עברית
Machine Learning Engineer
Our Data Science team is opening its gates and looking for an experienced ML Engineer.
Our mission is to improve the quality of online conversations and build a healthier web where content creators of all kinds are empowered to thrive. As a product company, we partner with publishers and brands to forge strong, direct relationships with their audiences.
To achieve this, our Data Science team leads various initiatives around conversation moderationthink spam detection, toxicity, hate speech, or bot detection. We incorporate large-scale transformer models and LLMs at scale to make it happen.
In our work, we research, build, deploy and monitor solutions using the latest and greatest tools.
When you join our Data Science team, youll tackle everything from NLP classification challenges, RL model training for optimizing real time bidding, detection of bots using graph networks and scaling cutting-edge transformer models in production.
If youre ready to dive into huge amounts of data and have fun doing it - read on!
What Youll do:
Develop & Standardize ML Tooling: Build frameworks and reusable modules to streamline model deployment and code standardization
Innovate with NLP & LLMs: Fine-tune transformers or LLMs, train new models, and continuously explore advancements in language technologies
Automate Model Deployment: Train transformers to flag conversations and automate the process from training to deployment (using JFrogML & CircleCI)
Collaborate on Big Data: Use Databricks and AWS to wrangle datasets of epic proportions
Develop Production-Ready Code: Leverage Python, OOP, and best practices (packaging, pre-commit, linting) to turn POCs into production ready services - while collaborating with our incredible back-end/DevOps teams
Stay Curious: Keep up-to-date with the latest in ML, share knowledge with the team, and keep the data (science) party going.
Our mission is to improve the quality of online conversations and build a healthier web where content creators of all kinds are empowered to thrive. As a product company, we partner with publishers and brands to forge strong, direct relationships with their audiences.
To achieve this, our Data Science team leads various initiatives around conversation moderationthink spam detection, toxicity, hate speech, or bot detection. We incorporate large-scale transformer models and LLMs at scale to make it happen.
In our work, we research, build, deploy and monitor solutions using the latest and greatest tools.
When you join our Data Science team, youll tackle everything from NLP classification challenges, RL model training for optimizing real time bidding, detection of bots using graph networks and scaling cutting-edge transformer models in production.
If youre ready to dive into huge amounts of data and have fun doing it - read on!
What Youll do:
Develop & Standardize ML Tooling: Build frameworks and reusable modules to streamline model deployment and code standardization
Innovate with NLP & LLMs: Fine-tune transformers or LLMs, train new models, and continuously explore advancements in language technologies
Automate Model Deployment: Train transformers to flag conversations and automate the process from training to deployment (using JFrogML & CircleCI)
Collaborate on Big Data: Use Databricks and AWS to wrangle datasets of epic proportions
Develop Production-Ready Code: Leverage Python, OOP, and best practices (packaging, pre-commit, linting) to turn POCs into production ready services - while collaborating with our incredible back-end/DevOps teams
Stay Curious: Keep up-to-date with the latest in ML, share knowledge with the team, and keep the data (science) party going.
Requirements:
Experience: 4+ years of experience as a Machine Learning Engineer
Knowledge in ML & NLP: Transformer & LLM is a must, Classical ML knowledge is a plus
Skilled Python Developer: Have a deep understanding of virtual environments like poetry and can write clean, Pythonic code. Familiar with object-oriented design, modular code, and neat code packaging
Production Oriented: Experience deploying models at scale (we love well-oiled machine learning pipelines!)
Eternal Learner: Loves to learn, experiment, and turn ideas into impactful projects
Cloud: Experience working with cloud platforms such as AWS or GCP
Bonus Points:
Experience deploying ML models using Docker, Kubernetes, or other cloud services
Working with advanced IDEs such as Cursor.AI
Familiarity with MLOps best practices for continuous integration and deployment
Solid understanding of machine learning algorithms, statistical modeling, and deep learning
Hands-on experience with PySpark
Experience with JFrogML (Qwak) or other ML deployment platforms.
Experience: 4+ years of experience as a Machine Learning Engineer
Knowledge in ML & NLP: Transformer & LLM is a must, Classical ML knowledge is a plus
Skilled Python Developer: Have a deep understanding of virtual environments like poetry and can write clean, Pythonic code. Familiar with object-oriented design, modular code, and neat code packaging
Production Oriented: Experience deploying models at scale (we love well-oiled machine learning pipelines!)
Eternal Learner: Loves to learn, experiment, and turn ideas into impactful projects
Cloud: Experience working with cloud platforms such as AWS or GCP
Bonus Points:
Experience deploying ML models using Docker, Kubernetes, or other cloud services
Working with advanced IDEs such as Cursor.AI
Familiarity with MLOps best practices for continuous integration and deployment
Solid understanding of machine learning algorithms, statistical modeling, and deep learning
Hands-on experience with PySpark
Experience with JFrogML (Qwak) or other ML deployment platforms.
This position is open to all candidates.
תל אביב - יפו
Conntour (YC W25)
OpenWeb
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