- Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
- 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
- Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
- Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
- Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
- Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
- Comfortable working in cross-functional teams.
- Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
- Excellent communication skills with the ability to simplify complex technical concepts.
Since 2019, Glance has built the extraordinary. Beyond just technology. It has built a way of working.
Across 5 offices in around 3 countries, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another.
Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best.
This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role.
If this sounds like the place you have been looking for, join us.