Senior Software Engineer - Data/AI Engineering
Engineering•EMEA (Remote)•Full-time•
Salary Range
$80,000 to $157,000 USD + Equity
Description
Who We Are 🌍
- At Message Polly, we're revolutionising how marketing messages are sent. We're the first to blend messaging with ads across major platforms, ensuring messages hit the mark when it counts. Our tech uses real data and AI to give marketers a deeper look into customer behaviour, upping the game for ad returns.
- We're a startup built by former Facebook and WhatsApp employees, who want to change how advertising works. Come join us if you're into shaping the future of ads. We're after a killer team with all sorts of experience, where everyone gets a shot at doing great work and growing their career.
Who You Are 🌟
- We are embarking on an exciting venture within our product line, focused on messaging and ads and AI-powered services. To lead this initiative, we're assembling a highly skilled team to develop and maintain these cutting-edge solutions.
- We’re seeking an experienced Senior Software Engineer who will collaborate with experts to design and build these services from the ground up. You're not just an engineer; you're a visionary leader ready to steer our data and AI strategy. In the next phase, this leader will assemble and manage a new team to develop our data infrastructure and AI capabilities.
- If you’re passionate about driving Data and AI innovation and want to shape the future of our product, join us to make a significant impact.
What You’ll Do 🚀
- Design, develop, and maintain scalable, high-performance service architectures, data pipelines, and recommendation algorithms.
- Lead the integration of AI/ML models into our product offerings for enhanced user experiences.
- Develop and implement data governance policies to ensure data integrity and compliance.
- Ensure scalability, efficiency, and reliability of machine learning systems.
- Mentor junior engineers, fostering growth and knowledge sharing.
- Keep up-to-date with cutting-edge trends in Data, Machine Learning, and Deep Learning.
- Adapt quickly to new tools, ensuring data products are accurate and user-friendly.
- Monitor and enhance production services for performance and stability.
What You’ll Bring 💥
- 5+ years in data engineering, with deep expertise in graph databases, streaming analytics, and cloud platforms.
- Proficient in technologies like Neo4j, Apache Kafka, and cloud services such as AWS, Google Cloud, Supabase.
- Strong programming skills in Python, including asynchronous techniques, and familiarity with PostgreSQL, Redis, Docker, Kubernetes.
- Expertise in AI/ML, particularly in data analysis and quality metrics enhancement.
- Familiarity with one or more DL software frameworks such as Tensorflow, PyTorch.
- Hands-on experience with tech stack including Next.js, Supabase, Shadcn UI, React Query, and Zod.
- Knowledge and experience with Meta and Google APIs.
- Proven leadership in managing engineering teams, with emphasis on hiring and performance.
- Strong problem-solving, analytical, and communication skills to collaborate across departments.
Our Benefits 🤗
- 100% Remote Work: We champion work-life balance by offering full-time, permanent remote work. Say goodbye to office commutes and hello to productivity and comfort in your own space.
- Competitive Compensation: Transparency is key at Message Polly. We provide a competitive salary package designed to reflect your impact, ensuring financial reasons won't be why you leave.
- Employee Stock Options (ESOP): Have skin in the game and get a stake in our success. As we grow, so does your share in the company.
- Home Office Setup: We believe in equipping you for success. From laptops and screens to ergonomic chairs and lighting, we cover the essentials for a top-tier home office.
- Annual Epic Offsite: Once a year, we gather for an unforgettable retreat. Expect team-building, relaxation, and a few cocktails under the sun.
- Co-working Space Access: Sometimes, a change of scenery is all you need. We provide access to co-working spaces for those days when you want to mix things up.