🆕 Lead ML Engineer (Broadcast Media) | București, CIM, 3/5 hibird
Read straight from Humanrise Ro's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationBucharest, Romania
Work modehybrid
Typefull-time
SeniorityLead
DepartmentPRO TV
Company size2+ people
PostedJun 15, 2026 · 4mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Strong experience building and deploying large-scale recommendation systems
Deep understanding of Deep Learning, embeddings and representation learning
Experience with ML deployment, monitoring and debugging in production environments
Strong knowledge of A/B testing, evaluation metrics and statistical significance
Ability to work with massive-scale behavioral datasets and complex recommendation challenges
Experience with Graph Neural Networks (GNNs) such as LightGCN or GraphSAGE
Familiarity with online learning and multi-armed bandit approaches
Exposure to cloud ecosystems and modern MLOps workflows
Previous experience within streaming, media or entertainment platforms
Understanding of recommendation edge cases such as popularity bias and oversmoothing
Skills
Python
PyTorch
TensorFlow
Graph Neural Networks
LightGCN
GraphSAGE
AWS
MLOps
Benefits
Medical allowance
Holiday vouchers
Employee discounts
Office fruit and on site massage
Employee assistance program
About the company
Posted: May 12, 2026.
You will join one of the most influential media organizations in the country — a market-leading broadcaster with a strong digital footprint and a nationwide audience.The company operates a complex broadcast and digital ecosystem, delivering live television, online streaming, and multimedia content to millions of viewers daily. Its technology teams support mission-critical infrastructure used in production, distribution, and digital media platforms.
This is an environment where IT reliability, security, and performance directly impact live broadcasting operations and large-scale content delivery — making technology a core pillar of the business, not just a support function.You will be part of a stable, high-impact organization that values innovation, security, and operational excellence in a fast-paced media landscape.
About job
•
Build and scale recommendation & personalization systems for a large-scale streaming platform.
•
Work on retrieval, ranking and reranking architectures serving millions of users.
•
Contribute to the evolution of an existing production recommendation system.
•
Collaborate closely with senior Data Science and ML Engineering experts.
•
Help shape the future of content discovery and audience intelligence.
Responsibilities
•
Develop Deep Learning models and personalization algorithms using Python, PyTorch or TensorFlow.
•
Drive A/B testing and experimentation frameworks to improve product impact.
•
Build solutions for recommendation challenges such as cold-start, shared accounts and mixed user intent.
•
Deliver scalable and production-ready components within the ML pipeline.
•
Improve methodologies related to audience behavior forecasting and content intelligence.
Requirements
Requirements
•
Strong experience building and deploying large-scale recommendation systems.
•
Deep understanding of Deep Learning, embeddings and representation learning.
•
Experience with ML deployment, monitoring and debugging in production environments.
•
Strong knowledge of A/B testing, evaluation metrics and statistical significance.
•
Ability to work with massive-scale behavioral datasets and complex recommendation challenges.
Nice to have
•
Experience with Graph Neural Networks (GNNs) such as LightGCN or GraphSAGE.
•
Familiarity with online learning and multi-armed bandit approaches.
•
Exposure to cloud ecosystems and modern MLOps workflows.
•
Previous experience within streaming, media or entertainment platforms.
•
Understanding of recommendation edge cases such as popularity bias and oversmoothing.
Benefits
•
Medical allowance.
•
Holiday vouchers.
•
Employee discounts.
•
Office fruit & on-site massage.
•
Employee Assistance Program.
More roles at Humanrise Ro