Job title:
Lead Machine Learning Engineer
Company:
Softeq
Job description
Established in 1997, Softeq 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 we’ve expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let’s get started and build a better future together!Location: Poland/EU countriesType of contract: B2B (fully remote)Responsibilities
- Evaluate and adapt state-of-the-art machine learning (ML), computer vision (CV), generative AI, and time series forecasting algorithms to meet product and client objectives.
- Research, design, and implement innovative ML algorithms for image, video, multimodal, and temporal data.
- Architect and develop full-stack ML pipelines—from data acquisition and preprocessing to training, evaluation, and deployment in cloud (AWS) or edge environments.
- Prototype and validate proof-of-concept (POC) solutions for vision, generative AI, and time-series forecasting problems.
- Translate customer requirements into actionable tasks, ensuring a clear understanding of objectives, scope, and expected outcomes.
- Analyze structured and unstructured data to uncover trends, patterns, and anomalies. Apply ML and statistical methods for prediction and forecasting.
- Prepare detailed technical documentation, reports, and presentations for internal and external stakeholders.
- Communicate complex technical topics effectively to both technical and non-technical stakeholders, including clients and business partners.
- Lead projects from prototype to production, ensuring scalability, reliability, and performance of solutions.
- Contribute to internal software development processes and team collaboration initiatives.
Requirements
- Strong hands-on experience in delivering ML solutions, including production-grade computer vision and forecasting models.
- Proven expertise in forecasting and time series data handling (e.g., ARIMA, LSTM, temporal convolutional networks).
- Proficiency in image and video processing, including segmentation, pose estimation, object detection, and multimodal data fusion.
- Experience with generative AI models such as diffusion-based text-to-image/video, multimodal LLMs, and prompt engineering.
- Skilled in reading, interpreting, and applying insights from academic research papers.
- Expertise in deep learning frameworks like PyTorch or TensorFlow.
- Strong object-oriented programming skills with clean, production-quality Python code.
- Familiarity with Vision Transformers (ViTs), especially for action recognition, object tracking, and video understanding tasks.
- Cloud deployment experience, particularly with AWS.
- Excellent communication skills in English (C1 or higher), both written and spoken.
- Strong ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
Nice to Have
- Master’s or Ph.D. degree in Machine Learning, Computer Science, Mathematics, or a related field.
- Contributions to open-source ML or CV libraries or participation in Kaggle competitions.
Softeq started in 1997, and now we have offices in Houston, Vilnius, Munich, and Mexico. As a full-stack company, we help clients create turnkey smart gadgets and standalone components of IoT systems. We have our own Startup Venture Fund and collaborate with MIT. Come join us!
Expected salary
Location
Warszawa, mazowieckie
Job date
Fri, 23 May 2025 23:45:06 GMT
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