems, and evaluation methodologies.
- Hands-on experience with LLMs, including fine-tuning, inference optimization, and agent frameworks.
- Strong background in ML infrastructure: feature stores, vector databases, model serving, and real-time inference pipelines.
- Advanced Python proficiency and experience with PyTorch, TensorFlow, FastAPI, NumPy, scikit-learn, and data processing frameworks.
- Experience building scalable data pipelines (batch and streaming) using tools like Spark, Kafka, or equivalent technologies.