Senior MLOps Engineer, Dailymotion
Video streaming service
Be an early applicant
Video streaming service
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To build the next generation of media platforms designed to inspire millions of people to grow and share a diverse and inclusive vision of the world.
Role
Who you are
- 3+ years of experience in MLOps, DevOps, or Data Engineering
- Strong Expertise with cloud platforms (GCP,AWS,Azure) their ML services (Vertex AI, SageMaker, etc.) and data services ( Bigquery, buckets )
- Strong Expertise in CD pipelines for ML models (Flux)
- Experience in ML Orchestrators ( Kubeflow, Kuberay )
- Experience in CI pipelines for ML models (Flux, Jx3)
- Experience in Data pipelines for ML models (Airflow,DataFlow,Kestra)
- Experience with Data lifecycle Management (Storage policies, costs optimization , security, encryption)
- Proficiency in containerization and orchestration (Docker, Kubernetes, Helm)
- Experience in ML infrastructure optimization (GPUs,TPUs, Inferentia)
- Expertise with Infrastructure as Code (Terraform)
- Expertise in monitoring and observability capabilities (Prometheus, Datadog, Looker)
- Strong programming skills in Python, with experience in Bash scripting; knowledge of Go or Rust is a plus
- Strong collaboration and communication skills to work effectively with ML Engineers and cross-functional teams
- Ability to drive innovation and advocate for best MLOps practices within the company
- Cultural Alignment: We seek a creative, motivated individual who values growth and is eager to contribute to our team and product
- Excellent English communication skills, capable of working effectively in an international team
What the job involves
- Make a huge impact at Dailymotion by joining our team as an MLOps Engineer
- You will play a crucial role in bridging the gap between machine learning and engineering
- Collaborating with the teams to deliver innovative and high-quality data products
- Empowering ML Engineers by providing tools and infrastructure that enhance their productivity while adapting to their specific needs
- Accelerating time-to-market for the first production-ready versions of ML products by ensuring seamless integration, proper service connections, and access to data and resources
- Ensuring ML Engineers maintain control over their models in production, allowing them to monitor, troubleshoot, iterate quickly, and refine models and feature engineering logic
- Facilitating large-scale ML experimentation by providing robust, reproducible, and scalable test environments for data science projects, enabling both qualitative experimentation (internal tests and demos) and quantitative experimentation (A/B testing in production)
- Owning the industrialization and deployment (CI/CD) of ML models, ensuring their reliability, scalability, and performance through advanced MLOps practices
- Managing model operations and maintenance, guaranteeing optimal performance, monitoring, and continuous improvements in production
Application process
- Start Date: ASAP
Our take
In many ways, it's difficult to talk about Dailymotion without talking about YouTube, its most obvious competitor. And it is indeed worth noting that the company underwent a major change in recent years to build its own programmatic platform partially to compete more directly with its famous American counterpart.
However, the truth is the nature of modern content consumption means that Dailymotion need not obsess over YouTube’s user base. There’s enough of an audience - at least 4 billion people by some estimates - for both video-streaming giants to co-exist.
That means Dailymotion has been able to experiment with different strategies. For example, the platform indisputably has better relationships than YouTube with its corporate partners, often engaging in bespoke product development to facilitate deeper relationships.
Perhaps the biggest competitive threat for Dailymotion will be not from its rival video-streaming platform, but from entirely new forms of internet-based entertainment. Short-form video content from platforms like TikTok is already siphoning away the younger cohort of users from longer-format video providers, a trend Dailymotion will need to address in the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2009
$25m
SERIES C
Aug 2007
$34m
SERIES B
Total funding: $68.5m
Company benefits
- 🏡Hybrid Work Framework (4 types of remote work: Full office /Flex office (1/2 days remote) / Flex remote (1/2 days at the office) / Full remote + ability to work 3 months abroad)
- 💰International Group Savings Plan offered through the Vivendi Group
- 🍼8 weeks paid Paternity leave or Co-parental leave
- 🕶️Excellent Employee Culture (Company Events / Trainings / Parties / All hands …)
- 🚀Career development support (training / career check-in with HR / internal mobility / compensation cycle / 360 quarter feedback review …)
- 🏥Company-paid Health Insurance and Personal Services Vouchers (CESU)
- 🚆Commuter benefit coverage - Public Transport and Bike refund
- ⛱️Paid Time off – RTT and Saving time plan (CET)
- ✅Meal Vouchers
- 🎡Workers representatives committee(sport membership/cinemas vouchers/gift vouchers/discount)
Company HQ
Plaine-Monceau, Paris, France
Leadership
Maxime Saada
(CEO, not founder)Became the CEO of Dailymotion in 2015. They have also worked at CANAL+ since 2004, rising through the ranks, they are now the CEO. Prior to this, they worked as an Associate Principal at McKinsey & Company.
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