Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building next-generation vessel and intrusion detection systems using Distributed Acoustic Sensing (DAS) and AIS data with an accent on signal processing and computer vision. Focus on designing and validating ML pipelines for subsea infrastructure monitoring and interpreting complex acoustic signatures.

Location: Poland

Company

hirify.global is a global provider of business and tech advisory, enterprise solutions, and software development services.

What you will do

• Research and validate machine learning approaches for DAS-based vessel detection.
• Train and adapt deep learning and computer vision models for acoustic signal interpretation.
• Build proof-of-concept AI systems integrating DAS and AIS datasets.
• Develop scalable ML workflows using Vertex AI and MLFlow.
• Analyze vessel signatures including engine, propeller, and vibration patterns.
• Collaborate with cross-functional teams to deliver production-oriented R&D outcomes.

Requirements

• Strong experience training and fine-tuning deep learning models in PyTorch.
• Hands-on experience with computer vision and transformer-based architectures (e.g., DINO, Vision Transformers).
• Experience building ML pipelines and experiment tracking using MLFlow and Vertex AI.
• Strong Python engineering skills and modern AI development workflows.
• Experience working with time-series or signal processing data.
• Ability to operate effectively in ambiguous R&D environments with evolving requirements.

Nice to have

• Experience with DAS, seismic, sonar, or other sensor-based systems.
• Familiarity with PostgreSQL/PostGIS and geospatial indexing (H3).
• Experience deploying ML systems on Google Cloud Platform.
• Understanding of acoustic signal analysis and spectral methods.
• Experience with multimodal data fusion (vision + sensor data).

Culture & Benefits

• Equal opportunities in recruitment, career development, and leadership.
• Inclusive work environment that values diversity and individuality.
• Opportunity to influence the technical direction of a high-impact, early-stage project.
• Collaborative environment within a senior-level engineering and research team.

Hiring process

• Application review followed by a Talent Acquisition interview.
• Technical interview focused on expertise and problem-solving.
• Potential customer interview for final alignment.