We’re looking for a Senior ML Engineer to join our team and help shape the future of contextual advertising as we continue to expand globally.
Who We Are
At Seedtag our goal is to lead the change in the advertising industry because we believe that effective advertising should not be at odds with users’ privacy.
By combining Natural Language Processing and Computer Vision our proprietary, Machine Learning-based technology provides a human-like understanding of the content of the web that finds the best context for each ad while providing unparalleled risk-mitigation capabilities that protect advertisers from showing their ads on pages that could be damaging for their brand. All of this, without relying on cookies or any other tracking mechanisms.
Every day, our teams develop new services that reach over 200 million users worldwide with fast response times to ensure that we deliver the best user experience. We’re fully committed to the DevOps culture, where we provide the platform that our Software Developers and Data Scientists use to manage over 100 different microservices, pushing dozens of changes to production every day. All of this is built on top of Kubernetes in Google Cloud Platform and Amazon Web Services.
If you are interested in joining one of the fastest-growing scale-ups in Europe and working on massive scalability challenges, this is the place for you.
Your Challenge
Our squad develops, trains and deploys the Machine Learning models that provide the signals to be used for the setup and analysis of every ad campaign.
Therefore, you are comfortable working in any phase of the lifecycle of a Machine Learning model, but most especially with their deployment, monitoring and automation. You are excited about the idea of deploying recent Machine Learning models while addressing complex requirements such as scalability, fast response time and cost-effectiveness. Moreover, you do not take Machine Learning model-related design choices for granted, but you challenge experienced data scientists and contribute to shaping their solutions in search of technical excellence while addressing business requirements.
You will work close to the production environment and hand-to-hand with the team’s Data Scientists, MLOps and Data engineers, getting immediate feedback on your solution. From your head to the cluster, you will have a barrier-free highway and a proactive team around you to support your work and ideas.
- This is a high-impact role that will shape the future of Seedtag.
- You will develop and deploy production-oriented data software.
- You will develop machine-learning solutions to solve business problems.
- You will work on identifying, exploring, and making sense of data sources.
- You will partner closely with data scientists, data engineers, and MLOps engineers.
Our core values
Our core tech values reflect our commitment to delivering exceptional results, fostering a culture of continuous learning, and always putting the customer's needs first. We believe that success comes from focusing on the outcomes rather than just the output. Our tech team aims to solve problems that make a meaningful difference, and we measure our success by the impact we have on the customer.
- Failure is allowed, learning is a must
We also recognize that failure is an inevitable part of the innovation process. Our team understands that setbacks are opportunities to learn and grow. We believe in testing early and often, and we continuously iterate and improve until we arrive at the best solution.
Another core value we hold is that we are all scouts. We believe in leaving things better than we found them. This means we take ownership of our work and strive to improve the systems and processes we touch. We encourage our team members to be proactive in identifying areas for improvement, and we value those who take the initiative to implement positive changes. Our goal is to leave a lasting, positive impact on our projects and our team.
Lastly, our team is data-driven. We believe that making informed decisions based on data is crucial to our success. Our team uses data to guide our decision-making process and to identify opportunities for improvement. We are committed to using data to continuously monitor and optimize our models and processes to ensure that we are delivering the best possible outcome for our customers.
Tech Stack
We have to support 120k requests per second running with ML models in production answering within 10 milliseconds! We have this running in production with Python and GoLang microservices using datalakes, GCS, Redis, Kinesis or Kafka. All this is constantly deployed in GCP using Kubernetes and other kinds of production stacks. The current stack outputs 20 TB of daily data having them ready to use for analytics and more with easy and low latency access.
In the rest of the company, we also develop in Typescript for Nodejs and Scala making use of technologies like Kafka, Druid and MongoDB all over the Google Cloud Platform.
What You’ll Need to Succeed
- You (preferentially) have a degree in computer science, engineering or another degree with a strong quantitative component.
- Preferentially, you have 5+ years of solid experience in the end-to-end lifecycle of ML models, especially in their deployment into production with Docker and Kubernetes, and in their monitoring and automatization with Airflow.
- Experience in software development, particularly in building and deploying APIs using Python frameworks like FastAPI or similar.
- Proficient in designing scalable, high-performance backend services, integrating machine learning models into production systems, and implementing RESTful APIs for seamless interaction between ML pipelines and applications.
- You care about producing maintainable code over time using good programming practices. You have experience in testing and with CI/CD tools.
- You understand the functioning of the main ML algorithms and tools (e.g., Scikit-learn, Tensorflow…), and, you have some experience applying these to real problems.
- We are an international company, so you must be fluent in English.
- Nice to have: experience deploying embedding models into production environments, optimizing performance through techniques like model caching, and managing scalable infrastructure for real-time inference.
- Nice to have: you are not afraid of running data analysis with SQL and Python libraries such as Pandas or Scipy.
- You are a big-picture thinker who can see the forest and the trees. You have a strong understanding of the technical and business requirements of the projects you work on, and you can think strategically to ensure that your work aligns with the goals of the company.
- You are a problem solver who loves a good challenge. You are energized by tackling complex technical problems and figuring out creative solutions.
- You are a continuous learner who is passionate about your craft. You are committed to staying up-to-date with the latest developments in data science and engineering and are always looking for ways to improve your skills and knowledge.
- You are a strong communicator who can work effectively in a team. You are comfortable working collaboratively with others, and you are able to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- You are adaptable and flexible. You are comfortable working in a dynamic, fast-paced environment, and you can adjust to changing priorities and requirements.
If you possess these qualities and are excited about the opportunity to work on challenging, high-impact projects with a talented and passionate team, we encourage you to apply for this position.
Why Join Seedtag?
Growth & Opportunity: A key moment to join with vast career development prospects.
Flexibility: At Seedtag, we trust you to balance work and life effortlessly with the option to a 100% remote (Please note that while we operate as a 100% remote company, we can only extend contracts within Europe in countries where we have established legal entities: Spain, Italy, the UK, Belgium, the Netherlands, France, and Germany) or hybrid work setup, depending on what works best.
Learning & Development: Online courses in ODILO, and optional English, French, or Spanish group classes.
Inclusive Culture: We foster a supportive environment that values personal growth.
Fun & Connection: Participate in team activities, company offsites, and more!
Additional Perks
- Flexible benefits plan: Restaurant, transportation, and kindergarten vouchers.
- Health insurance: Comprehensive coverage included.
- Gympass: Access to wellness programs and fitness classes.
- Seedsave Program: Exclusive discounts to help you save for the future.
- Build your home office with a gross budget of up to 1K€ (external screen, chair, table...)
- Paid travels to our HQ in Madrid to work p2p with your squad members
- Macbook Pro M3
Ready to join the Seedtag adventure? Send us your CV and let’s grow together!
At Seedtag, we’re committed to creating an inclusive environment where everyone can thrive. We welcome diverse perspectives as they fuel our innovation and growth. Please let us know if you require accommodations during the hiring process and we’ll ensure a positive and accessible experience.
