Senior Machine Learning Engineer

We are looking for a Sr. Machine Learning Engineer to join the AI Product Lab Creative Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text). We build and experiment with AI-based solutions across the creative workflow, from creative learning to creative production assistance and optimization. You will have the opportunity to take ownership of and work on high impact projects.

Our team members are based out of Helsinki and the San Francisco Bay Area. We are hiring for this position in Helsinki to be closer to DSs/MLEs on our team, as well as, Smartly’s product development org. The AI Product Lab Media team, our sibling team under the AI Product Lab banner, is also based out of Helsinki/Berlin. Our team works with teams in Helsinki/Berlin often and we’ve been able to effectively collaborate, despite the time zone difference.

Join us in building high impact ML-based solutions and efficient MLOps workflows to help our customers make the most out of their ad creatives. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Senior Machine Learning Engineer, you’ll…

• Architect, build, strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Architect and build end-to-end ML-based solutions, primarily in the creative production space. This primarily involves working with image, video, text, and ad performance data to generate new creatives, perform scalable asset search, power LLM-based workflows and much more.
• Work with large scale and proprietary advertising data.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing, generative AI, and explainability.

What we are looking for...

• Experience architecting and building MLOps/LLMOps workflows. Extensive knowledge of Python, IaC, and AWS is a must. Experience with ClearML and Prefect is a bonus.
• Experience architecting and building production-quality ML applications (especially computer vision and LLM) for industry applications.
• Passion for solving customers’ problems at a fast pace
• Passion to drive best possible technical architecture choices, and be fearless when facing unknown new challenges.
• Work with a globally distributed team effectively.

Smartly Launchpad is a learning experience for rising engineers looking to jumpstart their coding careers. Expect to work as a full-fledged team member from day one, taking ownership of product development and solving ad-hoc customer problems.

We tailor the Smartly Launchpad experience according to both your and our developer teams’ preferences. The length of the program is 6 months with the possibility of a permanent contract after if everything goes well. 

We are looking for a diverse set of developers across multiple teams at Smartly. You can be a fullstack engineer, or more focused on either frontend or backend. Our main technology stack consists of React, Typescript and Node.js. We also have teams which work with Ruby on Rails. 

At Smartly, we build tools that automate manual work for our customers and help them work more effectively. Our technology and outstanding customer service help brands to reach and engage their audiences, and scale their results.

Learn more about Our Product and Engineering at Smartly.

What to expect

• Like any other developer at Smartly, you'll get hands-on with building a software product for the largest online advertisers globally.
• Work closely with your team of bright colleagues.
• Add to your technical abilities and grow your skillset within our tech stack
• Provide technical support to our customers on a monthly basis (as all Smartlies do).

What we expect from you

• Good problem-solving skills and willingness to learn
• Some web development experience (i.e. internships or own projects)
• Proficiency in English, which is the official language in our company
• Recent graduation from a relevant field of studies or on at least your third year of studies
• Skills in React, NodeJS and Typescript or Ruby on Rails
• Understanding of typed languages and testing
• Ability to work in a hybrid capacity from our Helsinki office 3 days a week

What We Offer You…

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: Experience the flexibility of a hybrid work model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

What to expect from our recruitment process...

1. First meeting: we're getting to know each other.
2. Meeting the Team Lead: learn more about your future team and meet your prospective manager
3. Technical interviews: You’ll take part in ML Concepts & Coding Exercise followed by an interview around MLOps focused Systems Design & Architecture Concepts
4. Final meeting: You’ll meet the CPO, AI applications who oversees the Advertising Intelligence teams

#LI-Hybrid #LI-SL