Lead Machine Learning Engineer, Recommendation Systems
Jampp is part of the Affle Group, a fast‑growing AdTech company that launched its IPO in 2019. We specialize in mobile performance, powering platform solutions such as Appnext, mDSP, mediasmart, Newton, RevX, Ultra, and YouAppi. Jampp consistently ranks as a top mobile performance partner and is featured across 10 categories of Singular’s ROI Index.
WHAT YOU´LL DO
- Lead the ML team, including performance reviews, career development, and setting individual goals.
- Define the long‑term strategic roadmap for evolving ML solutions in alignment with business needs.
- Plan and coordinate the execution of key initiatives, ensuring efficient delivery and providing visibility to stakeholders.
- Design, code, and deploy highly scalable features (mostly in Python) from a massive machine‑learning system that powers our economic module.
- Evaluate different statistical models, taking into consideration the trade‑off between model improvements vs scalability.
- Join a team of data scientists, data engineers, and software engineers to design, prototype and build scalable distributed systems that will enhance the machine‑learning platform.
- Work in a self‑sufficient, autonomous manner, striving through ambiguity.
REQUIREMENTS
- 1+ years of experience in a leadership role.
- 5+ years of hands‑on experience building software in Python (C++ is a plus).
- Excellent engineering and strong CS fundamentals. Hands‑on programmer, not a data analyst.
- Experience working with ML technologies and building model training pipelines.
- Be comfortable writing well‑structured, production‑ready code with quick quality results.
- Experience with cloud solutions (AWS, GCP, Azure, etc.).
- Good SQL and database knowledge (Trino SQL is a plus).
- Ability to work independently and in cooperation with others.
- A sense of urgency and ownership over the product.
WHAT WE OFFER
- Competitive salary.
- Extended maternity/paternity leaves.
- Extended holidays every year.
- A great level of responsibility from day one and the chance to develop your potential without limitations.
- An entrepreneurial environment.
- Office and remote work balance.
- A structured remote onboarding process and continuous training with a supportive team.
- Cool swag and team activities.