Machine Learning Engineer

Who we are 

Stensul Agile Email Creation is the first email creation platform built for the enterprise. Stensul dramatically reduces email creation time by up to 90% to help team resources focus on improving email performance. With the Stensul Email Creation Hub™, teams launch campaigns faster by streamlining the collaboration process and simplifying creation for all marketers, so they can build emails that drive results. Stensul integrates with leading marketing platforms including Marketo, Oracle Eloqua, Workfront, Adobe Campaign, and Salesforce Marketing Cloud. The world’s best brands trust Stensul, including ASICS Digital, BMW, Box, Catalent Pharma Solutions, Clover Health, Greenhouse, and Samsung. 

What you'll do 

As a Machine Learning Engineer, you’ll be the company’s expert in building our first Generative AI and Machine Learning application. You will architect, implement, and deploy scalable ML solutions integrated with our product, while ensuring they’re efficient, cost-effective, and aligned with the needs of internal and external users. You’ll also mentor other engineers, shaping the way we do data modeling and coding, as well as collaborate with cross-functional teams to drive data practices that enhance business and product development.

We’re in a period of high growth which means we move fast, but you’ll do so alongside smart, driven individuals in a fun, collaborative environment with opportunities for growth. Learning Agile is one of our core values, which means that we are always identifying ways to make things better, and welcome new tools and languages that help us improve the way we work. 

Specific responsibilities include: 

• Working with roughly defined requirements and using the business vision to elaborate and build effective solutions to data informed decision problems 
• Building the infrastructure required to enable self-serving of a data platform to be used by a variety of stakeholders with different skill sets 
• Build and deploy the company’s first Generative AI and Machine Learning application within the Stensul product, delivering impactful solutions that enhance product offerings and drive insights.
• Following our agile methodology and contributing to its improvement 
• Own and lead initiatives from inception to delivery and maintenance in an autonomous way 
• Proactively adding positive energy to our rapidly growing company

Your skills and experience 

• Machine Learning Expertise: Proficient in building, training, deploying and monitoring ML models, with a focus on practical, scalable applications that drive product and business value.
• GenAI Know-how: experience in building content generation applications utilizing techniques in the NLP &/or Image Generation field, having exposure to multi-modal generation is a plus.
• Experience with GCP and Related Technologies: Skilled in GCP services (e.g., BigQuery, GKE, Vertex AI), and tools like Databricks, MongoDB, and MySQL.
• Proficiency in Data Transformation and Modeling: Strong understanding of data modeling, data transformation, and preparing datasets for machine learning and analytics.
• Knowledge of Orchestration and Automation Tools: Experience with orchestration tools such as Airflow or Prefect to automate and scale ML pipelines.
• Programming Skills: Skilled in Python, Java or Scala or other commonly used in ML engineering. Exposure to SQL, PHP Laravel, Typescript & Vue are a plus.
• Mentorship and Communication: Ability to mentor junior team members and clearly communicate complex ML concepts to both technical and non-technical stakeholders.
• Autonomous, Resource-Conscious Development: Comfortable making cost-effective decisions across multi-cloud and data infrastructure setups.

What we offer

• Competitive salary & benefits
• Company laptop and phone reimbursement (if required)
• Other awesome secret benefits we’ll tell you once you are on the team
• Being a part of an amazing, inclusive team that lives by our shared values and is committed to building the next phase of stensul

Stensul is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce.

If your experience is close (even if not a perfect fit) to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.