At a Glance
- Tasks: Lead the development of innovative AI solutions and mentor junior engineers.
- Company: Join SmartAssets, a cutting-edge AI platform within Stagwell Marketing Cloud.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and creativity.
- Why this job: Shape the future of advertising with advanced AI technologies and impactful projects.
- Qualifications: Experience in AI, machine learning, and strong collaboration skills required.
The predicted salary is between 36000 - 60000 £ per year.
SmartAssets is on the lookout for an experienced and innovative Lead AI Engineer to join our dynamic team. In this role, you will take a leadership position in developing and optimizing AI-driven features, guiding junior engineers, and ensuring the robustness and scalability of our AI solutions. You will play a pivotal role in shaping our platform's future by leading new projects and enhancing existing functionalities.
About SmartAssets: Incubated within the Stagwell Marketing Cloud, our AI platform empowers brands and creative agencies to produce high-quality advertising content by providing insight into the effectiveness of their creative choices. As part of the Stagwell Marketing Cloud, we leverage industry-leading technology and enjoy privileged access to agencies across the advertising spectrum.
Our Values
- Collaboration: We believe that bringing together different and varied expertise delivers results greater than the sum of their parts. Part of collaboration is ensuring we challenge each other constructively. This way we ensure that what we are building is really robust, and that we have mutual understanding and transparency.
- Curiosity: We want to know why an ad works or doesn’t work. We want to get under the skin of what engages an audience and moves them to action. We believe that data is key to the creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing science into the art of advertising. We want to know what we don’t know.
- Commitment: Bringing innovation to the market requires belief and drive. We have incredible momentum and great backing. We must remain committed to making SmartAssets the success we know it can be, focusing on what clients really need and delivering against that every single day.
Key Responsibilities
- Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.
- Collaborate with cross-functional teams to integrate AI technologies with other system components.
- Ensure the scalability, efficiency, and robustness of AI solutions.
- Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies.
- Conduct and participate in code and design reviews to uphold high-quality standards.
- Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment.
- Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.
Qualifications
- Extensive experience with version control tools, preferably Git.
- Proficiency in Docker and container orchestration.
- Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience in deploying AI models in a production environment.
- Proven ability to collaborate effectively with cross-functional teams and manage project timelines.
- Exceptional problem-solving skills and meticulous attention to detail.
- Deep understanding of data science fundamentals and experience with statistical analysis.
- Demonstrated experience in leading and mentoring technical teams.
Preferred Skills (Bonuses)
- Experience with cloud computing platforms (GCP) and their AI services.
- Familiarity with front-end technologies for AI-driven application development.
- Advanced understanding of data engineering and the ability to work with large datasets.
Education
Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Experience
Extensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps. Demonstrated leadership experience in AI and machine learning projects.
Note: Successful applicants will receive a coding challenge to evaluate their programming knowledge and skills as outlined in this job description. This step is an essential part of our selection process to ensure a good match with our team's needs and the demands of the role.
AI Engineer / Machine Learning Engineer employer: SmartAssets
SmartAssets is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to lead cutting-edge AI projects while mentoring junior engineers. Located within the Stagwell Marketing Cloud, we offer unique access to industry-leading technology and a commitment to employee growth through continuous learning and development opportunities. Join us to be part of a dynamic team that values curiosity and creativity, driving meaningful impact in the advertising landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer / Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with SmartAssets on LinkedIn. Building relationships can open doors that job boards can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. This gives us a glimpse of your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for the coding challenge! Brush up on your Python and machine learning libraries. We want to see how you think and solve problems, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at SmartAssets.
We think you need these skills to ace AI Engineer / Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with AI and machine learning. We want to see how you've used your skills in real-world projects, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for us at SmartAssets. Mention how your values align with ours, especially around collaboration and curiosity. This shows us you’re not just looking for any job, but you really want to be part of our team.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the role!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at SmartAssets
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with libraries like TensorFlow and PyTorch, and be prepared to explain how you've applied these in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, think of examples where you've led a team or project. Highlight how you foster collaboration and growth within your team, as SmartAssets values a constructive challenge.
✨Prepare for the Coding Challenge
Don't forget that a coding challenge is part of the selection process! Practice coding problems related to algorithms and data structures, and ensure you're comfortable with version control tools like Git and container orchestration with Docker.
✨Embrace Curiosity
SmartAssets values curiosity, so come prepared with questions about their projects and technologies. Show your enthusiasm for understanding what makes advertising effective and how data plays a role in that process.
