Machine Learning Engineer
Trouvé dans: Talent FR C2 - il y a 3 semaines
Job Description
Joining the Dailymotion data team means taking part in the creation of our unique algorithms, designed to bring more diversity and nuance to online conversations.
Our Machine Learning team, established in 2016, has been actively involved in developing models across a diverse range of topics. Primarily, we focus on recommender systems, and extend our expertise to content classification, moderation, and search functionalities.
You will be joining a seasoned and diverse team of Senior Machine Learning Engineers, who possess the capability to independently conceptualize, deploy, A/B test, and monitor their models.
We collaborate closely with the Data Product Team, aligning our efforts to make impactful, data-driven decisions for our users.
Learn more about our ongoing projects:
As a Machine Learning Engineer, you will:
Design and deploy scalable recommender systems, handling billions of user interactions and hundreds of millions of videos. Contribute to various projects spanning machine learning domains, encompassing content classification, moderation, and ad-tech. Foster autonomy, taking ownership of your scope, and actively contribute ideas and solutions. Maintain and monitor your models in production. Collaborate with cross-functional teams throughout the entire machine learning model development cycle:Define success metrics in collaboration with stakeholders.Engage in data collection and hypothesis selection with the support of the Data Analysts Team.Conduct machine learning experiments, including feature engineering, model selection, offline validation, and A/B Testing.Manage deployment, orchestration, and maintenance on cloud platforms with the Data Engineering Team.
Qualifications
Master's degree/PhD in Machine Learning, Computer Science, or a related quantitative field. At least 1 year of professional experience working with machine learning models at scale (experience with recommender systems is a plus). Proficient in machine learning concepts, with the ability to articulate theoretical concepts effectively. Strong coding skills in Python & SQL. Experience in building production ML systems; familiarity with technologies such as GitHub, Docker, Airflow, or equivalent services provided by GCP/AWS/Azure. Experience with distributed frameworks is advantageous (Dataflow, Spark, etc.). Strong business acumen and excellent communication skills in both English and French (fluent proficiency). Demonstrated aptitude for autonomy and proactivity is highly valued.-
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