Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.

We are looking for a Senior or Lead Machine Learning/Signal Processing Engineer to spearhead the development of cutting-edge ML/DL models tailored for ultra low-power devices. You will play a key role in the end-to-end pipeline - from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers. 

Key Responsibilities

• ML/DL Model Development 

• Design, implement, and optimize ML/DL models for ultra low-power devices, focusing on efficient use of limited resources. 

• Collaborate with firmware developers to integrate models into embedded systems. Signal Processing & Feature Extraction 

• Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights. 

• Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy. Data Collection & Management.

• Curate and manage datasets, ensuring data quality and relevance for training and testing. 

• Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy. Model Optimization.

• Implement and maintain model compression, quantization, and pruning techniques for microcontrollers. 

• Conduct performance analysis and benchmark models across different hardware platforms. 

Collaboration & Leadership 

• Work closely with firmware developers to ensure smooth model integration and real-time deployment. 

• Mentor junior engineers, provide technical guidance, and help shape the overall ML roadmap. 

Qualifications Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field; PhD is a plus. 

• 5+ years of experience in designing and deploying ML/DL models, with a strong emphasis on signal processing. 

• Good level of English (both written and spoken), B2+.

Technical Skills 

• Proficiency in Python and at least one deep learning framework (e.g., TensorFlow, PyTorch). 

• Strong understanding of signal processing algorithms (Fourier transforms, filtering, denoising, feature extraction). 

• Experience with sensor data (accelerometers, GPS) and data collection pipelines. 

• Hands-on experience with embedded systems and microcontroller-based deployments. 

• Familiarity with model optimization techniques such as quantization, pruning, and knowledge distillation. 

• Comfortable with Git, CI/CD pipelines, and version control best practices.

Soft Skills 

• Excellent problem-solving skills and attention to detail. 

• Strong communication and collaboration abilities. 

• Ability to work effectively in a fast-paced, cross-functional environment. 

Nice to Have 

• Familiarity with C/C++ for embedded firmware development. 

• Experience with ultra low-power device constraints and power management techniques. 

• Prior contributions to open-source ML or signal processing projects. 

• Knowledge of hardware design and sensor fusion techniques.

• Location: Poland
• 100% remote work

Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.

About the company:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.

About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.

Job Description:

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with the Data Science team to define metrics, datasets, and automation strategy.

Key Qualifications:

• 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.

Soft-skills:

• Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
• Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.