• GPU (CUDA, OpenCL, DirectX, Shader language, ISA, GPU assembler)

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

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.