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Machine Learning Engineer

Location: Barcelona / Europe 

Compensation: Competitive, based on experience 

About Us 

We’re an AI-based application designed for leaders. In today’s fast-paced and competitive world, time is money. Our smart scheduling algorithm empowers busy professionals to reclaim control over their schedules, while we handle the heavy lifting. It’s time to break free from the constraints of traditional calendars and optimize time management like never before. The future of time management starts here. 

Why Join? 

Position Overview 

We’re seeking a dedicated and highly skilled Machine Learning Engineer to join our team. This role involves hands-on work in data ingestion, pipeline development, data storage, and the application of ML models to extract actionable insights and enhance predictive accuracy. 

What You’ll Do 

1. Data Ingestion and Preprocessing: Collaborate on sourcing relevant data for scheduling, developing processes to collect, clean, and prepare data for analysis. 

2. Data Storage and Management: Design scalable data storage solutions, maintaining data integrity and optimizing databases to support ML operations. 

3. Machine Learning Model Development: Dive into advanced ML techniques to analyze calendar data, identify preferences, categorize and classify information, and discover patterns. 

4. Model Optimization: Apply tuning, validation, and regularization to improve model performance, ensuring robustness and reliability.

5. Model Deployment: Work closely with our development team to deploy models into production, overseeing their integration and ongoing performance. 

Who We’re Looking For 

Interview Process 

Step 1 – Initial Screening: We will conduct an initial phone/video interview to discuss your background, experience, and interest in us and the role. This interview typically lasts about 30-45 minutes and serves as an opportunity for us to get to know you better. 

Step 2 – Technical Assessment: Upon successful completion of the initial screening, we will provide you with a technical assessment designed to evaluate your ability to conceptualize and design ML solutions through a written proposal. 

Step 3 – On-site/Remote Interviews: After the assessment, you will be invited for an in-depth interview to discuss the exercise provided, focusing on problem-solving and innovation capabilities. 

Step 4 – Leadership Meet and Greet: As a last step, you will meet with other team members to understand the company’s culture and vision.

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